| 2013 | ||
|---|---|---|
| j73 | Xing Fan, John H. L. Hansen: Acoustic analysis and feature transformation from neutral to whisper for speaker identification within whispered speech audio streams. Speech Communication 55(1): 119-134 (2013) | |
| j72 | Mahnoosh Mehrabani, John H. L. Hansen: Singing speaker clustering based on subspace learning in the GMM mean supervector space. Speech Communication 55(5): 653-666 (2013) | |
| j71 | Seyed Omid Sadjadi, John H. L. Hansen: Unsupervised Speech Activity Detection Using Voicing Measures and Perceptual Spectral Flux. IEEE Signal Process. Lett. 20(3): 197-200 (2013) | |
| j70 | Taufiq Hasan, John H. L. Hansen: Acoustic Factor Analysis for Robust Speaker Verification. IEEE Transactions on Audio, Speech & Language Processing 21(4): 842-853 (2013) | |
| 2012 | ||
| j69 | Abhijeet Sangwan, John H. L. Hansen: Automatic analysis of Mandarin accented English using phonological features. Speech Communication 54(1): 40-54 (2012) | |
| j68 | Junlan Feng, Bhuvana Ramabhadran, John H. L. Hansen, Jason D. Williams: Trends in Speech and Language Processing [In the Spotlight]. IEEE Signal Process. Mag. 29(1): 177-179 (2012) | |
| j67 | Amit Das, John H. L. Hansen: Constrained Iterative Speech Enhancement Using Phonetic Classes. IEEE Transactions on Audio, Speech & Language Processing 20(6): 1869-1883 (2012) | |
| j66 | Amit Das, John H. L. Hansen: Phoneme Selective Speech Enhancement Using Parametric Estimators and the Mixture Maximum Model: A Unifying Approach. IEEE Transactions on Audio, Speech & Language Processing 20(8): 2265-2279 (2012) | |
| c167 | Taufiq Hasan, Hynek Boril, Abhijeet Sangwan, John H. L. Hansen: A multi-modal highlight extraction scheme for sports videos using an information-theoretic excitability measure. ICASSP 2012: 2381-2384 | |
| c166 | Wooil Kim, John H. L. Hansen: Feature compensation employing online GMM adaptation for speech recognition in unknown severely adverse environments. ICASSP 2012: 4121-4124 | |
| c165 | Seyed Omid Sadjadi, John H. L. Hansen: Blind reverberation mitigation for robust speaker identification. ICASSP 2012: 4225-4228 | |
| c164 | Gang Liu, Yun Lei, John H. L. Hansen: Robust feature front-end for speaker identification. ICASSP 2012: 4233-4236 | |
| c163 | Seyed Omid Sadjadi, Hynek Boril, John H. L. Hansen: A comparison of front-end compensation strategies for robust LVCSR under room reverberation and increased vocal effort. ICASSP 2012: 4701-4704 | |
| c162 | Gang Liu, Jun-Won Suh, John H. L. Hansen: A fast speaker verification with universal background support data selection. ICASSP 2012: 4793-4796 | |
| c161 | Abhijeet Sangwan, Ali Ziaei, John H. L. Hansen: ProfLifeLog: Environmental analysis and keyword recognition for naturalistic daily audio streams. ICASSP 2012: 4941-4944 | |
| c160 | Hynek Boril, Abhijeet Sangwan, John H. L. Hansen: Arabic Dialect Identification - 'Is the Secret in the Silence?' and Other Observations. INTERSPEECH 2012 | |
| c159 | Keith W. Godin, Taufiq Hasan, John H. L. Hansen: Glottal Waveform Analysis of Physical Task Stress Speech. INTERSPEECH 2012 | |
| c158 | Taufiq Hasan, John H. L. Hansen: Front-end Channel Compensation using Mixture-dependent Feature Transformations for i-Vector Speaker Recognition. INTERSPEECH 2012 | |
| c157 | Taufiq Hasan, John H. L. Hansen: Integrated Feature Normalization and Enhancement for robust Speaker Recognition using Acoustic Factor Analysis. INTERSPEECH 2012 | |
| c156 | Wooil Kim, John H. L. Hansen: Gaussian Map based Acoustic Model Adaptation Using Untranscribed Data for Speech Recognition in Severely Adverse Environments. INTERSPEECH 2012 | |
| c155 | Mahnoosh Mehrabani, John H. L. Hansen: Speaker Clustering for a Mixture of Singing and Reading. INTERSPEECH 2012 | |
| c154 | Seyed Omid Sadjadi, Taufiq Hasan, John H. L. Hansen: Mean Hilbert Envelope Coefficients (MHEC) for Robust Speaker Recognition. INTERSPEECH 2012 | |
| c153 | Seckin Uluskan, John H. L. Hansen: Phoneme Class Based Adaptation for Mismatch Acoustic Modeling of Distant Noisy Speech. INTERSPEECH 2012 | |
| c152 | Ali Ziaei, Abhijeet Sangwan, John H. L. Hansen: Prof-Life-Log: Audio Environment Detection for Naturalistic Audio Streams. INTERSPEECH 2012 | |
| 2011 | ||
| j65 | John H. L. Hansen, Wooil Kim, Mandar Rahurkar, Evan Ruzanski, James Meyerhoff: Robust Emotional Stressed Speech Detection Using Weighted Frequency Subbands. EURASIP J. Adv. Sig. Proc. 2011 (2011) | |
| j64 | Amardeep Sathyanarayana, Pinar Boyraz, John H. L. Hansen: Information fusion for robust 'context and driver aware' active vehicle safety systems. Information Fusion 12(4): 293-303 (2011) | |
| j63 | Yun Lei, John H. L. Hansen: Mismatch modeling and compensation for robust speaker verification. Speech Communication 53(2): 257-268 (2011) | |
| j62 | Wooil Kim, John H. L. Hansen: Variational noise model composition through model perturbation for robust speech recognition with time-varying background noise. Speech Communication 53(4): 451-464 (2011) | |
| j61 | Yun Lei, John H. L. Hansen: Dialect Classification via Text-Independent Training and Testing for Arabic, Spanish, and Chinese. IEEE Transactions on Audio, Speech & Language Processing 19(1): 85-96 (2011) | |
