ASRU 2009: Merano/Meran, Italy

• Sadaoki Furui:
  Generalization problem in ASR acoustic model training and adaptation. 1-10
  
• Daniel Jurafsky:
  It's not you, it's me: Automatically extracting social meaning from speed dates. 11
  
• Dekai Wu:
  Toward machine translation with statistics and syntax and semantics. 12-21
  
• Gerasimos Potamianos:
  Audio-visual automatic speech recognition and related bimodal speech technologies: A review of the state-of-the-art and open problems. 22
  
• Holger Schwenk:
  Trends and challenges in language modeling for speech recognition and machine translation. 23
  
• Jont B. Allen, Feipeng Li:
  Manipulation of consonants in natural speech. 24
  
• Jason D. Williams:
  Spoken dialogue systems: Challenges, and opportunities for research. 25
  
• Lin-Shan Lee, Yi-Cheng Pan:
  Voice-based information retrieval - how far are we from the text-based information retrieval ? 26-43
  
• Mark J. F. Gales:
  Acoustic modelling for speech recognition: Hidden Markov models and beyond? 44
  
• Nicolò Cesa-Bianchi:
  Online discriminative learning: theory and applications. 45
  
• Tatsuya Kawahara:
  New perspectives on spoken language understanding: Does machine need to fully understand speech? 46-50
  
• Tanja Schultz:
  Rapid language adaptation tools for multilingual speech processing. 51
  
• Simon Wiesler, Markus Nußbaum-Thom, Georg Heigold, Ralf Schlüter, Hermann Ney:
  Investigations on features for log-linear acoustic models in continuous speech recognition. 52-57
  
• Abhijeet Sangwan, John H. L. Hansen:
  Leveraging speech production knowledge for improved speech recognition. 58-63
  
• Etienne Marcheret, Vaibhava Goel, Peder A. Olsen:
  Optimal quantization and bit allocation for compressing large discriminative feature space transforms. 64-69
  
• Barbara Schuppler, Joost van Doremalen, Odette Scharenborg, Bert Cranen, Lou Boves:
  Using temporal information for improving articulatory-acoustic feature classification. 70-75
  
• Muhammad Ali Tahir, Georg Heigold, Christian Plahl, Ralf Schlüter, Hermann Ney:
  Generalized likelihood ratio discriminant analysis. 76-81
  
• Karen Livescu, Mark Stoehr:
  Multi-view learning of acoustic features for speaker recognition. 82-86
  
• Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul:
  Large-margin feature adaptation for automatic speech recognition. 87-92
  
• Upendra V. Chaudhari, Michael Picheny:
  Articulatory feature detection with Support Vector Machines for integration into ASR and phone recognition. 93-98
  
• Spiros Dimopoulos, Eric Fosler-Lussier, Chin-Hui Lee, Alexandros Potamianos:
  Transition features for CRF-based speech recognition and boundary detection. 99-102
  
• Pirros Tsiakoulis, Alexandros Potamianos, Dimitrios Dimitriadis:
  Short-time instantaneous frequency and bandwidth features for speech recognition. 103-106
  
• Yun-Hsuan Sung, Daniel Jurafsky:
  Hidden Conditional Random Fields for phone recognition. 107-112
  
• Peter Bell, Simon King:
  Diagonal priors for full covariance speech recognition. 113-117
  
• Yu Qiao, Masayuki Suzuki, Nobuaki Minematsu:
  A study on Hidden Structural Model and its application to labeling sequences. 118-123
  
• Daniel Vásquez, Guillermo Aradilla, Rainer Gruhn, Wolfgang Minker:
  A hierarchical structure for modeling inter and intra phonetic information for phoneme recognition. 124-129
  
• Keith Vertanen, Per Ola Kristensson:
  Automatic selection of recognition errors by respeaking the intended text. 130-135
  
• Xiaodong Cui, Jian Xue, Bowen Zhou:
  Improving online incremental speaker adaptation with eigen feature space MLLR. 136-140
  
• Jui-Ting Huang, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang:
  Kernel metric learning for phonetic classification. 141-145
  
• Kshitij Gupta, John D. Owens:
  Three-layer optimizations for fast GMM computations on GPU-like parallel processors. 146-151
  
