SLT 2012: Miami, FL, USA

• Teruhisa Misu, Hideki Kashioka:
  Simultaneous feature selection and parameter optimization for training of dialog policy by reinforcement learning. 1-6
  
• Filip Jurcícek:
  Reinforcement learning for spoken dialogue systems using off-policy natural gradient method. 7-12
  
• Zhuoran Wang, Oliver Lemon:
  A nonparametric Bayesian approach to learning multimodal interaction management. 1-6
  
• Sajad Shirali-Shahreza, Gerald Penn:
  Realistic answer verification: An analysis of user errors in a sentence-repetition task. 19-24
  
• Svetlana Stoyanchev, Philipp Salletmayr, Jingbo Yang, Julia Hirschberg:
  Localized detection of speech recognition errors. 25-30
  
• Milica Gasic, Matthew Henderson, Blaise Thomson, Pirros Tsiakoulis, Steve Young:
  Policy optimisation of POMDP-based dialogue systems without state space compression. 31-36
  
• Blaise Thomson, Milica Gasic, Matthew Henderson, Pirros Tsiakoulis, Steve Young:
  N-best error simulation for training spoken dialogue systems. 37-42
  
• Manolis Perakakis, Alexandros Potamianos:
  Affective evaluation of a mobile multimodal dialogue system using brain signals. 43-48
  
• Fabrizio Morbini, Kartik Audhkhasi, Ron Artstein, Maarten Van Segbroeck, Kenji Sagae, Panayiotis S. Georgiou, David R. Traum, Shrikanth S. Narayanan:
  A reranking approach for recognition and classification of speech input in conversational dialogue systems. 49-54
  
• Jason D. Williams:
  A critical analysis of two statistical spoken dialog systems in public use. 55-60
  
• Sungjin Lee, Maxine Eskenazi:
  POMDP-based Let's Go system for spoken dialog challenge. 61-66
  
• Gina-Anne Levow, Siwei Wang:
  Employing boosting to compare cues to verbal feedback in multi-lingual dialog. 67-72
  
• William Yang Wang, Dan Bohus, Ece Kamar, Eric Horvitz:
  Crowdsourcing the acquisition of natural language corpora: Methods and observations. 73-78
  
• Kornel Laskowski:
  Exploiting loudness dynamics in stochastic models of turn-taking. 79-84
  
• Felix Stahlberg, Tim Schlippe, Stephan Vogel, Tanja Schultz:
  Word segmentation through cross-lingual word-to-phoneme alignment. 85-90
  
• Arseniy Gorin, Denis Jouvet:
  Class-based speech recognition using a maximum dissimilarity criterion and a tolerance classification margin. 91-96
  
• Nicolas Obin, Marco Liuni:
  On the generalization of Shannon entropy for speech recognition. 97-102
  
• Shuji Komeiji, Takayuki Arakawa, Takafumi Koshinaka:
  A noise-robust speech recognition method composed of weak noise suppression and weak Vector Taylor Series Adaptation. 103-106
  
• Fabian Triefenbach, Kris Demuynck, Jean-Pierre Martens:
  Improving large vocabulary continuous speech recognition by combining GMM-based and reservoir-based acoustic modeling. 107-112
  
• Atsunori Ogawa, Takaaki Hori, Atsushi Nakamura:
  Recognition rate estimation based on word alignment network and discriminative error type classification. 113-118
  
• Taehwan Kim, Karen Livescu, Gregory Shakhnarovich:
  American sign language fingerspelling recognition with phonological feature-based tandem models. 119-124
  
• Satoshi Kobashikawa, Takaaki Hori, Yoshikazu Yamaguchi, Taichi Asami, Hirokazu Masataki, Satoshi Takahashi:
  Efficient prior and incremental beam width control to suppress excessive speech recognition time based on score range estimation. 125-130
  
• Jinyu Li, Dong Yu, Jui-Ting Huang, Yifan Gong:
  Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM. 131-136
  
• Cong-Thanh Do, Mohammad J. Taghizadeh, Philip N. Garner:
  Combining cepstral normalization and cochlear implant-like speech processing for microphone array-based speech recognition. 137-142
  
• Gang Li, Huifeng Zhu, Gong Cheng, Kit Thambiratnam, Behrooz Chitsaz, Dong Yu, Frank Seide:
  Context-dependent Deep Neural Networks for audio indexing of real-life data. 143-148
  
• Yosuke Kashiwagi, Masayuki Suzuki, Nobuaki Minematsu, Keikichi Hirose:
  Audio-visual feature integration based on piecewise linear transformation for noise robust automatic speech recognition. 149-152
  
• Gopala Krishna Anumanchipalli, Luís C. Oliveira, Alan W. Black:
  Intent transfer in speech-to-speech machine translation. 153-158
  
• Alex Marin, Tom Kwiatkowski, Mari Ostendorf, Luke S. Zettlemoyer:
  Using syntactic and confusion network structure for out-of-vocabulary word detection. 159-164
  