| j60 | Xing Fan, John H. L. Hansen: Speaker Identification Within Whispered Speech Audio Streams. IEEE Transactions on Audio, Speech & Language Processing 19(5): 1408-1421 (2011) | |
| j59 | Wooil Kim, John H. L. Hansen: A Novel Mask Estimation Method Employing Posterior-Based Representative Mean Estimate for Missing-Feature Speech Recognition. IEEE Transactions on Audio, Speech & Language Processing 19(5): 1434-1443 (2011) | |
| j58 | Taufiq Hasan, John H. L. Hansen: A Study on Universal Background Model Training in Speaker Verification. IEEE Transactions on Audio, Speech & Language Processing 19(7): 1890-1899 (2011) | |
| j57 | Kazuya Takeda, John H. L. Hansen, Pinar Boyraz, Lucas Malta, Chiyomi Miyajima, Hüseyin Abut: International Large-Scale Vehicle Corpora for Research on Driver Behavior on the Road. IEEE Transactions on Intelligent Transportation Systems 12(4): 1609-1623 (2011) | |
| c151 | Balkan Kecicioglu, Wenxun Qiu, Hlaing Minn, John H. L. Hansen: Spatial, spectral and temporal adaptation for fast fading MIMO-OFDMA systems. GLOBECOM Workshops 2011: 597-602 | |
| c150 | Tao Yu, John H. L. Hansen: Relative proportionate NLMS: Improving convergence for acoustic channel identification. ICASSP 2011: 81-84 | |
| c149 | Abhijeet Sangwan, Mahnoosh Mehrabani, John H. L. Hansen: Language identification using a combined articulatory prosody framework. ICASSP 2011: 4400-4403 | |
| c148 | ||
| c147 | Hynek Boril, John H. L. Hansen: UT-Scope: Towards LVCSR under Lombard effect induced by varying types and levels of noisy background. ICASSP 2011: 4472-4475 | |
| c146 | Amit Das, John H. L. Hansen: Phoneme selective speech enhancement using the generalized parametric spectral subtraction estimator. ICASSP 2011: 4648-4651 | |
| c145 | Jun-Won Suh, Yun Lei, Wooil Kim, John H. L. Hansen: Effective background data selection in SVM speaker recognition for unseen test environment: More is not always better. ICASSP 2011: 5304-5307 | |
| c144 | Seyed Omid Sadjadi, John H. L. Hansen: Hilbert envelope based features for robust speaker identification under reverberant mismatched conditions. ICASSP 2011: 5448-5451 | |
| c143 | Xing Fan, Keith W. Godin, John H. L. Hansen: Acoustic Analysis of Whispered Speech for Phoneme and Speaker Dependency. INTERSPEECH 2011: 181-184 | |
| c142 | Hynek Boril, Frantisek Grézl, John H. L. Hansen: Front-End Compensation Methods for LVCSR Under Lombard Effect. INTERSPEECH 2011: 1257-1260 | |
| c141 | Wooil Kim, John H. L. Hansen: Feature Compensation for Speech Recognition in Severely Adverse Environments Due to Background Noise and Channel Distortion. INTERSPEECH 2011: 1653-1656 | |
| c140 | Chi Zhang, John H. L. Hansen: Frame-Level Vocal Effort Likelihood Space Modeling for Improved Whisper-Island Detection. INTERSPEECH 2011: 2421-2424 | |
| c139 | Xing Fan, John H. L. Hansen: Speaker Identification for Whispered Speech Using a Training Feature Transformation from Neutral to Whisper. INTERSPEECH 2011: 2425-2428 | |
| c138 | Freddy William, Abhijeet Sangwan, John H. L. Hansen: Using Human Perception for Automatic Accent Assessment. INTERSPEECH 2011: 2509-2512 | |
| c137 | Azar Taufique, Kumaran Vijayasankar, Wooil Kim, John H. L. Hansen, Marco Tacca, Andrea Fumagalli: Phone Impact Based Speech Transmission Technique for Reliable Speech Recognition in Poor Wireless Network Conditions. INTERSPEECH 2011: 2529-2532 | |
| c136 | Taufiq Hasan, John H. L. Hansen: Robust Speaker Recognition in Non-Stationary Room Environments Based on Empirical Mode Decomposition. INTERSPEECH 2011: 2733-2736 | |
| c135 | Keith W. Godin, John H. L. Hansen: Vowel Context and Speaker Interactions Influencing Glottal Open Quotient and Formant Frequency Shifts in Physical Task Stress. INTERSPEECH 2011: 2945-2948 | |
| c134 | Tauhidur Rahman, Soroosh Mariooryad, Shalini Keshavamurthy, Gang Liu, John H. L. Hansen, Carlos Busso: Detecting Sleepiness by Fusing Classifiers Trained with Novel Acoustic Features. INTERSPEECH 2011: 3285-3288 | |
| 2010 | ||
| j56 | Tao Yu, John H. L. Hansen: Automatic Beamforming for Blind Extraction of Speech From Music Environment Using Variance of Spectral Flux-Inspired Criterion. J. Sel. Topics Signal Processing 4(5): 785-797 (2010) | |
| j55 | John H. L. Hansen, Xianxian Zhang: Analysis of CFA-BF: Novel combined fixed/adaptive beamforming for robust speech recognition in real car environments. Speech Communication 52(2): 134-149 (2010) | |
| j54 | Sanjay A. Patil, John H. L. Hansen: The physiological microphone (PMIC): A competitive alternative for speaker assessment in stress detection and speaker verification. Speech Communication 52(4): 327-340 (2010) | |
| j53 | John H. L. Hansen, Sharmistha S. Gray, Wooil Kim: Automatic voice onset time detection for unvoiced stops (/p/, /t/, /k/) with application to accent classification. Speech Communication 52(10): 777-789 (2010) | |
| j52 | Hynek Boril, John H. L. Hansen: Unsupervised Equalization of Lombard Effect for Speech Recognition in Noisy Adverse Environments. IEEE Transactions on Audio, Speech & Language Processing 18(6): 1379-1393 (2010) | |
| j51 | Murat Akbacak, John H. L. Hansen: Spoken Proper Name Retrieval for Limited Resource Languages Using Multilingual Hybrid Representations. IEEE Transactions on Audio, Speech & Language Processing 18(6): 1486-1495 (2010) | |