• Geoffrey Zweig, Patrick Nguyen:
  A segmental CRF approach to large vocabulary continuous speech recognition. 152-157
  
• Hung-Shin Lee, Berlin Chen:
  Generalized likelihood ratio discriminant analysis. 158-163
  
• Sriram Ganapathy, Samuel Thomas, Hynek Hermansky:
  Temporal envelope subtraction for robust speech recognition using modulation spectrum. 164-169
  
• Federico Flego, Mark J. F. Gales:
  Discriminative adaptive training with VTS and JUD. 170-175
  
• Steven J. Rennie, John R. Hershey, Peder A. Olsen:
  Hierarchical variational loopy belief propagation for multi-talker speech recognition. 176-181
  
• Philip N. Garner:
  SNR features for automatic speech recognition. 182-187
  
• Chanwoo Kim, Richard M. Stern:
  Power function-based power distribution normalization algorithm for robust speech recognition. 188-193
  
• Wooil Kim, John H. L. Hansen:
  Mask estimation employing Posterior-based Representative Mean for missing-feature speech recognition with time-varying background noise. 194-198
  
• Kaustubh Kalgaonkar, Michael L. Seltzer, Alex Acero:
  Noise robust model adaptation using linear spline interpolation. 199-204
  
• Mark J. F. Gales, Anton Ragni, H. AlDamarki, C. Gautier:
  Support vector machines for noise robust ASR. 205-210
  
• Florian Müller, Eugene Belilovsky, Alfred Mertins:
  Generalized cyclic transformations in speaker-independent speech recognition. 211-215
  
• Yoo Rhee Oh, Hong Kook Kim:
  MLLR/MAP adaptation using pronunciation variation for non-native speech recognition. 216-221
  
• Haitian Xu, Mark J. F. Gales, K. K. Chin:
  Improving joint uncertainty decoding performance by predictive methods for noise robust speech recognition. 222-227
  
• Jing Huang, Karthik Visweswariah:
  Improved decision trees for multi-stream HMM-based audio-visual continuous speech recognition. 228-231
  
• Takayuki Arakawa, Haitham Al-Hassanieh, Masanori Tsujikawa, Ryosuke Isotani:
  Extended Minimum Classification Error Training in Voice Activity Detection. 232-236
  
• Hadi Veisi, Hossein Sameti:
  An improved parallel model combination method for noisy speech recognition. 237-242
  
• Chanwoo Kim, Kshitiz Kumar, Richard M. Stern:
  Robust speech recognition using a Small Power Boosting algorithm. 243-248
  
• Negar Ghourchian, Sid-Ahmed Selouani, Douglas D. O'Shaughnessy:
  Robust distributed speech recognition using two-stage Filtered Minima Controlled Recursive Averaging. 249-254
  
• Xiong Xiao, Jinyu Li, Engsiong Chng, Haizhou Li, Chin-Hui Lee:
  A study on hidden Markov model's generalization capability for speech recognition. 255-260
  
• Wen-Hsiang Tu, Sheng-Yuan Huang, Jeih-Weih Hung:
  Sub-band modulation spectrum compensation for robust speech recognition. 261-265
  
• Md. Jahangir Alam, Sid-Ahmed Selouani, Douglas D. O'Shaughnessy:
  An improved perceptual speech enhancement technique employing a psychoacoustically motivated weighting factor. 266-270
  
• Yu Tsao, Shigeki Matsuda, Satoshi Nakamura, Chin-Hui Lee:
  MAP estimation of online mapping parameters in ensemble speaker and speaking environment modeling. 271-275
  
• Hagen Soltau, George Saon:
  Dynamic network decoding revisited. 276-281
  
• Anoop Deoras, Frederick Jelinek:
  Iterative decoding: A novel re-scoring framework for confusion networks. 282-286
  
• Tara N. Sainath:
  Island-driven search using broad phonetic classes. 287-292
  
• Emilian Stoimenov, Tanja Schultz:
  A multiplatform speech recognition decoder based on weighted finite-state transducers. 293-298
  
• Stanley F. Chen, Lidia Mangu, Bhuvana Ramabhadran, Ruhi Sarikaya, Abhinav Sethy:
  Scaling shrinkage-based language models. 299-304
  
