Hybrid acoustic models for distant and multichannel large vocabulary speech recognition

2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings

Volumn , Issue , 2013, Pages 285-290

  Swietojanski, Pawel ^a   Ghoshal, Arnab ^a   Renals, Steve ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Beamforming; Deep Neural Networks; Distant Speech Recognition; Meeting recognition; Microphone Arrays

Indexed keywords

CONVENTIONAL SYSTEMS; DEEP NEURAL NETWORKS; DISTANT SPEECH RECOGNITION; GAUSSIAN MIXTURE MODEL (GMMS); HYBRID ACOUSTIC MODEL; LARGE VOCABULARY SPEECH RECOGNITION; MEETING RECOGNITION; MICROPHONE ARRAYS;

BEAMFORMING; HIDDEN MARKOV MODELS; MICROPHONES; NEURAL NETWORKS;

SPEECH RECOGNITION;

EID: 84893704659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2013.6707744     Document Type: Conference Paper

References (33)

1. M Wölfel and J McDonough, Distant Speech Recognition, Wiley, 2009.
2. J Fiscus, J Ajot, and J Garofolo, "The rich transcription 2007 meeting recognition evaluation, " in Multimodal Technologies for Perception of Humans, R Stiefelhagen, R Bowers, and J Fiscus, Eds., number 4625 in Lecture Notes in Computer Science Volume, pp. 373-389. 2008.
3. T Hain, L Burget, J Dines, PN Garner, F Grezl, AE Hannani, M Huijbregts, M Karafiat, M Lincoln, and VWan, "Transcribing meetings with the AMIDA systems, " IEEE Trans. Audio, Speech, Language Process., vol. 20, no. 2, pp. 486-498, 2012.
4. A Stolcke, X Anguera, K Boakye, O Cetin, A Janin, M Magimai-Doss, C Wooters, and J Zheng, "The SRI-ICSI Spring 2007 meeting and lecture recognition system, " in Multimodal Technologies for Perception of Humans, R Stiefelhagen, R Bowers, and J Fiscus, Eds., number 4625 in Lecture Notes in Computer Science Volume, pp. 373-389. 2008.
5. CH Knapp and GC Carter, "The generalized correlation method for estimation of time delay, " IEEE Trans. Acoust., Speech, Signal Process., vol. 24, no. 4, pp. 320-327, 1976.
6. X Anguera, CWooters, and J Hernando, "Acoustic beamforming for speaker diarization of meetings, " IEEE Trans. Audio, Speech, Language Process., vol. 15, no. 7, pp. 2011-2021, 2007.
7. J Bitzer and KU Simmer, "Superdirective microphone arrays, " in Microphone Arrays, M Brandstein and D Ward, Eds., pp. 19-38. Springer, 2001.
8. K Kumatani, J McDonough, B Rauch, D Klakow, PN Garner, and W Li, "Beamforming with a maximum negentropy criterion, " IEEE Trans. Audio, Speech, Language Process., vol. 17, no. 5, pp. 994-1008, 2009.
9. M Seltzer and R Stern, "Subband likelihood-maximizing beamforming for speech recognition in reverberant environments, " IEEE Trans. Audio, Speech, Language Process., vol. 14, pp. 2109-2121, 2006.
10. T Hori, S Araki, T Yoshioka, M Fujimoto, SWatanabe, T Oba, A Ogawa, K Otsuka, D Mikami, K Kinoshita, T Nakatani, A Nakamura, and J Yamoto, "Low-latency real-time meeting recognition and understanding using distant microphones and omni-directional camera, " IEEE Trans. Audio, Speech, Language Process., vol. 20, no. 2, pp. 499-513, 2012.
11. MWölfel, C Fügen, S Ikbal, and J McDonough, "Multi-source far-distance microphone selection and combination for automatic transcription of lectures, " in Proc ICSLP, 2006.
12. A Stolcke, "Making the most from multiple microphones in meeting recognition, " in Proc IEEE ICASSP, 2011.
13. D Marino and T Hain, "An analysis of automatic speech recognition with multiple microphones, " in INTERSPEECH, 2011, pp. 1281-1284.