| j50 | Wooil Kim, John H. L. Hansen: Missing-Feature Reconstruction by Leveraging Temporal Spectral Correlation for Robust Speech Recognition in Background Noise Conditions. IEEE Transactions on Audio, Speech & Language Processing 18(8): 2111-2120 (2010) | |
| c133 | Tao Yu, John H. L. Hansen: An efficient microphone array based voice activity detector for driver's speech in noise and music rich in-vehicle environments. ICASSP 2010: 2834-2837 | |
| c132 | Taufiq Hasan, Yun Lei, Aravind Chandrasekaran, John H. L. Hansen: A novel feature sub-sampling method for efficient universal background model training in speaker verification. ICASSP 2010: 4494-4497 | |
| c131 | Abhishek Kumar, John H. L. Hansen: A kernel mean matching approach for environment mismatch compensation in speech recognition. ICASSP 2010: 4582-4585 | |
| c130 | Seyed Omid Sadjadi, Sanjay A. Patil, John H. L. Hansen: Towards more intelligible physiological microphone speech: A probabilistic transformation approach. ICASSP 2010: 4730-4733 | |
| c129 | Amit Das, John H. L. Hansen: Broad phoneme class based speech enhancement using mixture maximum model. ICASSP 2010: 4762-4765 | |
| c128 | Abhijeet Sangwan, Mahnoosh Mehrabani, John H. L. Hansen: Automatic language analysis and identification based on speech production knowledge. ICASSP 2010: 5006-5009 | |
| c127 | Xing Fan, John H. L. Hansen: Acoustic analysis for speaker identification of whispered speech. ICASSP 2010: 5046-5049 | |
| c126 | Sulyman Amuda, Hynek Boril, Abhijeet Sangwan, John H. L. Hansen: Limited resource speech recognition for Nigerian English. ICASSP 2010: 5090-5093 | |
| c125 | Sanjay A. Patil, Abhijeet Sangwan, John H. L. Hansen: Speech under physical stress: A production-based framework. ICASSP 2010: 5146-5149 | |
| c124 | Mahnoosh Mehrabani, Hynek Boril, John H. L. Hansen: Dialect distance assessment method based on comparison of pitch pattern statistical models. ICASSP 2010: 5158-5161 | |
| c123 | Wooil Kim, John H. L. Hansen: Angry emotion detection from real-life conversational speech by leveraging content structure. ICASSP 2010: 5166-5169 | |
| c122 | Chi Zhang, John H. L. Hansen: Advancements in whisper-island detection using the linear predictive residual. ICASSP 2010: 5170-5173 | |
| c121 | Keith W. Godin, John H. L. Hansen: Session variability contrasts in the MARP corpus. INTERSPEECH 2010: 298-301 | |
| c120 | Yun Lei, John H. L. Hansen: Speaker recognition using supervised probabilistic principal component analysis. INTERSPEECH 2010: 382-385 | |
| c119 | Gang Liu, Yun Lei, John H. L. Hansen: A novel feature extraction strategy for multi-stream robust emotion identification. INTERSPEECH 2010: 482-485 | |
| c118 | Hynek Boril, Seyed Omid Sadjadi, Tristan Kleinschmidt, John H. L. Hansen: Analysis and detection of cognitive load and frustration in drivers' speech. INTERSPEECH 2010: 502-505 | |
| c117 | Seyed Omid Sadjadi, Sanjay A. Patil, John H. L. Hansen: Quality conversion of non-acoustic signals for facilitating human-to-human speech communication under harsh acoustic conditions. INTERSPEECH 2010: 1624-1627 | |
| c116 | Wooil Kim, Jun-Won Suh, John H. L. Hansen: An effective feature compensation scheme tightly matched with speech recognizer employing SVM-based GMM generation. INTERSPEECH 2010: 2078-2081 | |
| c115 | Seyed Omid Sadjadi, John H. L. Hansen: Assessment of single-channel speech enhancement techniques for speaker identification under mismatched conditions. INTERSPEECH 2010: 2138-2141 | |
| c114 | Hynek Boril, Abhijeet Sangwan, Taufiq Hasan, John H. L. Hansen: Automatic excitement-level detection for sports highlights generation. INTERSPEECH 2010: 2202-2205 | |
| c113 | Tao Yu, John H. L. Hansen: A Bayesian approach to voice activity detection using multiple statistical models and discriminative training. INTERSPEECH 2010: 3114-3117 | |
| c112 | Tao Yu, John H. L. Hansen: The "UTDrive" in-vehicle voice activity detection system. Intelligent Vehicles Symposium 2010: 162-167 | |
| c111 | Amardeep Sathyanarayana, Pinar Boyraz, Zelam Purohit, Rosarita Lubag, John H. L. Hansen: Driver adaptive and context aware active safety systems using CAN-bus signals. Intelligent Vehicles Symposium 2010: 1236-1241 | |
| 2009 | ||
| j49 | Wooil Kim, John H. L. Hansen: Feature compensation in the cepstral domain employing model combination. Speech Communication 51(2): 83-96 (2009) | |
| j48 | Nicolás Morales, Doroteo Torre Toledano, John H. L. Hansen, Javier Garrido: Feature Compensation Techniques for ASR on Band-Limited Speech. IEEE Transactions on Audio, Speech & Language Processing 17(4): 758-774 (2009) | |
| j47 | Wooil Kim, John H. L. Hansen: Time-Frequency Correlation-Based Missing-Feature Reconstruction for Robust Speech Recognition in Band-Restricted Conditions. IEEE Transactions on Audio, Speech & Language Processing 17(7): 1292-1304 (2009) | |
| j46 | Nitish Krishnamurthy, John H. L. Hansen: Babble Noise: Modeling, Analysis, and Applications. IEEE Transactions on Audio, Speech & Language Processing 17(7): 1394-1407 (2009) | |
| c110 | Abhijeet Sangwan, John H. L. Hansen: Leveraging speech production knowledge for improved speech recognition. ASRU 2009: 58-63 | |
| c109 | ||
| c108 | Tao Yu, John H. L. Hansen: A speech presence microphone array beamformer using model based speech presence probability estimation. ICASSP 2009: 213-216 | |