• Vladimir Magdin, Hui Jiang:
  Discriminative training of n-gram language models for speech recognition via linear programming. 305-310
  
• Ariya Rastrow, Abhinav Sethy, Bhuvana Ramabhadran:
  Constrained discriminative training of N-gram language models. 311-316
  
• Puyang Xu, Damianos Karakos, Sanjeev Khudanpur:
  Self-supervised discriminative training of statistical language models. 317-322
  
• Nigel G. Ward, Alejandro Vega:
  Towards the use of inferred cognitive states in language modeling. 323-326
  
• Hong-Kwang Jeff Kuo, Lidia Mangu, Ahmad Emami, Imed Zitouni, Young-Suk Lee:
  Syntactic features for Arabic speech recognition. 327-332
  
• Ngoc Thang Vu, Tanja Schultz:
  Vietnamese large vocabulary continuous speech recognition. 333-338
  
• Kris Demuynck, Antti Puurula, Dirk Van Compernolle, Patrick Wambacq:
  The ESAT 2008 system for N-Best Dutch speech recognition benchmark. 339-344
  
• Daniel Vásquez, Guillermo Aradilla, Rainer Gruhn, Wolfgang Minker:
  On speeding phoneme recognition in a hierarchical MLP structure. 345-348
  
• Martin Wöllmer, Florian Eyben, Björn Schuller, Gerhard Rigoll:
  Robust vocabulary independent keyword spotting with graphical models. 349-353
  
• Hasim Sak, Murat Saraclar, Tunga Güngör:
  Integrating morphology into automatic speech recognition. 354-358
  
• Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny:
  An exploration of large vocabulary tools for small vocabulary phonetic recognition. 359-364
  
• Joel Pinto, Mathew Magimai-Doss, Hervé Bourlard:
  MLP based hierarchical system for task adaptation in ASR. 365-370
  
• Frederik Stouten, Dominique Fohr, Irina Illina:
  Detection of OOV words by combining acoustic confidence measures with linguistic features. 371-375
  
• Florian Eyben, Martin Wöllmer, Björn Schuller, Alex Graves:
  From speech to letters - using a novel neural network architecture for grapheme based ASR. 376-380
  
• Hui Lin, Jeff A. Bilmes, Shasha Xie:
  Graph-based submodular selection for extractive summarization. 381-386
  
• Shasha Xie, Dilek Hakkani-Tür, Benoît Favre, Yang Liu:
  Integrating prosodic features in extractive meeting summarization. 387-391
  
• Justin Jian Zhang, Ricky Ho Yin Chan, Pascale Fung:
  Extractive speech summarization by active learning. 392-397
  
• Yaodong Zhang, James R. Glass:
  Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams. 398-403
  
• Carolina Parada, Abhinav Sethy, Bhuvana Ramabhadran:
  Query-by-example Spoken Term Detection For OOV terms. 404-409
  
• Hung-yi Lee, Yueh-Lien Tang, Hao Tang, Lin-Shan Lee:
  Spoken term detection from bilingual spontaneous speech using code-switched lattice-based structures for words and subword units. 410-415
  
• Upendra V. Chaudhari, Michael Picheny:
  Improved vocabulary independent search with approximate match based on Conditional Random Fields. 416-420
  
• Timothy J. Hazen, Wade Shen, Christopher M. White:
  Query-by-example spoken term detection using phonetic posteriorgram templates. 421-426
  
• Doris Baum:
  Topic-based speaker recognition for German parliamentary speeches. 427-431
  
• David Imseng, Gerald Friedland:
  Robust Speaker Diarization for short speech recordings. 432-437
  
• Silvia Quarteroni, Marco Dinarelli, Giuseppe Riccardi:
  Ontology-based grounding of Spoken Language Understanding. 438-443
  
• Pierre Gotab, Frédéric Béchet, Géraldine Damnati:
  Active learning for rule-based and corpus-based Spoken Language Understanding models. 444-449
  
• Peter A. Heeman:
  Representing the Reinforcement Learning state in a negotiation dialogue. 450-455
  
• Milica Gasic, Fabrice Lefèvre, Filip Jurcícek, Simon Keizer, François Mairesse, Blaise Thomson, Kai Yu, Steve Young:
  Back-off action selection in summary space-based POMDP dialogue systems. 456-461
  