• Md. Akmal Haidar, Douglas D. O'Shaughnessy:
  Topic n-gram count language model adaptation for speech recognition. 165-169
  
• Naoyuki Kanda, Ryu Takeda, Yasunari Obuchi:
  Using rhythmic features for Japanese spoken term detection. 170-175
  
• Matthew Henderson, Milica Gasic, Blaise Thomson, Pirros Tsiakoulis, Kai Yu, Steve Young:
  Discriminative spoken language understanding using word confusion networks. 176-181
  
• Hung-yi Lee, Tsung-Hsien Wen, Lin-Shan Lee:
  Improved semantic retrieval of spoken content by language models enhanced with acoustic similarity graph. 182-187
  
• Tsung-Hsien Wen, Hung-yi Lee, Tai-Yuan Chen, Lin-Shan Lee:
  Personalized language modeling by crowd sourcing with social network data for voice access of cloud applications. 188-193
  
• Fernando García, Lluís F. Hurtado, Encarna Segarra, Emilio Sanchis, Giuseppe Riccardi:
  Combining multiple translation systems for Spoken Language Understanding portability. 194-198
  
• Ali Orkan Bayer, Giuseppe Riccardi:
  Joint language models for automatic speech recognition and understanding. 199-203
  
• Teppei Ohno, Tomoyosi Akiba:
  Incorporating syllable duration into line-detection-based spoken term detection. 204-209
  
• Li Deng, Gökhan Tür, Xiaodong He, Dilek Z. Hakkani-Tür:
  Use of kernel deep convex networks and end-to-end learning for spoken language understanding. 210-215
  
• Asli Çelikyilmaz, Dilek Z. Hakkani-Tür, Gökhan Tür:
  Statistical semantic interpretation modeling for spoken language understanding with enriched semantic features. 216-221
  
• Timothy J. Hazen, Fred Richardson:
  Modeling multiword phrases with constrained phrase trees for improved topic modeling of conversational speech. 222-227
  
• Larry P. Heck, Dilek Hakkani-Tür:
  Exploiting the Semantic Web for unsupervised spoken language understanding. 228-233
  
• Tomas Mikolov, Geoffrey Zweig:
  Context dependent recurrent neural network language model. 234-239
  
• Florian Hinterleitner, Christoph Norrenbrock, Sebastian Möller, Ulrich Heute:
  What makes this voice sound so bad? A multidimensional analysis of state-of-the-art text-to-speech systems. 240-245
  
• Pawel Swietojanski, Arnab Ghoshal, Steve Renals:
  Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR. 246-251
  
• Maria Astrinaki, Nicolas D'Alessandro, Benjamin Picart, Thomas Drugman, Thierry Dutoit:
  Reactive and continuous control of HMM-based speech synthesis. 252-257
  
• Oliver Jokisch, Yitagessu Birhanu, Rüdiger Hoffmann:
  Syllable-based prosodic analysis of Amharic read speech. 252-257
  
• David Imseng, Hervé Bourlard, Holger Caesar, Philip N. Garner, Gwénolé Lecorve, Alexandre Nanchen:
  MediaParl: Bilingual mixed language accented speech database. 263-268
  
• Jianbo Jiang, Zhiyong Wu, Mingxing Xu, Jia Jia, Lianhong Cai:
  Comparison of adaptation methods for GMM-SVM based speech emotion recognition. 269-273
  
• Mireia Díez, Amparo Varona, Mikel Peñagarikano, Luis Javier Rodríguez-Fuentes, Germán Bordel:
  On the use of phone log-likelihood ratios as features in spoken language recognition. 274-279
  
• Marc Ferras, Herve Boudard:
  Speaker diarization and linking of large corpora. 280-285
  
• Adriana Stan, Peter Bell, Simon King:
  A grapheme-based method for automatic alignment of speech and text data. 286-290
  
• Benjamin Picart, Thomas Drugman, Thierry Dutoit:
  Statistical methods for varying the degree of articulation in new HMM-based voices. 291-296
  
• Éva Székely, Tamás Gábor Csapó, Bálint Tóth, Péter Mihajlik, Julie Carson-Berndsen:
  Synthesizing expressive speech from amateur audiobook recordings. 297-302
  
• Kyu J. Han, Jason W. Pelecanos:
  Frame-based phonotactic Language Identification. 303-306
  
• Sriram Ganapathy, Mohamed Kamal Omar, Jason Kamal Pelecanos:
  Noisy channel adaptation in language identification. 307-312
  
• Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
  Exemplar-based voice conversion in noisy environment. 313-317
  
• L. Paola García-Perera, Juan Arturo Nolazco-Flores, Bhiksha Raj, Richard M. Stern:
  Optimization of the DET curve in speaker verification. 318-323
  