| c107 | Hynek Boril, John H. L. Hansen: Unsupervised equalization of Lombard effect for speech recognition in noisy adverse environment. ICASSP 2009: 3937-3940 | |
| c106 | Yun Lei, John H. L. Hansen: Factor analysis-based information integration for Arabic dialect identification. ICASSP 2009: 4337-4340 | |
| c105 | Xing Fan, John H. L. Hansen: Speaker identification with whispered speech based on modified LFCC parameters and feature mapping. ICASSP 2009: 4553-4556 | |
| c104 | Abhijeet Sangwan, John H. L. Hansen: On the use of phonological features for automatic accent analysis. INTERSPEECH 2009: 172-175 | |
| c103 | Chi Zhang, John H. L. Hansen: Advancements in whisper-island detection within normally phonated audio streams. INTERSPEECH 2009: 860-863 | |
| c102 | Xing Fan, John H. L. Hansen: Speaker identification for whispered speech using modified temporal patterns and MFCCs. INTERSPEECH 2009: 896-899 | |
| c101 | Hynek Boril, John H. L. Hansen: Reduced complexity equalization of lombard effect for speech recognition in noisy adverse environments. INTERSPEECH 2009: 1243-1246 | |
| c100 | Tao Yu, John H. L. Hansen: Robust minimal variance distortionless speech power spectra enhancement using order statistic filter for microphone array. INTERSPEECH 2009: 1363-1366 | |
| c99 | Amit Das, John H. L. Hansen: Speech enhancement minimizing generalized euclidean distortion using supergaussian priors. INTERSPEECH 2009: 1367-1370 | |
| c98 | Wooil Kim, John H. L. Hansen: Robust angry speech detection employing a TEO-based discriminative classifier combination. INTERSPEECH 2009: 2019-2022 | |
| c97 | Yun Lei, John H. L. Hansen: The role of age in factor analysis for speaker identification. INTERSPEECH 2009: 2371-2374 | |
| c96 | Wooil Kim, John H. L. Hansen: Variational model composition for robust speech recognition with time-varying background noise. INTERSPEECH 2009: 2399-2402 | |
| p1 | ||
| 2008 | ||
| j45 | Woon S. Gan, Sen M. Kuo, John H. L. Hansen: Intelligent Audio, Speech, and Music Processing Applications. EURASIP J. Audio, Speech and Music Processing 2008 (2008) | |
| j44 | Umit H. Yapanel, John H. L. Hansen: Towards an Intelligent Acoustic Front End for Automatic Speech Recognition: Built-in Speaker Normalization. EURASIP J. Audio, Speech and Music Processing 2008 (2008) | |
| j43 | Wooil Kim, John H. L. Hansen: Feature Compensation Employing Multiple Environmental Models for Robust In-Vehicle Speech Recognition. IEICE Transactions 91-D(3): 430-438 (2008) | |
| j42 | Umit H. Yapanel, John H. L. Hansen: A new perceptually motivated MVDR-based acoustic front-end (PMVDR) for robust automatic speech recognition. Speech Communication 50(2): 142-152 (2008) | |
| c95 | Rahul Chitturi, John H. L. Hansen: Dialect Classification for Online Podcasts Fusing Acoustic and Language Based Structural and Semantic Information. ACL (Short Papers) 2008: 21-24 | |
| c94 | Matthew R. Leonard, John H. L. Hansen: In-set/out-of-set speaker recognition: leverging the speaker and noise balance. ICASSP 2008: 1585-1588 | |
| c93 | Nitish Krishnamurthy, John H. L. Hansen: Speech babble: Analysis and modeling for speech systems. ICASSP 2008: 4505-4508 | |
| c92 | Amit Das, John H. L. Hansen: Generalized parametric spectral subtraction using weighted Euclidean distortion. INTERSPEECH 2008: 399-402 | |
| c91 | Yun Lei, John H. L. Hansen: Dialect classification via discriminative training. INTERSPEECH 2008: 735-738 | |
| c90 | Mahnoosh Mehrabani, John H. L. Hansen: Dialect separation assessment using log-likelihood score distributions. INTERSPEECH 2008: 747-750 | |
| c89 | Sanjay A. Patil, John H. L. Hansen: Detection of speech under physical stress: model development, sensor selection, and feature fusion. INTERSPEECH 2008: 817-820 | |
| c88 | Nitish Krishnamurthy, Ayako Ikeno, John H. L. Hansen: Babble speech: acoustic and perceptual variability. INTERSPEECH 2008: 1040-1043 | |
| c87 | Abhishek Kumar, John H. L. Hansen: Environment mismatch compensation using average eigenspace for speech recognition. INTERSPEECH 2008: 1277-1280 | |
| c86 | Xing Fan, John H. L. Hansen: Speaker identification for whispered speech based on frequency warping and score competition. INTERSPEECH 2008: 1313-1316 | |
| c85 | Abhijeet Sangwan, Ayako Ikeno, John H. L. Hansen: Evidence of coarticulation in a phonological feature detection system. INTERSPEECH 2008: 1525-1528 | |
| c84 | Keith W. Godin, John H. L. Hansen: Analysis and perception of speech under physical task stress. INTERSPEECH 2008: 1674-1677 | |
| c83 | Jun-Won Suh, Pongtep Angkititrakul, John H. L. Hansen: Filling acoustic holes through leveraged uncorellated GMMs for in-set/out-of-set speaker recognition. INTERSPEECH 2008: 1905-1908 | |
| c82 | Wooil Kim, John H. L. Hansen: Missing-feature method for speaker recognition in band-restricted conditions. INTERSPEECH 2008: 1909-1912 | |
| c81 | Chi Zhang, John H. L. Hansen: An entropy based feature for whisper-island detection within audio streams. INTERSPEECH 2008: 2510-2513 | |
| 2007 | ||
| j41 | Ayako Ikeno, John H. L. Hansen: The Effect of Listener Accent Background on Accent Perception and Comprehension. EURASIP J. Audio, Speech and Music Processing 2007 (2007) | |
