-
1
-
-
84055211743
-
Acoustic modeling using deep belief networks
-
A. Mohamed, G.E. Dahl, and G. Hinton, "Acoustic modeling using deep belief networks," IEEE Trans. on ASLP, vol. 20, no. 1, pp. 14-22, 2012
-
(2012)
IEEE Trans. on ASLP
, vol.20
, Issue.1
, pp. 14-22
-
-
Mohamed, A.1
Dahl, G.E.2
Hinton, G.3
-
2
-
-
84865801985
-
Conversational speech transcription using context-dependent deep neural networks
-
F. Seide, G. Li, and D. Yu, "Conversational speech transcription using context-dependent deep neural networks," Proc. of Interspeech, 2011
-
(2011)
Proc. of Interspeech
-
-
Seide, F.1
Li, G.2
Yu, D.3
-
3
-
-
84910065702
-
Acoustic modeling with deep neural networks using raw time signal for LVCSR
-
Z. Tuske, P., Golik, R., Schluter, and H. Ney, "Acoustic modeling with deep neural networks using raw time signal for LVCSR," Proc. of Interspeech, 2014
-
(2014)
Proc. of Interspeech
-
-
Tuske, Z.1
Golik, P.2
Schluter, R.3
Ney, H.4
-
4
-
-
85075436378
-
Deep neural network language models
-
E. Arisoy, T.N. Sainath, B. Kingsbury, and B. Ramabhadran, "Deep neural network language models," Proc. of NAACL-HLT Workshop, 2012
-
(2012)
Proc. of NAACL-HLT Workshop
-
-
Arisoy, E.1
Sainath, T.N.2
Kingsbury, B.3
Ramabhadran, B.4
-
5
-
-
84890492030
-
An investigation of deep neural networks for noise robust speech recognition
-
M. Seltzer, D. Yu, and Y. Wang, "An investigation of deep neural networks for noise robust speech recognition", Proc of ICASSP, 2013
-
(2013)
Proc of ICASSP
-
-
Seltzer, M.1
Yu, D.2
Wang, Y.3
-
6
-
-
84910075252
-
Evaluating robust features on deep neural networks for speech recognition in noisy and channel mismatched conditions
-
V. Mitra, W. Wang, H. Franco, Y. Lei, C. Bartels, and M. Graciarena, "Evaluating robust features on deep neural networks for speech recognition in noisy and channel mismatched conditions," in Proc. of Interspeech, 2014
-
(2014)
Proc. of Interspeech
-
-
Mitra, V.1
Wang, W.2
Franco, H.3
Lei, Y.4
Bartels, C.5
Graciarena, M.6
-
7
-
-
84928158249
-
Robust features and system fusion for reverberation-robust speech recognition
-
V. Mitra, W. Wang, Y. Lei, A. Kathol, G. Sivaraman, and C. Espy-Wilson, "Robust features and system fusion for reverberation-robust speech recognition," in Proc. of REVERB Challenge, 2014
-
(2014)
Proc. of REVERB Challenge
-
-
Mitra, V.1
Wang, W.2
Lei, Y.3
Kathol, A.4
Sivaraman, G.5
Espy-Wilson, C.6
-
8
-
-
84959111702
-
Combating reverberation in large vocabulary continuous speech recognition
-
V. Mitra, J. Van Hout, M. McLaren, W. Wang, M. Graciarena, D. Vergyri, and H. Franco, "Combating reverberation in large vocabulary continuous speech recognition," Proc. of Interspeech, 2015
-
(2015)
Proc. of Interspeech
-
-
Mitra, V.1
Van Hout, J.2
McLaren, M.3
Wang, W.4
Graciarena, M.5
Vergyri, D.6
Franco, H.7
-
9
-
-
84946693063
-
Deep convolutional nets and robust features for reverberation-robust speech recognition
-
V. Mitra, W. Wang, and H. Franco, "deep convolutional nets and robust features for reverberation-robust speech recognition," in Proc. of SLT, pp. 548-553, 2014
-
(2014)
Proc. of SLT
, pp. 548-553
-
-
Mitra, V.1
Wang, W.2
Franco, H.3
-
10
-
-
84890525984
-
Deep convolutional neural network for LVCSR
-
T. Sainath, A. Mohamed, B. Kingsbury, and B. Ramabhadran, "Deep convolutional neural network for LVCSR," Proc. of ICASSP, 2013
-
(2013)
Proc. of ICASSP
-
-
Sainath, T.1
Mohamed, A.2
Kingsbury, B.3
Ramabhadran, B.4
-
11
-
-
84867605836
-