• P. J. Bell, M. J. F. Gales, P. Lanchantin, Xunying Liu, Y. Long, S. Renals, P. Swietojanski, Philip C. Woodland:
  Transcription of multi-genre media archives using out-of-domain data. 324-329
  
• Mohamed Bouallegue, Emmanuel Ferreira, Driss Matrouf, Georges Linares, Maria Goudi, Pascal Nocera:
  Acoustic modeling for under-resourced languages based on vectorial HMM-states representation using Subspace Gaussian Mixture Models. 330-335
  
• Karel Veselý, Martin Karafiát, Frantisek Grézl, Milos Janda, Ekaterina Egorova:
  The language-independent bottleneck features. 336-341
  
• Stefan Ziegler, Bogdan Ludusan, Guillaume Gravier:
  Towards a new speech event detection approach for landmark-based speech recognition. 342-347
  
• João Miranda, João Paulo Neto, Alan W. Black:
  Recovery of acronyms, out-of-lattice words and pronunciations from parallel multilingual speech. 348-353
  
• Daniel Bolanos:
  The Bavieca open-source speech recognition toolkit. 354-359
  
• Udhyakumar Nallasamy, Florian Metze, Tanja Schultz:
  Active learning for accent adaptation in Automatic Speech Recognition. 360-365
  
• Kaisheng Yao, Dong Yu, Frank Seide, Hang Su, Li Deng, Yifan Gong:
  Adaptation of context-dependent deep neural networks for automatic speech recognition. 366-369
  
• Leonardo Badino, Claudia Canevari, Luciano Fadiga, Giorgio Metta:
  Deep-level acoustic-to-articulatory mapping for DBN-HMM based phone recognition. 370-375
  
• Andrew Rosenberg:
  Modeling intensity contours and the interaction of pitch and intensity to improve automatic prosodic event detection and classification. 376-381
  
• Ann Lee, James R. Glass:
  A comparison-based approach to mispronunciation detection. 382-387
  
• Mostafa Ali Shahin, Beena Ahmed, Kirrie J. Ballard:
  Automatic classification of unequal lexical stress patterns using machine learning algorithms. 388-391
  
• K. Riedhammer, M. Gropp, E. Noth:
  The FAU Video Lecture Browser system. 392-397
  
• Ghada AlHarbi, Thomas Hain:
  Automatic transcription of academic lectures from diverse disciplines. 398-403
  
• Heather Friedberg, Diane J. Litman, Susannah B. F. Paletz:
  Lexical entrainment and success in student engineering groups. 404-409
  
• Sandrine Brognaux, Thomas Drugman, Richard Beaufort:
  Automatic detection and correction of syntax-based prosody annotation errors. 410-415
  
• Sandrine Brognaux, Sophie Roekhaut, Thomas Drugman, Richard Beaufort:
  Train&align: A new online tool for automatic phonetic alignment. 416-421
  
• Luiza Orosanu, Denis Jouvet, Dominique Fohr, Irina Illina, Anne Bonneau:
  Combining criteria for the detection of incorrect entries of non-native speech in the context of foreign language learning. 422-427
  
• Yi Luan, Masayuki Suzuki, Yutaka Yamauchi, Nobuaki Minematsu, Shuhei Kato, Keikichi Hirose:
  Performance improvement of automatic pronunciation assessment in a noisy classroom. 428-431
  
• Sechun Kang, Gary Geunbae Lee, Ho-Young Lee, Byeongchang Kim:
  An automatic pitch accent feedback system for english learners with adaptation of an english corpus spoken by Koreans. 432-437
  
• Meysam Asgari, Izhak Shafran, Alireza Bayestehtashk:
  Robust detection of voiced segments in samples of everyday conversations using unsupervised HMMS. 438-442
  
• Kyusong Lee, Soo-Ok Kweon, Hongsuck Seo, Gary Geunbae Lee:
  Generating grammar questions using corpus data in L2 learning. 443-448
  
• Ian Kaplan, Andrew Rosenberg:
  Analysis of speech transcripts to predict winners of U.S. Presidential and Vice-Presidential debates. 449-454
  
• N. Yang, R. Muraleedharan, J. Kohl, Ilker Demirkol, Wendi Rabiner Heinzelman, Melissa Sturge-Apple:
  Speech-based emotion classification using multiclass SVM with hybrid kernel and thresholding fusion. 455-460
  
• Yun-Nung Chen, Florian Metze:
  Two-layer mutually reinforced random walk for improved multi-party meeting summarization. 461-466
  
• Anthony McCallum, Gerald Penn, Cosmin Munteanu, Xiaodan Zhu:
  Ecological validity and the evaluation of speech summarization quality. 467-472
  
• Tongmu Zhao, Akemi Hoshino, Masayuki Suzuki, Nobuaki Minematsu, Keikichi Hirose:
  Automatic Chinese pronunciation error detection using SVM trained with structural features. 473-478
  
• Deana Pennell, Yang Liu:
  Evaluating the effect of normalizing informal text on TTS output. 479-483
  

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