| j40 | Rongqing Huang, John H. L. Hansen, Pongtep Angkititrakul: Dialect/Accent Classification Using Unrestricted Audio. IEEE Transactions on Audio, Speech & Language Processing 15(2): 453-464 (2007) | |
| j39 | Murat Akbacak, John H. L. Hansen: Environmental Sniffing: Noise Knowledge Estimation for Robust Speech Systems. IEEE Transactions on Audio, Speech & Language Processing 15(2): 465-477 (2007) | |
| j38 | Pongtep Angkititrakul, John H. L. Hansen: Discriminative In-Set/Out-of-Set Speaker Recognition. IEEE Transactions on Audio, Speech & Language Processing 15(2): 498-508 (2007) | |
| j37 | Vinod Prakash, John H. L. Hansen: In-Set/Out-of-Set Speaker Recognition Under Sparse Enrollment. IEEE Transactions on Audio, Speech & Language Processing 15(7): 2044-2052 (2007) | |
| j36 | Rongqing Huang, John H. L. Hansen: Unsupervised Discriminative Training With Application to Dialect Classification. IEEE Transactions on Audio, Speech & Language Processing 15(8): 2444-2453 (2007) | |
| c80 | Rahul Chitturi, John H. L. Hansen: Multi-stream dialect classification using SVM-GMM hybrid classifiers. ASRU 2007: 431-436 | |
| c79 | Abhijeet Sangwan, John H. L. Hansen: Phonological feature based variable frame rate scheme for improved speech recognition. ASRU 2007: 582-586 | |
| c78 | ||
| c77 | Ayako Ikeno, John H. L. Hansen: Lombard speech impact on perceptual speaker recognition. INTERSPEECH 2007: 414-417 | |
| c76 | Amit Das, John H. L. Hansen: Class constrained ROVER based speech enhancement. INTERSPEECH 2007: 806-809 | |
| c75 | Nitish Krishnamurthy, John H. L. Hansen: Noise tracking for speech systems in adverse environments. INTERSPEECH 2007: 834-837 | |
| c74 | Pongtep Angkititrakul, DongGu Kwak, SangJo Choi, JeongHee Kim, Anh PhucPhan, Amardeep Sathyanarayana, John H. L. Hansen: Getting start with UTDrive: driver-behavior modeling and assessment of distraction for in-vehicle speech systems. INTERSPEECH 2007: 1334-1337 | |
| c73 | Vinod Prakash, John H. L. Hansen: Score distribution scaling for speaker recognition. INTERSPEECH 2007: 2029-2032 | |
| c72 | Chi Zhang, John H. L. Hansen: Analysis and classification of speech mode: whispered through shouted. INTERSPEECH 2007: 2289-2292 | |
| c71 | Wooil Kim, John H. L. Hansen: Advances in speechfind: transcript reliability estimation employing confidence measure based on discriminative sub-word model for SDR. INTERSPEECH 2007: 2409-2412 | |
| c70 | Abhijeet Sangwan, Nitish Krishnamurthy, John H. L. Hansen: Environmentally aware voice activity detector. INTERSPEECH 2007: 2929-2932 | |
| c69 | John H. L. Hansen, Sanjay A. Patil: Speech Under Stress: Analysis, Modeling and Recognition. Speaker Classification (1) 2007: 108-137 | |
| 2006 | ||
| j35 | Pongtep Angkititrakul, John H. L. Hansen: Advances in phone-based modeling for automatic accent classification. IEEE Transactions on Audio, Speech & Language Processing 14(2): 634-646 (2006) | |
| j34 | Rongqing Huang, John H. L. Hansen: Advances in unsupervised audio classification and segmentation for the broadcast news and NGSW corpora. IEEE Transactions on Audio, Speech & Language Processing 14(3): 907-919 (2006) | |
| j33 | John H. L. Hansen, V. Radhakrishnan, Kathryn Hoberg Arehart: Speech Enhancement Based on Generalized Minimum Mean Square Error Estimators and Masking Properties of the Auditory System. IEEE Transactions on Audio, Speech & Language Processing 14(6): 2049-2063 (2006) | |
| c68 | Murat Akbacak, John H. L. Hansen: A robust fusion method for multilingual spoken document retrieval systems employing tiered resources. INTERSPEECH 2006 | |
| c67 | Amit Das, John H. L. Hansen: Decision directed constrained iterative speech enhancement. INTERSPEECH 2006 | |
| c66 | ||
| c65 | Ayako Ikeno, John H. L. Hansen: The role of prosody in the perception of US native English accents. INTERSPEECH 2006 | |
| c64 | Wooil Kim, John H. L. Hansen: Missing-feature reconstruction for band-limited speech recognition in spoken document retrieval. INTERSPEECH 2006 | |
| c63 | Nitish Krishnamurthy, John H. L. Hansen: Noise update modeling for speech enhancement: when do we do enough? INTERSPEECH 2006 | |
| c62 | Vinod Prakash, John H. L. Hansen: A cohort - UBM approach to mitigate data sparseness for in-set/out-of-set speaker recognition. INTERSPEECH 2006 | |
| c61 | Vaishnevi S. Varadarajan, John H. L. Hansen: Analysis of lombard effect under different types and levels of noise with application to in-set speaker ID systems. INTERSPEECH 2006 | |
| 2005 | ||
| j32 | Ajay Natarajan, John H. L. Hansen, Kathryn Hoberg Arehart, Jessica Rossi-Katz: An Auditory-Masking-Threshold-Based Noise Suppression Algorithm GMMSE-AMT[ERB] for Listeners with Sensorineural Hearing Loss. EURASIP J. Adv. Sig. Proc. 2005(18): 2938-2953 (2005) | |
| j31 | Bowen Zhou, John H. L. Hansen: Efficient audio stream segmentation via the combined T2 statistic and Bayesian information criterion. IEEE Transactions on Speech and Audio Processing 13(4): 467-474 (2005) | |
| j30 | Bowen Zhou, John H. L. Hansen: Rapid discriminative acoustic model based on eigenspace mapping for fast speaker adaptation. IEEE Transactions on Speech and Audio Processing 13(4): 554-564 (2005) | |
| j29 | John H. L. Hansen, Rongqing Huang, Bowen Zhou, Michael S. Seadle, J. R. Deller, Aparna Gurijala, Mikko Kurimo, Pongtep Angkititrakul: SpeechFind: Advances in Spoken Document Retrieval for a National Gallery of the Spoken Word. IEEE Transactions on Speech and Audio Processing 13(5-1): 712-730 (2005) | |