Applying convolutional neural networks concepts to hybrid NNHMM model for speech recognition
-
O. Abdel-Hamid, A. Mohamed, H. Jiang, and G. Penn, "Applying convolutional neural networks concepts to hybrid NNHMM model for speech recognition," Proc. of ICASSP, pp. 4277-4280, 2012
-
(2012)
Proc. of ICASSP
, pp. 4277-4280
-
-
Abdel-Hamid, O.1
Mohamed, A.2
Jiang, H.3
Penn, G.4
-
12
-
-
84858953286
-
Vocal tract length normalization for LVCSR
-
Carnegie Mellon University
-
P. Zhan and A Waibel, "Vocal tract length normalization for LVCSR," in Tech. Rep. CMU-LTI-97-150. Carnegie Mellon University, 1997
-
(1997)
Tech. Rep. CMU-LTI-97-150
-
-
Zhan, P.1
Waibel, A.2
-
13
-
-
84863380535
-
Unsupervised feature learning for audio classification using convolutional deep belief networks
-
H. Lee, P. Pham, Y. Largman, and A. Ng, "Unsupervised feature learning for audio classification using convolutional deep belief networks," Proc. of Adv. Neural Inf. Process. Syst. 22, pp. 1096-1104, 2009
-
(2009)
Proc. of Adv. Neural Inf. Process. Syst
, vol.22
, pp. 1096-1104
-
-
Lee, H.1
Pham, P.2
Largman, Y.3
Ng, A.4
-
14
-
-
85007207023
-
Exploring hierarchical speech representations using a deep convolutional neural network
-
D. Hau and K. Chen, "Exploring hierarchical speech representations using a deep convolutional neural network," Proc. of 11th UK Workshop Comput. Intell. (UKCI '11), 2011
-
(2011)
Proc. of 11th UK Workshop Comput. Intell. (UKCI '11)
-
-
Hau, D.1
Chen, K.2
-
15
-
-
0024634603
-
Phoneme recognition using time-delay neural networks
-
A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. Lang, "Phoneme recognition using time-delay neural networks," IEEE Trans. Acoust., Speech, Signal Process., 38(3), pp. 328-339, 1989
-
(1989)
IEEE Trans. Acoust., Speech, Signal Process
, vol.38
, Issue.3
, pp. 328-339
-
-
Waibel, A.1
Hanazawa, T.2
Hinton, G.3
Shikano, K.4
Lang, K.5
-
16
-
-
84964511330
-
Single channel blind dereverberation based on auto-correlation functions of frame-wise time sequences of frequency components
-
K. Ohta and M. Yanagida, "Single channel blind dereverberation based on auto-correlation functions of frame-wise time sequences of frequency components," Proc. of IWAENC, pp. 1-4, 2006
-
(2006)
Proc. of IWAENC
, pp. 1-4
-
-
Ohta, K.1
Yanagida, M.2
-
17
-
-
84893622444
-
The REVERB Challenge: A common evaluation framework for dereverberation and recognition of reverberant speech
-
K. Kinoshita, M. Delcroix, T. Yoshioka, T. Nakatani, E. Habets, R. Haeb-Umbach, V. Leutnant, A. Sehr, W. Kellermann, R. Maas, S. Gannot, and B. Raj, "The REVERB Challenge: A common evaluation framework for dereverberation and recognition of reverberant speech," Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2013
-
(2013)
Proc. of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
-
-
Kinoshita, K.1
Delcroix, M.2
Yoshioka, T.3
Nakatani, T.4
Habets, E.5
Haeb-Umbach, R.6
Leutnant, V.7
Sehr, A.8
Kellermann, W.9
Maas, R.10
Gannot, S.11
Raj, B.12
-
18
-
-
33646677283
-
Experimental framework for the performance evaluation of speech recognition front-ends on a large vocabulary task
-
June 4
-
G. Hirsch, "Experimental framework for the performance evaluation of speech recognition front-ends on a large vocabulary task," ETSI STQ-Aurora DSR Working Group, June 4, 2001
-
(2001)
ETSI STQ-Aurora DSR Working Group
-
-
Hirsch, G.1
-
19
-
-
0028996854
-
WSJCAM0: A British English speech corpus for large vocabulary continuous speech recognition
-