14. S Renals, H Bourlard, J Carleta, and A Popescu-Belis, Multimodal Signal Processing, Cambridge University Press, 2012.
15. Y Bengio, A Courville, and P Vincent, "Representation learning: A review and new perspectives, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 8, pp. 1798-1828, 2013.
16. G Hinton, L Deng, D Yu, GE Dahl, A-R Mohamed, N Jaitly, A Senior, V Vanhoucke, P Nguyen, TN Sainath, and B Kingsbury, "Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups, " IEEE Signal Process. Mag., vol. 29, no. 6, pp. 82-97, 2012.
17. F Seide, G Li, X Chen, and D Yu, "Feature engineering in context-dependent deep neural networks for conversational speech transcription, " in Proc. IEEE ASRU, 2011.
18. K Kumatani, J McDonough, and B Raj, "Microphone array processing for distant speech recognition: From close-talking microphones to far-field sensors, " Signal Processing Magazine, IEEE, vol. 29, no. 6, pp. 127-140, 2012.
19. H Bourlard and N Morgan, Connectionist Speech Recognition-A Hybrid Approach, Kluwer Academic, 1994.
20. S Renals, N Morgan, H Bourlard, M Cohen, and H Franco, "Connectionist probability estimators in HMM speech recognition, " IEEE Trans. Speech Audio Process., vol. 2, no. 1, pp. 161-174, 1994.
21. G Hinton, S Osindero, and Y Teh, "A fast learning algorithm for deep belief nets, " Neural Computation, vol. 18, pp. 1527- 1554, 2006. (Pubitemid 44024729)
22. F Grézl, M Karafiát, S Kontár, and J Černocký, "Probabilistic and bottle-neck features for LVCSR of meetings, " in Proc. ICASSP, 2007, vol. 4, pp. IV-757-IV-760. (Pubitemid 47178482)
23. JG Fiscus, J Ajot, N Radde, and C Laprun, "Multiple dimension Levenshtein edit distance calculations for evaluating automatic speech recognition systems during simultaneous speech, " in Proc. LREC, 2006.
24. MJF Gales, "Semi-tied covariance matrices for hidden Markov models, " IEEE Trans. Speech, Audio Process., vol. 7, no. 3, pp. 272-281, 1999.
25. A Adami, L Burget, S Dupontb, H Garudadric, F Grezl, H Hermansky, P Jain, S Kajarekar, N Morgan, and S Sivadas, "Qualcomm-ICSI-OGI features for ASR, " in In Proc. ICSLP, 2002, pp. 21-24.
26. D Povey, D Kanevsky, B Kingsbury, B Ramabhadran, G Saon, and K Visweswariah, "Boosted MMI for model and featurespace discriminative training, " in Proc. IEEE ICASSP, 2008, pp. 4057-4060.
27. D Povey, A Ghoshal, G Boulianne, L Burget, O Glembek, N Goel, M Hannemann, P Motlíček, Y Qian, P Schwarz, J Silovský, G Stemmer, and K Veselý, "The Kaldi speech recognition toolkit, " in Proc. IEEE ASRU, 2011.
28. J Bergstra, O Breuleux, F Bastien, P Lamblin, R Pascanu, G Desjardins, J Turian, D Warde-Farley, and Y Bengio, "Theano: A CPU and GPU math expression compiler, " in Proc. SciPy, 2010.
29. GE Dahl, D Yu, L Deng, and A Acero, "Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition, " IEEE Trans. Audio, Speech, Language Process., vol. 20, no. 1, pp. 30-42, 2012.
30. P Swietojanski, A Ghoshal, and S Renals, "Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR, " in Proc. IEEE Workshop on Spoken Language Technology, Miami, Florida, USA, Dec. 2012.
31. K Veselý, A Ghoshal, L Burget, and D Povey, " Sequencediscriminative training of deep neural networks, " in Proc. INTERSPEECH, 2013.
32. M Seltzer, D Yu, and Y Wang, "An investigation of deep neural networks for noise robust speech recognition, " in In Proc. ICASSP, 2013.
33. A Ghoshal, P Swietojanski, and S Renals, "Multilingual training of deep neural networks, " in Proc. IEEE ICASSP, 2013, pp. 7319-7323.