| c60 | Xianxian Zhang, John H. L. Hansen, Pongtep Angkititrakul, Kazuya Takeda: Speaker verification using Gaussian mixture models within changing real car environments. INTERSPEECH 2005: 2021-2024 | |
| c59 | Xianxian Zhang, John H. L. Hansen: In-set/out-of-set speaker identification based on discriminative speech frame selection. INTERSPEECH 2005: 2037-2040 | |
| c58 | Rongqing Huang, John H. L. Hansen: Advances in word based dialect/accent classification. INTERSPEECH 2005: 2241-2244 | |
| c57 | Louisa Busca Grisoni, John H. L. Hansen: Collaborative voice activity detection for hearing aids. INTERSPEECH 2005: 2353-2356 | |
| c56 | Nicolás Morales, Doroteo Torre Toledano, John H. L. Hansen, José Colás, Javier Garrido: Statistical class-based MFCC enhancement of filtered and band-limited speech for robust ASR. INTERSPEECH 2005: 2629-2632 | |
| c55 | Evan Ruzanski, John H. L. Hansen, Don Finan, James Meyerhoff, William Norris, Terry Wollert: Improved "TEO" feature-based automatic stress detection using physiological and acoustic speech sensors. INTERSPEECH 2005: 2653-2656 | |
| 2004 | ||
| c54 | Pongtep Angkititrakul, Sepideh Baghaii, John H. L. Hansen: Cluster-dependent modeling and confidence measure processing for in-set/out-of-set speaker identification. INTERSPEECH 2004 | |
| c53 | John H. L. Hansen, Umit H. Yapanel, Rongqing Huang, Ayako Ikeno: Dialect analysis and modeling for automatic classification. INTERSPEECH 2004 | |
| c52 | Rongqing Huang, John H. L. Hansen: High-level feature weighted GMM network for audio stream classification. INTERSPEECH 2004 | |
| c51 | Xianxian Zhang, John H. L. Hansen, Kathryn Hoberg Arehart, Jessica Rossi-Katz: In-vehicle based speech processing for hearing impaired subjects. INTERSPEECH 2004 | |
| c50 | Xianxian Zhang, Kazuya Takeda, John H. L. Hansen, Toshiki Maeno: Audio-visual SPeaker localization for car navigation systems. INTERSPEECH 2004 | |
| 2003 | ||
| j28 | Kathryn Hoberg Arehart, John H. L. Hansen, Stephen Gallant, Laura Kalstein: Evaluation of an auditory masked threshold noise suppression algorithm in normal-hearing and hearing-impaired listeners. Speech Communication 40(4): 575-592 (2003) | |
| j27 | Xianxian Zhang, John H. L. Hansen: CSA-BF: a constrained switched adaptive beamformer for speech enhancement and recognition in real car environments. IEEE Transactions on Speech and Audio Processing 11(6): 733-745 (2003) | |
| c49 | Murat Akbacak, John H. L. Hansen: Environmental sniffing: robust digit recognition for an in-vehicle environment. INTERSPEECH 2003 | |
| c48 | Pongtep Angkititrakul, John H. L. Hansen: Use of trajectory models for automatic accent classification. INTERSPEECH 2003 | |
| c47 | Ajay Natarajan, John H. L. Hansen, Kathryn Hoberg Arehart, Jessica Rossi-Katz: Perceptual based speech enhancement for normal-hearing and hearing-impaired individuals. INTERSPEECH 2003 | |
| c46 | Mandar A. Rahurkar, John H. L. Hansen: Frequency distribution based weighted sub-band approach for classification of emotional/stressful content in speech. INTERSPEECH 2003 | |
| c45 | Umit H. Yapanel, Satya Dharanipragada, John H. L. Hansen: Perceptual MVDR-based cepstral coefficients (PMCCs) for high accuracy speech recognition. INTERSPEECH 2003 | |
| c44 | Umit H. Yapanel, John H. L. Hansen: A new perspective on feature extraction for robust in-vehicle speech recognition. INTERSPEECH 2003 | |
| c43 | Xianxian Zhang, John H. L. Hansen: CFA-BF: a novel combined fixed/adaptive beamforming for robust speech recognition in real car environments. INTERSPEECH 2003 | |
| 2002 | ||
| j26 | David T. Chappell, John H. L. Hansen: A comparison of spectral smoothing methods for segment concatenation based speech synthesis. Speech Communication 36(3-4): 343-373 (2002) | |
| c42 | Sharmistha Sarkar Das, Norman Chan, Danny Wages, John H. L. Hansen: Application of automatic speech recognition in call classification. ICASSP 2002: 3896-3899 | |
| c41 | Bowen Zhou, John H. L. Hansen: Rapid speaker adaptation using multi-stream Structural Maximum Likelihood Eigenspace Mapping. ICASSP 2002: 4166 | |
| c40 | Pongtep Angkititrakul, John H. L. Hansen: Stochastic trajectory model analysis for accent classification. INTERSPEECH 2002 | |
| c39 | Aparna Gurijala, John R. Deller Jr., Michael S. Seadle, John H. L. Hansen: Speech watermarking through parametric modeling. INTERSPEECH 2002 | |
| c38 | Mandar A. Rahurkar, John H. L. Hansen, James Meyerhoff, George Saviolakis, Michael Koenig: Frequency band analysis for stress detection using a teager energy operator based feature. INTERSPEECH 2002 | |
| c37 | Umit H. Yapanel, Xianxian Zhang, John H. L. Hansen: High performance digit recognition in real car environments. INTERSPEECH 2002 | |
| c36 | Bowen Zhou, John H. L. Hansen: Improved structural maximum likelihood eigenspace mapping for rapid speaker adaptation. INTERSPEECH 2002 | |
| c35 | Bowen Zhou, John H. L. Hansen: Speechfind: an experimental on-line spoken document retrieval system for historical audio archives. INTERSPEECH 2002 | |
| e1 | John H. L. Hansen, Bryan L. Pellom (Eds.): 7th International Conference on Spoken Language Processing, ICSLP2002 - INTERSPEECH 2002, Denver, Colorado, USA, September 16-20, 2002. ISCA 2002 | |