T. Robinson, J. Fransen, D. Pye, J. Foote, and S. Renals, "WSJCAM0: A British English speech corpus for large vocabulary continuous speech recognition," Proc. ICASSP, pp. 81-84, 1995
-
(1995)
Proc. ICASSP
, pp. 81-84
-
-
Robinson, T.1
Fransen, J.2
Pye, D.3
Foote, J.4
Renals, S.5
-
20
-
-
33846217002
-
The multi-channel Wall Street Journal audio visual corpus (MC-WSJAV): Specification and initial experiments
-
M. Lincoln, I. McCowan, J. Vepa, and H.K. Maganti, "The multi-channel Wall Street Journal audio visual corpus (MC-WSJAV): Specification and initial experiments," Proc. of IEEE Workshop on Automatic Speech Recognition and Understanding, 2005
-
(2005)
Proc. of IEEE Workshop on Automatic Speech Recognition and Understanding
-
-
Lincoln, M.1
McCowan, I.2
Vepa, J.3
Maganti, H.K.4
-
21
-
-
84906260861
-
Damped oscillator cepstral coefficients for robust speech recognition
-
V. Mitra, H. Franco, and M. Graciarena, "Damped oscillator cepstral coefficients for robust speech recognition," Proc. of Interspeech, pp. 886-890, 2013
-
(2013)
Proc. of Interspeech
, pp. 886-890
-
-
Mitra, V.1
Franco, H.2
Graciarena, M.3
-
22
-
-
84867589420
-
Normalized amplitude modulation features for large vocabulary noise-robust speech recognition
-
V. Mitra, H. Franco, M. Graciarena, and A. Mandal, "Normalized amplitude modulation features for large vocabulary noise-robust speech recognition," Proc. of ICASSP, pp. 4117-4120, 2012
-
(2012)
Proc. of ICASSP
, pp. 4117-4120
-
-
Mitra, V.1
Franco, H.2
Graciarena, M.3
Mandal, A.4
-
23
-
-
0028287770
-
Effect of reducing slow temporal modulations on speech reception
-
R. Drullman, J. M. Festen, and R. Plomp, "Effect of reducing slow temporal modulations on speech reception", J. Acoust. Soc. of Am., vol. 95, no. 5, pp. 2670-2680, 1994
-
(1994)
J. Acoust. Soc. of Am
, vol.95
, Issue.5
, pp. 2670-2680
-
-
Drullman, R.1
Festen, J.M.2
Plomp, R.3
-
24
-
-
84905269267
-
Medium duration modulation cepstral feature for robust speech recognition
-
Florence
-
V. Mitra, H. Franco, M. Graciarena, and D. Vergyri, "Medium duration modulation cepstral feature for robust speech recognition," Proc. of ICASSP, Florence, 2014
-
(2014)
Proc. of ICASSP
-
-
Mitra, V.1
Franco, H.2
Graciarena, M.3
Vergyri, D.4
-
25
-
-
0019075685
-
Some observations on oral air flow during phonation
-
H. Teager, "Some observations on oral air flow during phonation," in IEEE Trans. ASSP, pp. 599-601, 1980
-
(1980)
IEEE Trans. ASSP
, pp. 599-601
-
-
Teager, H.1
-
26
-
-
84964561760
-
Improving robustness against reverberation for large-vocabulary continuous speech recognition
-
V. Mitra, J. Van Hout, W. Wang, M. Graciarena, M. McLaren, H. Franco, D. Vergyri, "Improving Robustness against Reverberation for Large-Vocabulary Continuous Speech Recognition," submitted to ASRU 2015
-
(2015)
Submitted to ASRU
-
-
Mitra, V.1
Van Hout, J.2
Wang, W.3
Graciarena, M.4
McLaren, M.5
Franco, H.6
Vergyri, D.7
-
27
-
-
84964515036
-
The automatic speech recognition in reverberant environments (aspire) challenge
-
M. Harper, "The Automatic Speech recognition In Reverberant Environments (ASpIRE) Challenge," Proc. of ASRU, 2015
-
(2015)
Proc. of ASRU
-
-
Harper, M.1
-
28
-
-
84874226579
-
Adaptation of context-dependent deep neural networks for automatic speech recognition
-
K. Yao, D. Yu, F. Seide, H. Su, L. Deng, Y Gong, "Adaptation Of Context-Dependent Deep Neural Networks For Automatic Speech Recognition," Proc. of SLT 2012
-
(2012)
Proc. of SLT
-
-
Yao, K.1
Yu, D.2
Seide, F.3
Su, H.4
Deng, L.5
Gong, Y.6
|