• Ryota Nishimura, Seiichi Nakagawa:
  Response timing generation and response type selection for a spontaneous spoken dialog system. 462-467
  
• Michael Levit, Shuangyu Chang, Bruce Buntschuh:
  Garbage modeling with decoys for a sequential recognition scenario. 468-473
  
• Cheongjae Lee, Sungjin Lee, Sangkeun Jung, Kyungduk Kim, Donghyeon Lee, Gary Geunbae Lee:
  Correlation-based query relaxation for example-based dialog modeling. 474-478
  
• Sebastian Varges, Giuseppe Riccardi, Silvia Quarteroni, Alexei V. Ivanov:
  The exploration/exploitation trade-off in Reinforcement Learning for dialogue management. 479-484
  
• Kofi Boakye, Benoît Favre, Dilek Hakkani-Tür:
  Any questions? Automatic question detection in meetings. 485-489
  
• Chiori Hori, Kiyonori Ohtake, Teruhisa Misu, Hideki Kashioka, Satoshi Nakamura:
  Weighted finite state transducer based statistical dialog management. 490-495
  
• Matthias Paulik, Alex Waibel:
  Automatic translation from parallel speech: Simultaneous interpretation as MT training data. 496-501
  
• Jia Cui, Yonggang Deng, Bowen Zhou:
  Reinforcing language model for speech translation with auxiliary data. 502-506
  
• Sakriani Sakti, Noriyuki Kimura, Michael Paul, Chiori Hori, Eiichiro Sumita, Satoshi Nakamura, Jun Park, Chai Wutiwiwatchai, Bo Xu, Hammam Riza, Karunesh Arora, Chi Mai Luong, Haizhou Li:
  The Asian network-based speech-to-speech translation system. 507-512
  
• Bing Xiang, Bowen Zhou, Martin Cmejrek:
  Towards integrated machine translation using structural alignment from syntax-augmented synchronous parsing. 513-518
  
• Daniele Falavigna, Matteo Gerosa, Roberto Gretter, Diego Giuliani:
  Phone-to-word decoding through statistical machine translation and complementary system combination. 519-524
  
• Hassan Al-Haj, Roger Hsiao, Ian R. Lane, Alan W. Black, Alex Waibel:
  Pronunciation modeling for dialectal arabic speech recognition. 525-528
  
• Qin Jin, Arthur R. Toth, Tanja Schultz, Alan W. Black:
  Speaker de-identification via voice transformation. 529-533
  
• Michael Feld, Etienne Barnard, Charl Johannes van Heerden, Christian A. Müller:
  Multilingual speaker age recognition: Regression analyses on the Lwazi corpus. 534-539
  
• Fernando Batista, Isabel Trancoso, Nuno J. Mamede:
  Comparing automatic rich transcription for Portuguese, Spanish and English Broadcast News. 540-545
  
• Khe Chai Sim:
  Discriminative Product-of-Expert acoustic mapping for cross-lingual phone recognition. 546-551
  
• Björn Schuller, Bogdan Vlasenko, Florian Eyben, Gerhard Rigoll, Andreas Wendemuth:
  Acoustic emotion recognition: A benchmark comparison of performances. 552-557
  
• Richard Dufour, Yannick Estève, Paul Deléglise, Frédéric Béchet:
  Local and global models for spontaneous speech segment detection and characterization. 558-561
  
• Timo Mertens, Daniel Schneider, Arild Brandrud Næss, Torbjørn Svendsen:
  Lexicon adaptation for subword speech recognition. 562-567
  
• Kartik Audhkhasi, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
  Lattice-based lexical cues for word fragment detection in conversational speech. 568-573
  
• Masayuki Suzuki, Nobuaki Minematsu, Dean Luo, Keikichi Hirose:
  Sub-structure-based estimation of pronunciation proficiency and classification of learners. 574-579
  
• Joost van Doremalen, Catia Cucchiarini, Helmer Strik:
  Automatic detection of vowel pronunciation errors using multiple information sources. 580-585
  
• Wenzhu Shen, Roger Peng Yu, Frank Seide, Ji Wu:
  Automatic punctuation generation for speech. 586-589
  

Last update Sat May 25 02:00:07 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page