| 2001 | ||
| j25 | Guojun Zhou, John H. L. Hansen, James F. Kaiser: Nonlinear feature based classification of speech under stress. IEEE Transactions on Speech and Audio Processing 9(3): 201-216 (2001) | |
| j24 | Jesper Jensen, John H. L. Hansen: Speech enhancement using a constrained iterative sinusoidal model. IEEE Transactions on Speech and Audio Processing 9(7): 731-740 (2001) | |
| c34 | Umit H. Yapanel, John H. L. Hansen, Ruhi Sarikaya, Bryan L. Pellom: Robust digit recognition in noise: an evaluation using the AURORA corpus. INTERSPEECH 2001: 209-212 | |
| c33 | Ruhi Sarikaya, John H. L. Hansen: Analysis of the root-cepstrum for acoustic modeling and fast decoding in speech recognition. INTERSPEECH 2001: 687-690 | |
| c32 | John H. L. Hansen, Ruhi Sarikaya, Umit H. Yapanel, Bryan L. Pellom: Robust speech recognition in noise: an evaluation using the SPINE corpus. INTERSPEECH 2001: 905-908 | |
| c31 | Bowen Zhou, John H. L. Hansen: A novel algorithm for rapid speaker adaptation based on structural maximum likelihood eigenspace mapping. INTERSPEECH 2001: 1215-1218 | |
| c30 | Jay P. Plucienkowski, John H. L. Hansen, Pongtep Angkititrakul: Combined front-end signal processing for in-vehicle speech systems. INTERSPEECH 2001: 1573-1576 | |
| c29 | John H. L. Hansen, Pongtep Angkititrakul, Jay P. Plucienkowski, Stephen Gallant, Umit H. Yapanel, Bryan L. Pellom, Wayne Ward, Ronald A. Cole: "CU-move" : analysis & corpus development for interactive in-vehicle speech systems. INTERSPEECH 2001: 2023-2026 | |
| c28 | John H. L. Hansen, J. R. Deller, Michael S. Seadle: Transcript-free search of audio archives for the national gallery of the spoken word. JCDL 2001: 235-236 | |
| 2000 | ||
| j23 | Sahar E. Bou-Ghazale, John H. L. Hansen: A comparative study of traditional and newly proposed features for recognition of speech under stress. IEEE Transactions on Speech and Audio Processing 8(4): 429-442 (2000) | |
| c27 | Jesper Jensen, John H. L. Hansen: Speech enhancement based on a constrained sinusoidal model. INTERSPEECH 2000: 214-217 | |
| c26 | John H. L. Hansen, Jay P. Plucienkowski, Stephen Gallant, Bryan L. Pellom, Wayne Ward: "CU-move": robust speech processing for in-vehicle speech systems. INTERSPEECH 2000: 524-527 | |
| c25 | Ruhi Sarikaya, John H. L. Hansen: Improved Jacobian adaptation for fast acoustic model adaptation in noisy speech recognition. INTERSPEECH 2000: 702-705 | |
| c24 | Bowen Zhou, John H. L. Hansen: Unsupervised audio stream segmentation and clustering via the Bayesian information criterion. INTERSPEECH 2000: 714-717 | |
| c23 | John H. L. Hansen, Bowen Zhou, Murat Akbacak, Ruhi Sarikaya, Bryan L. Pellom: Audio stream phrase recognition for a national gallery of the spoken word: "one small step". INTERSPEECH 2000: 1089-1092 | |
| 1999 | ||
| j22 | Levent M. Arslan, John H. L. Hansen: Selective training for hidden Markov models with applications to speech classification. IEEE Transactions on Speech and Audio Processing 7(1): 46-54 (1999) | |
| j21 | Brian D. Womack, John H. L. Hansen: N-channel hidden Markov models for combined stressed speech classification and recognition. IEEE Transactions on Speech and Audio Processing 7(6): 668-677 (1999) | |
| c22 | Ruhi Sarikaya, John H. L. Hansen: Auditory masking threshold estimation for broadband noise sources with application to speech enhancement. EUROSPEECH 1999 | |
| 1998 | ||
| j20 | Bryan L. Pellom, John H. L. Hansen: Automatic segmentation of speech recorded in unknown noisy channel characteristics. Speech Communication 25(1-3): 97-116 (1998) | |
| j19 | Sahar E. Bou-Ghazale, John H. L. Hansen: HMM-based stressed speech modeling with application to improved synthesis and recognition of isolated speech under stress. IEEE Transactions on Speech and Audio Processing 6(3): 201-216 (1998) | |
| j18 | Levent M. Arslan, John H. L. Hansen: Likelihood decision boundary estimation between HMM pairs in speech recognition. IEEE Transactions on Speech and Audio Processing 6(4): 410-414 (1998) | |
| j17 | John H. L. Hansen, David T. Chappell: An auditory-based distortion measure with application to concatenative speech synthesis. IEEE Transactions on Speech and Audio Processing 6(5): 489-495 (1998) | |
| j16 | Bryan L. Pellom, John H. L. Hansen: An improved (Auto: I, LSP: T) constrained iterative speech enhancement for colored noise environments. IEEE Transactions on Speech and Audio Processing 6(6): 573-579 (1998) | |
| c21 | Sahar E. Bou-Ghazale, John H. L. Hansen: Speech feature modeling for robust stressed speech recognition. ICSLP 1998 | |
| c20 | David T. Chappell, John H. L. Hansen: Spectral smoothing for concatenative speech synthesis. ICSLP 1998 | |
| c19 | John H. L. Hansen, Bryan L. Pellom: An effective quality evaluation protocol for speech enhancement algorithms. ICSLP 1998 | |
| c18 | Bryan L. Pellom, John H. L. Hansen: A duration-based confidence measure for automatic segmentation of noise corrupted speech. ICSLP 1998 | |
| c17 | Ruhi Sarikaya, John H. L. Hansen: Robust speech activity detection in the presence of noise. ICSLP 1998 | |
| c16 | Guojun Zhou, John H. L. Hansen, James F. Kaiser: Linear and nonlinear speech feature analysis for stress classification. ICSLP 1998 | |
