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Semantic ScholarSteve Renals
Stephen Renals
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- affiliation: University of Edinburgh, Scotland, UK
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2010 – today
- 2018
[c163]Ahmed Ali, Steve Renals:
Word Error Rate Estimation for Speech Recognition: e-WER. ACL (2) 2018: 20-24- [c162]Ben Krause, Emmanuel Kahembwe, Iain Murray, Steve Renals:
Dynamic Evaluation of Neural Sequence Models. ICML 2018: 2771-2780 - [c161]Joanna Rownicka, Peter Bell, Steve Renals:
Analyzing Deep CNN-Based Utterance Embeddings for Acoustic Model Adaptation. SLT 2018: 235-241 - [i19]Joanna Rownicka, Peter Bell, Steve Renals:
Analyzing deep CNN-based utterance embeddings for acoustic model adaptation. CoRR abs/1811.04708 (2018) - 2017
- [j42]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. J. Sel. Topics Signal Processing 11(8): 1254-1264 (2017) - [j41]Peter Bell, Pawel Swietojanski, Steve Renals:
Multitask Learning of Context-Dependent Targets in Deep Neural Network Acoustic Models. IEEE/ACM Trans. Audio, Speech & Language Processing 25(2): 238-247 (2017) - [j40]Liang Lu, Steve Renals:
Small-Footprint Highway Deep Neural Networks for Speech Recognition. IEEE/ACM Trans. Audio, Speech & Language Processing 25(7): 1502-1511 (2017) - [c160]Ahmed Ali, Preslav Nakov, Peter Bell, Steve Renals:
WERD: Using social text spelling variants for evaluating dialectal speech recognition. ASRU 2017: 141-148 - [c159]Joanna Rownicka, Steve Renals, Peter Bell:
Simplifying very deep convolutional neural network architectures for robust speech recognition. ASRU 2017: 236-243 - [c158]Ahmed Ali, Stephan Vogel, Steve Renals:
Speech recognition challenge in the wild: Arabic MGB-3. ASRU 2017: 316-322 - [c157]Emiru Tsunoo, Ondrej Klejch, Peter Bell, Steve Renals:
Hierarchical recurrent neural network for story segmentation using fusion of lexical and acoustic features. ASRU 2017: 525-532 - [c156]Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell:
The SUMMA Platform Prototype. EACL (Software Demonstrations) 2017: 116-119 - [c155]Liang Lu, Michelle Guo, Steve Renals:
Knowledge distillation for small-footprint highway networks. ICASSP 2017: 4820-4824 - [c154]Ondrej Klejch, Peter Bell, Steve Renals:
Sequence-to-sequence models for punctuated transcription combining lexical and acoustic features. ICASSP 2017: 5700-5704 - [c153]Joachim Fainberg, Steve Renals, Peter Bell:
Factorised Representations for Neural Network Adaptation to Diverse Acoustic Environments. INTERSPEECH 2017: 749-753 - [c152]Emiru Tsunoo, Peter Bell, Steve Renals:
Hierarchical Recurrent Neural Network for Story Segmentation. INTERSPEECH 2017: 2919-2923 - [p1]Steve Renals, Pawel Swietojanski:
Distant Speech Recognition Experiments Using the AMI Corpus. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 355-368 - [i18]Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals:
End-to-End Neural Segmental Models for Speech Recognition. CoRR abs/1708.00531 (2017) - [i17]Ahmed M. Ali, Stephan Vogel, Steve Renals:
Speech Recognition Challenge in the Wild: Arabic MGB-3. CoRR abs/1709.07276 (2017) - [i16]Ben Krause, Emmanuel Kahembwe, Iain Murray, Steve Renals:
Dynamic Evaluation of Neural Sequence Models. CoRR abs/1709.07432 (2017) - [i15]Ahmed M. Ali, Preslav Nakov, Peter Bell, Steve Renals:
WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition. CoRR abs/1709.07484 (2017) - 2016
- [j39]Pawel Swietojanski, Jinyu Li, Steve Renals:
Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation. IEEE/ACM Trans. Audio, Speech & Language Processing 24(8): 1450-1463 (2016) - [j38]Pawel Swietojanski, Steve Renals:
Differentiable Pooling for Unsupervised Acoustic Model Adaptation. IEEE/ACM Trans. Audio, Speech & Language Processing 24(10): 1773-1784 (2016) - [c151]Pawel Swietojanski, Steve Renals:
SAT-LHUC: Speaker adaptive training for learning hidden unit contributions. ICASSP 2016: 5010-5014 - [c150]Liang Lu, Xingxing Zhang, Steve Renals:
On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition. ICASSP 2016: 5060-5064 - [c149]Liang Lu, Steve Renals:
Small-Footprint Deep Neural Networks with Highway Connections for Speech Recognition. INTERSPEECH 2016: 12-16 - [c148]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals:
Segmental Recurrent Neural Networks for End-to-End Speech Recognition. INTERSPEECH 2016: 385-389 - [c147]Joachim Fainberg, Peter Bell, Mike Lincoln, Steve Renals:
Improving Children's Speech Recognition Through Out-of-Domain Data Augmentation. INTERSPEECH 2016: 1598-1602 - [c146]Siva Reddy Gangireddy, Pawel Swietojanski, Peter Bell, Steve Renals:
Unsupervised Adaptation of Recurrent Neural Network Language Models. INTERSPEECH 2016: 2333-2337 - [c145]Ahmed M. Ali, Najim Dehak, Patrick Cardinal, Sameer Khurana, Sree Harsha Yella, James R. Glass, Peter Bell, Steve Renals:
Automatic Dialect Detection in Arabic Broadcast Speech. INTERSPEECH 2016: 2934-2938 - [c144]Guntis Barzdins, Steve Renals, Didzis Gosko:
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project. LREC 2016 - [c143]Ahmed M. Ali, Peter Bell, James R. Glass, Yacine Messaoui, Hamdy Mubarak, Steve Renals, Yifan Zhang:
The MGB-2 challenge: Arabic multi-dialect broadcast media recognition. SLT 2016: 279-284 - [c142]Ondrej Klejch, Peter Bell, Steve Renals:
Punctuated transcription of multi-genre broadcasts using acoustic and lexical approaches. SLT 2016: 433-440 - [i14]Pawel Swietojanski, Jinyu Li, Steve Renals:
Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation. CoRR abs/1601.02828 (2016) - [i13]Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals:
Segmental Recurrent Neural Networks for End-to-end Speech Recognition. CoRR abs/1603.00223 (2016) - [i12]Pawel Swietojanski, Steve Renals:
Differentiable Pooling for Unsupervised Acoustic Model Adaptation. CoRR abs/1603.09630 (2016) - [i11]Guntis Barzdins, Steve Renals, Didzis Gosko:
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project. CoRR abs/1604.01221 (2016) - [i10]Liang Lu, Michelle Guo, Steve Renals:
Knowledge Distillation for Small-footprint Highway Networks. CoRR abs/1608.00892 (2016) - [i9]Ahmed M. Ali, Peter Bell, James R. Glass, Yacine Messaoui, Hamdy Mubarak, Steve Renals, Yifan Zhang:
The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition. CoRR abs/1609.05625 (2016) - [i8]Sameer Khurana, Ahmed M. Ali, Steve Renals:
Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech. CoRR abs/1609.05650 (2016) - [i7]Ben Krause, Liang Lu, Iain Murray, Steve Renals:
Multiplicative LSTM for sequence modelling. CoRR abs/1609.07959 (2016) - [i6]Liang Lu, Steve Renals:
Small-footprint Highway Deep Neural Networks for Speech Recognition. CoRR abs/1610.05812 (2016) - 2015
- [j37]Alessandro Vinciarelli, Anna Esposito, Elisabeth André, Francesca Bonin, Mohamed Chetouani, Jeffrey F. Cohn, Marco Cristani, Ferdinand Fuhrmann, Emer Gilmartin, Zakia Hammal, Dirk Heylen, Rene Kaiser, Maria Koutsombogera, Alexandros Potamianos, Steve Renals, Giuseppe Riccardi, Albert Ali Salah:
Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human-Human and Human-Machine Interactions. Cognitive Computation 7(4): 397-413 (2015) - [c141]Ahmed M. Ali, Walid Magdy, Peter Bell, Steve Renals:
Multi-reference WER for evaluating ASR for languages with no orthographic rules. ASRU 2015: 576-580 - [c140]Peter Bell, Steve Renals:
A system for automatic alignment of broadcast media captions using weighted finite-state transducers. ASRU 2015: 675-680 - [c139]Peter Bell, Mark J. F. Gales, Thomas Hain, Jonathan Kilgour, Pierre Lanchantin, Xunying Liu, Andrew McParland, Steve Renals, Oscar Saz, Mirjam Wester, Philip C. Woodland:
The MGB challenge: Evaluating multi-genre broadcast media recognition. ASRU 2015: 687-693 - [c138]Peter Bell, Steve Renals:
Regularization of context-dependent deep neural networks with context-independent multi-task training. ICASSP 2015: 4290-4294 - [c137]Pawel Swietojanski, Steve Renals:
Differentiable pooling for unsupervised speaker adaptation. ICASSP 2015: 4305-4309 - [c136]Benigno Uria, Iain Murray, Steve Renals, Cassia Valentini-Botinhao, John Bridle:
Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE. ICASSP 2015: 4465-4469 - [c135]Liang Lu, Steve Renals:
Multi-frame factorisation for long-span acoustic modelling. ICASSP 2015: 4595-4599 - [c134]Zhizheng Wu, Pawel Swietojanski, Christophe Veaux, Steve Renals, Simon King:
A study of speaker adaptation for DNN-based speech synthesis. INTERSPEECH 2015: 879-883 - [c133]Siva Reddy Gangireddy, Steve Renals, Yoshihiko Nankaku, Akinobu Lee:
Prosodically-enhanced recurrent neural network language models. INTERSPEECH 2015: 2390-2394 - [c132]Liang Lu, Steve Renals:
Feature-space speaker adaptation for probabilistic linear discriminant analysis acoustic models. INTERSPEECH 2015: 2862-2866 - [c131]Liang Lu, Xingxing Zhang, Kyunghyun Cho, Steve Renals:
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition. INTERSPEECH 2015: 3249-3253 - [c130]Pawel Swietojanski, Peter Bell, Steve Renals:
Structured output layer with auxiliary targets for context-dependent acoustic modelling. INTERSPEECH 2015: 3605-3609 - [c129]Peter Bell, Steve Renals:
Complementary tasks for context-dependent deep neural network acoustic models. INTERSPEECH 2015: 3610-3614 - [c128]Ahmed M. Ali, Walid Magdy, Steve Renals:
Multi-Reference Evaluation for Dialectal Speech Recognition System: A Study for Egyptian ASR. ANLP@ACL 2015: 118-126 - [i5]Ahmed M. Ali, Peter Bell, Steve Renals:
Automatic Dialect Detection in Arabic Broadcast Speech. CoRR abs/1509.06928 (2015) - [i4]Liang Lu, Steve Renals:
Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition. CoRR abs/1512.04280 (2015) - 2014
- [j36]João P. Cabral, Korin Richmond, Junichi Yamagishi, Steve Renals:
Glottal Spectral Separation for Speech Synthesis. J. Sel. Topics Signal Processing 8(2): 195-208 (2014) - [j35]Liang Lu, Steve Renals:
Probabilistic Linear Discriminant Analysis for Acoustic Modeling. IEEE Signal Process. Lett. 21(6): 702-706 (2014) - [j34]Pawel Swietojanski, Arnab Ghoshal, Steve Renals:
Convolutional Neural Networks for Distant Speech Recognition. IEEE Signal Process. Lett. 21(9): 1120-1124 (2014) - [j33]Li Deng, Steve Renals, Marcello Federico, Mari Ostendorf:
Editorial: Expanding the Technical Reach of our Transactions. IEEE/ACM Trans. Audio, Speech & Language Processing 22(1): 5 (2014) - [j32]Liang Lu, Arnab Ghoshal, Steve Renals:
Cross-Lingual Subspace Gaussian Mixture Models for Low-Resource Speech Recognition. IEEE/ACM Trans. Audio, Speech & Language Processing 22(1): 17-27 (2014) - [c127]Steve Renals, Pawel Swietojanski:
Neural networks for distant speech recognition. HSCMA 2014: 172-176 - [c126]Oliver Watts, Siva Reddy Gangireddy, Junichi Yamagishi, Simon King, Steve Renals, Adriana Stan, Mircea Giurgiu:
Neural net word representations for phrase-break prediction without a part of speech tagger. ICASSP 2014: 2599-2603 - [c125]Steve Renals, Jean Carletta, Keith Edwards, Hervé Bourlard, Philip N. Garner, Andrei Popescu-Belis, Dietrich Klakow, Andrey Girenko, Volha Petukhova, Philippe Wacker, Andrew Joscelyne, Costis Kompis, Simon Aliwell, William Stevens, Youssef Sabbah:
ROCKIT: Roadmap for Conversational Interaction Technologies. RFMIR@ICMI 2014: 39-42 - [c124]Peter Bell, Joris Driesen, Steve Renals:
Cross-lingual adaptation with multi-task adaptive networks. INTERSPEECH 2014: 21-25 - [c123]Liang Lu, Steve Renals:
Probabilistic linear discriminant analysis with bottleneck features for speech recognition. INTERSPEECH 2014: 910-914 - [c122]Catherine Lai, Steve Renals:
Incorporating lexical and prosodic information at different levels for meeting summarization. INTERSPEECH 2014: 1875-1879 - [c121]Joris Driesen, Alexandra Birch, Simon Grimsey, Saeid Safarfashandi, Juliet Gauthier, Matt Simpson, Steve Renals:
Automated production of true-cased punctuated subtitles for weather and news broadcasts. INTERSPEECH 2014: 2146-2147 - [c120]Siva Reddy Gangireddy, Fergus McInnes, Steve Renals:
Feed forward pre-training for recurrent neural network language models. INTERSPEECH 2014: 2620-2624 - [c119]Pawel Swietojanski, Steve Renals:
Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models. SLT 2014: 171-176 - [i3]Liang Lu, Steve Renals:
Tied Probabilistic Linear Discriminant Analysis for Speech Recognition. CoRR abs/1411.0895 (2014) - 2013
- [j31]Christian Geng, Alice Turk, James M. Scobbie, Cedric Macmartin, Philip Hoole, Korin Richmond, Alan Wrench, Marianne Pouplier, Ellen Gurman Bard, Ziggy Campbell, Catherine Dickie, Eddie Dubourg, William J. Hardcastle, Evia Kainada, Simon King, Robin J. Lickley, Satsuki Nakai, Steve Renals, Kevin White, Ronny Wiegand:
Recording speech articulation in dialogue: Evaluating a synchronized double electromagnetic articulography setup. J. Phonetics 41(6): 421-431 (2013) - [j30]Liang Lu, K. K. Chin, Arnab Ghoshal, Stephen Renals:
Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models. IEEE Trans. Audio, Speech & Language Processing 21(9): 1791-1804 (2013) - [j29]
- [c118]Pawel Swietojanski, Arnab Ghoshal, Steve Renals:
Hybrid acoustic models for distant and multichannel large vocabulary speech recognition. ASRU 2013: 285-290 - [c117]Liang Lu, Arnab Ghoshal, Steve Renals:
Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition. ASRU 2013: 374-379 - [c116]Joris Driesen, Steve Renals:
Lightly supervised automatic subtitling of weather forecasts. ASRU 2013: 452-457 - [c115]Pawel Swietojanski, Arnab Ghoshal, Steve Renals:
Revisiting hybrid and GMM-HMM system combination techniques. ICASSP 2013: 6744-6748 - [c114]Peter Bell, Pawel Swietojanski, Steve Renals:
Multi-level adaptive networks in tandem and hybrid ASR systems. ICASSP 2013: 6975-6979 - [c113]Erich Zwyssig, Friedrich Faubel, Steve Renals, Mike Lincoln:
Recognition of overlapping speech using digital MEMS microphone arrays. ICASSP 2013: 7068-7072 - [c112]Arnab Ghoshal, Pawel Swietojanski, Steve Renals:
Multilingual training of deep neural networks. ICASSP 2013: 7319-7323 - [c111]Hervé Bourlard, Marc Ferras, Nikolaos Pappas, Andrei Popescu-Belis, Steve Renals, Fergus McInnes, Peter Bell, Sandy Ingram, Maël Guillemot:
Processing and Linking Audio Events in Large Multimedia Archives: The EU inEvent Project. SLAM@INTERSPEECH 2013: 3-8 - [c110]Pierre Lanchantin, Peter Bell, Mark J. F. Gales, Thomas Hain, Xunying Liu, Yanhua Long, Jennifer Quinnell, Steve Renals, Oscar Saz, Matthew Stephen Seigel, Pawel Swietojanski, Philip C. Woodland:
Automatic Transcription of Multi-genre Media Archives. SLAM@INTERSPEECH 2013: 26-31 - [c109]Catherine Lai, Jean Carletta, Steve Renals:
Detecting summarization hot spots in meetings using group level involvement and turn-taking features. INTERSPEECH 2013: 2723-2727 - [c108]Peter Bell, Hitoshi Yamamoto, Pawel Swietojanski, Youzheng Wu, Fergus McInnes, Chiori Hori, Steve Renals:
A lecture transcription system combining neural network acoustic and language models. INTERSPEECH 2013: 3087-3091 - [c107]Liang Lu, Arnab Ghoshal, Steve Renals:
Noise adaptive training for subspace Gaussian mixture models. INTERSPEECH 2013: 3492-3496 - 2012
- [j28]Martha Larson, Franciska de Jong, Wessel Kraaij, Steve Renals:
Special issue on searching speech. ACM Trans. Inf. Syst. 30(3): 15:1-15:2 (2012) - [c106]Erich Zwyssig, Steve Renals, Mike Lincoln:
On the effect of snr and superdirective beamforming in speaker diarisation in meetings. ICASSP 2012: 4177-4180 - [c105]Erich Zwyssig, Steve Renals, Mike Lincoln:
Determining the number of speakers in a meeting using microphone array features. ICASSP 2012: 4765-4768 - [c104]Liang Lu, Arnab Ghoshal, Steve Renals:
Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition. ICASSP 2012: 4877-4880 - [c103]Liang Lu, Arnab Ghoshal, Steve Renals:
Joint uncertainty decoding with unscented transform for noise robust subspace Gaussian mixture models. SAPA@INTERSPEECH 2012: 40-45 - [c102]Korin Richmond, Steve Renals:
Ultrax: An Animated Midsagittal Vocal Tract Display for Speech Therapy. INTERSPEECH 2012: 74-77 - [c101]Liang Lu, K. K. Chin, Arnab Ghoshal, Steve Renals:
Noise Compensation for Subspace Gaussian Mixture Models. INTERSPEECH 2012: 306-309 - [c100]Benigno Uria, Iain Murray, Steve Renals, Korin Richmond:
Deep Architectures for Articulatory Inversion. INTERSPEECH 2012: 867-870 - [c99]Eva Hasler, Peter Bell, Arnab Ghoshal, Barry Haddow, Philipp Koehn, Fergus McInnes, Steve Renals, Pawel Swietojanski:
The UEDIN systems for the IWSLT 2012 evaluation. IWSLT 2012: 46-53 - [c98]Pawel Swietojanski, Arnab Ghoshal, Steve Renals:
Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR. SLT 2012: 246-251 - [c97]Peter Bell, M. J. F. Gales, Pierre Lanchantin, Xunying Liu, Yanhua Long, Steve Renals, Pawel Swietojanski, Philip C. Woodland:
Transcription of multi-genre media archives using out-of-domain data. SLT 2012: 324-329 - 2011
- [j27]Liang Lu, Arnab Ghoshal, Steve Renals:
Regularized Subspace Gaussian Mixture Models for Speech Recognition. IEEE Signal Process. Lett. 18(7): 419-422 (2011) - [c96]Liang Lu, Arnab Ghoshal, Steve Renals:
Regularized subspace Gaussian mixture models for cross-lingual speech recognition. ASRU 2011: 365-370 - [c95]João P. Cabral, Steve Renals, Junichi Yamagishi, Korin Richmond:
HMM-based speech synthesiser using the LF-model of the glottal source. ICASSP 2011: 4704-4707 - 2010
- [j26]Heriberto Cuayáhuitl, Steve Renals, Oliver Lemon, Hiroshi Shimodaira:
Evaluation of a hierarchical reinforcement learning spoken dialogue system. Computer Speech & Language 24(2): 395-429 (2010) - [j25]Ravichander Vipperla, Steve Renals, Joe Frankel:
Ageing Voices: The Effect of Changes in Voice Parameters on ASR Performance. EURASIP J. Audio, Speech and Music Processing 2010 (2010) - [j24]Songfang Huang, Steve Renals:
Hierarchical Bayesian Language Models for Conversational Speech Recognition. IEEE Trans. Audio, Speech & Language Processing 18(8): 1941-1954 (2010) - [c94]Erich Zwyssig, Mike Lincoln, Steve Renals:
A digital microphone array for distant speech recognition. ICASSP 2010: 5106-5109 - [c93]Songfang Huang, Steve Renals:
Power law discounting for n-gram language models. ICASSP 2010: 5178-5181 - [c92]Jonathan Kilgour, Jean Carletta, Steve Renals:
The Ambient Spotlight: personal multimodal search without query. ICMI-MLMI 2010: 12:1-12:2 - [c91]Ravichander Vipperla, Steve Renals, Joe Frankel:
Augmentation of adaptation data. INTERSPEECH 2010: 530-533 - [c90]
- [c89]Maria K. Wolters, Karl Isaac, Steve Renals:
Evaluating speech synthesis intelligibility using Amazon Mechanical Turk. SSW 2010: 136-141 - [c88]João P. Cabral, Steve Renals, Korin Richmond, Junichi Yamagishi:
An HMM-based speech synthesiser using glottal post-filtering. SSW 2010: 365-370
2000 – 2009
- 2009
- [j23]Yasser Hifny, Steve Renals:
Speech Recognition Using Augmented Conditional Random Fields. IEEE Trans. Audio, Speech & Language Processing 17(2): 354-365 (2009) - [j22]Junichi Yamagishi, Takashi Nose, Heiga Zen, Zhen-Hua Ling, Tomoki Toda, Keiichi Tokuda, Simon King, Steve Renals:
Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis. IEEE Trans. Audio, Speech & Language Processing 17(6): 1208-1230 (2009) - [j21]Gabriel Murray, Thomas Kleinbauer, Peter Poller, Tilman Becker, Steve Renals, Jonathan Kilgour:
Extrinsic summarization evaluation: A decision audit task. TSLP 6(2): 2:1-2:29 (2009) - [c87]Ravichander Vipperla, Maria Klara Wolters, Kallirroi Georgila, Steve Renals:
Speech Input from Older Users in Smart Environments: Challenges and Perspectives. HCI (6) 2009: 117-126 - [c86]Maria Klara Wolters, Ravichander Vipperla, Steve Renals:
Age recognition for spoken dialogue systems: do we need it? INTERSPEECH 2009: 1435-1438 - [c85]Songfang Huang, Steve Renals:
A parallel training algorithm for hierarchical pitman-yor process language models. INTERSPEECH 2009: 2695-2698 - 2008
- [j20]Le Zhang, Stephen Renals:
Acoustic-Articulatory Modeling With the Trajectory HMM. IEEE Signal Process. Lett. 15: 245-248 (2008) - [j19]Heidi Christensen, Yoshihiko Gotoh, Steve Renals:
A Cascaded Broadcast News Highlighter. IEEE Trans. Audio, Speech & Language Processing 16(1): 151-161 (2008) - [j18]Giulia Garau, Steve Renals:
Combining Spectral Representations for Large-Vocabulary Continuous Speech Recognition. IEEE Trans. Audio, Speech & Language Processing 16(3): 508-518 (2008) - [j17]Alfred Dielmann, Steve Renals:
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN. IEEE Trans. Audio, Speech & Language Processing 16(7): 1303-1314 (2008) - [c84]Songfang Huang, Steve Renals:
Unsupervised language model adaptation based on topic and role information in multiparty meetings. INTERSPEECH 2008: 833-836 - [c83]João P. Cabral, Steve Renals, Korin Richmond, Junichi Yamagishi:
Glottal spectral separation for parametric speech synthesis. INTERSPEECH 2008: 1829-1832 - [c82]Chao Qin, Miguel Á. Carreira-Perpiñán, Korin Richmond, Alan Wrench, Steve Renals:
Predicting tongue shapes from a few landmark locations. INTERSPEECH 2008: 2306-2309 - [c81]