| 1997 | ||
| j15 | John H. L. Hansen, Bryan L. Pellom: Text-directed speech enhancement employing phone class parsing and feature map constrained vector quantization. Speech Communication 21(3): 169-189 (1997) | |
| c15 | Sahar E. Bou-Ghazale, John H. L. Hansen: A novel training approach for improving speech recognition under adverse stressful conditions. EUROSPEECH 1997 | |
| c14 | John H. L. Hansen, Sahar E. Bou-Ghazale: Getting started with SUSAS: a speech under simulated and actual stress database. EUROSPEECH 1997 | |
| 1996 | ||
| j14 | Levent M. Arslan, John H. L. Hansen: Language accent classification in American English. Speech Communication 18(4): 353-367 (1996) | |
| j13 | Sahar E. Bou-Ghazale, John H. L. Hansen: Generating stressed speech from neutral speech using a modified CELP vocoder. Speech Communication 20(1-2): 93-110 (1996) | |
| j12 | Brian D. Womack, John H. L. Hansen: Classification of speech under stress using target driven features. Speech Communication 20(1-2): 131-150 (1996) | |
| j11 | John H. L. Hansen: Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition. Speech Communication 20(1-2): 151-173 (1996) | |
| j10 | John H. L. Hansen, Brian D. Womack: Feature analysis and neural network-based classification of speech under stress. IEEE Transactions on Speech and Audio Processing 4(4): 307-313 (1996) | |
| c13 | Sahar E. Bou-Ghazale, John H. L. Hansen: Synthesis of stressed speech from isolated neutral speech using HMM-based models. ICSLP 1996 | |
| c12 | Douglas A. Cairns, John H. L. Hansen, James F. Kaiser: Recent advances in hypernasal speech detection using the nonlinear teager energy operator. ICSLP 1996 | |
| c11 | Liliana Gavidia-Ceballos, John H. L. Hansen, James F. Kaiser: Vocal fold pathology assessment using AM autocorrelation analysis of the teager energy operator. ICSLP 1996 | |
| c10 | Eric J. Wallen, John H. L. Hansen: A screening test for speech pathology assessment using objective quality measures. ICSLP 1996 | |
| 1995 | ||
| j9 | John H. L. Hansen, Douglas A. Cairns: ICARUS: Source generator based real-time recognition of speech in noisy stressful and Lombard effect environments. Speech Communication 16(4): 391-422 (1995) | |
| j8 | Srinivas Nandkumar, John H. L. Hansen: Dual-channel iterative speech enhancement with constraints on an auditory-based spectrum. IEEE Transactions on Speech and Audio Processing 3(1): 22-34 (1995) | |
| j7 | John H. L. Hansen, Levent M. Arslan: Markov model-based phoneme class partitioning for improved constrained iterative speech enhancement. IEEE Transactions on Speech and Audio Processing 3(1): 98-104 (1995) | |
| j6 | John H. L. Hansen, Levent M. Arslan: Robust feature-estimation and objective quality assessment for noisy speech recognition using the Credit Card corpus. IEEE Transactions on Speech and Audio Processing 3(3): 169-184 (1995) | |
| j5 | John H. L. Hansen, Mark A. Clements: Source generator equalization and enhancement of spectral properties for robust speech recognition in noise and stress. IEEE Transactions on Speech and Audio Processing 3(5): 407-415 (1995) | |
| j4 | John H. L. Hansen, Sahar E. Bou-Ghazale: Robust speech recognition training via duration and spectral-based stress token generation. IEEE Transactions on Speech and Audio Processing 3(5): 415-421 (1995) | |
| c9 | Sahar E. Bou-Ghazah, John H. L. Hansen: Source generator based stressed speech perturbation. EUROSPEECH 1995 | |
| c8 | Brian D. Womack, John H. L. Hansen: Stress independent robust HMM speech recognition using neural network stress classification. EUROSPEECH 1995 | |
| 1994 | ||
| j3 | Tun-Wen Pai, John H. L. Hansen: Boundary-Constrained Morphological Skeleton Minimization and Skeleton Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 16(2): 201-208 (1994) | |
| j2 | John H. L. Hansen: Morphological constrained feature enhancement with adaptive cepstral compensation (MCE-ACC) for speech recognition in noise and Lombard effect. IEEE Transactions on Speech and Audio Processing 2(4): 598-614 (1994) | |
| c7 | Douglas A. Cairns, John H. L. Hansen: Nonlinear speech analysis using the teager energy operator with application to speech classification under stress. ICSLP 1994 | |
| c6 | John H. L. Hansen, Brian D. Womack, Levent M. Arslan: A source generator based production model for environmental robustness in speech recognition. ICSLP 1994 | |
| 1992 | ||
| c5 | Tun-Wen Pai, John H. L. Hansen: Morphological skeletonization for medical image compression. CBMS 1992: 207-214 | |
| c4 | Douglas A. Cairns, John H. L. Hansen: ICARUS: an mwave-based real-time speech recognition system in noise and lombard effect. ICSLP 1992 | |
| c3 | ||
| c2 | Srinivas Nandkumar, John H. L. Hansen, Robert J. Stets: A new dual-channel speech enhancement technique with application to CELP coding in noise. ICSLP 1992 | |
| 1991 | ||
| j1 | John H. L. Hansen, Mark A. Clements: Constrained iterative speech enhancement with application to speech recognition. IEEE Transactions on Signal Processing 39(4): 795-805 (1991) | |
| 1990 | ||
| c1 | John H. L. Hansen, Oscar N. Bria: Lombard effect compensation for robust automatic speech recognition in noise. ICSLP 1990 | |
Colors in the list of coauthors
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