-
1
-
-
85009242725
-
Evaluation of a noise-robust DSR front-end on Aurora databases
-
Denver, Colorado
-
D. Macho, L. Mauuary, B. Noe, Y.M. Cheng, D. Ealey, D. Jou-vet, H. Kelleher, D. Pearce, and F. Saadoun, "Evaluation of a noise-robust DSR front-end on Aurora databases," in Proc. of ICSLP, Denver, Colorado, 2002.
-
(2002)
Proc. of ICSLP
-
-
Macho, D.1
Mauuary, L.2
Noe, B.3
Cheng, Y.M.4
Ealey, D.5
Jou-Vet, D.6
Kelleher, H.7
Pearce, D.8
Saadoun, F.9
-
2
-
-
51449089990
-
A Minimum-mean-square-error noise reduction algorithm on mel-frequency cepstra for robust speech recognition
-
Las Vegas, NV
-
D. Yu, L. Deng, J. Droppo, J. Wu, Y. Gong, and A. Acero, "A Minimum-mean-square-error noise reduction algorithm on mel-frequency cepstra for robust speech recognition," in Proc. of ICASSP, Las Vegas, NV, 2008.
-
(2008)
Proc. of ICASSP
-
-
Yu, D.1
Deng, L.2
Droppo, J.3
Wu, J.4
Gong, Y.5
Acero, A.6
-
3
-
-
44849125798
-
High-performance HMM adaptation with joint compensation of ad-ditive and convolutive distortions via Vector Taylor Series
-
Kyoto, Japan
-
J. Li, L. Deng, D. Yu, Y. Gong, and A. Acero, "High-performance HMM adaptation with joint compensation of ad-ditive and convolutive distortions via Vector Taylor Series," in Proc. of ASRU, Kyoto, Japan, 2007.
-
(2007)
Proc. of ASRU
-
-
Li, J.1
Deng, L.2
Yu, D.3
Gong, Y.4
Acero, A.5
-
4
-
-
77249100743
-
An HMM compensation approach us-ing unscented transformation for noisy speech recognition
-
Y. Hu and Q. Huo, "An HMM compensation approach us-ing unscented transformation for noisy speech recognition," in Proc. ISCSLP, 2006, pp. 346-357.
-
(2006)
Proc. ISCSLP
, pp. 346-357
-
-
Hu, Y.1
Huo, Q.2
-
5
-
-
78049355732
-
Acoustic model adaptation via linear spline interpolation for robust speech recognition
-
Dallas, TX
-
M. L. Seltzer, K. Kalgaonkar, and A. Acero, "Acoustic model adaptation via linear spline interpolation for robust speech recognition," in Proc. of ICASSP, Dallas, TX, 2010.
-
(2010)
Proc. of ICASSP
-
-
Seltzer, M.L.1
Kalgaonkar, K.2
Acero, A.3
-
7
-
-
77956296425
-
Noise adaptive training for robust automatic speech recognition
-
Nov
-
O. Kalinli, M. L. Seltzer, J. Droppo, and A. Acero, "Noise adaptive training for robust automatic speech recognition," Au-dio, Speech, and Language Processing, IEEE Transactions on, vol. 18, no. 8, pp. 1889-1901, Nov. 2010.
-
(2010)
Au-dio, Speech, and Language Processing, IEEE Transactions on
, vol.18
, Issue.8
, pp. 1889-1901
-
-
Kalinli, O.1
Seltzer, M.L.2
Droppo, J.3
Acero, A.4
-
8
-
-
34547528168
-
Adaptive training with joint uncer-tainty decoding for robust recognition of noisy data
-
Honolulu, Hawaii
-
H. Liao and M. J. F. Gales, "Adaptive training with joint uncer-tainty decoding for robust recognition of noisy data," in Proc. of ICASSP, Honolulu, Hawaii, 2007.
-
(2007)
Proc. of ICASSP
-
-
Liao, H.1
Gales, M.J.F.2
-
9
-
-
0028194709
-
Connectionist probability estimators in HMM speech recog-nition
-
jan
-
S. Renals, N. Morgan, H. Bourlard, M. Cohen, and H. Franco, "Connectionist probability estimators in HMM speech recog-nition," IEEE Trans. Speech and Audio Proc., jan 1994.
-
(1994)
IEEE Trans. Speech and Audio Proc.
-
-
Renals, S.1
Morgan, N.2
Bourlard, H.3
Cohen, M.4
Franco, H.5
-
10
-
-
84055211743
-
Acoustic modeling using deep belief networks
-
jan
-
A. Mohamed, G.E. Dahl, and G. Hinton, "Acoustic modeling using deep belief networks," Audio, Speech, and Language Processing, IEEE Transactions on, vol. 20, no. 1, pp. 14-22, jan. 2012.
-
(2012)
Audio, Speech, and Language Processing, IEEE Transactions on
, vol.20
, Issue.1
, pp. 14-22
-
-
Mohamed, A.1
Dahl, G.E.2
Hinton, G.3
-
11
-
-
84865801985
-
Conversational speech transcrip-tion using context-dependent deep neural networks
-
F. Seide, G. Li, and D. Yu, "Conversational speech transcrip-tion using context-dependent deep neural networks," in Proc. Interspeech, 2011.
-
(2011)
Proc. Interspeech
-
-
Seide, F.1
Li, G.2
Yu, D.3
-
12
-
-
84878379108
-
Scalable mini-mum bayes risk training of deep neural network acoustic mod-els using distributed hessian-free optimization
-
B. Kingsbury, T. N. Sainath, and H. Soltau, "Scalable mini-mum bayes risk training of deep neural network acoustic mod-els using distributed hessian-free optimization," in Proc. Inter-speech, 2012.
-
(2012)
Proc. Inter-speech
-
-
Kingsbury, B.1
Sainath, T.N.2
Soltau, H.3
-
13
-
-
80051644173
-
Comparing multilayer perceptron to deep belief network tandem features for robust asr
-
may
-
O. Vinyals and S.V. Ravuri, "Comparing multilayer perceptron to deep belief network tandem features for robust asr," in Proc. ICASSP, may 2011, pp. 4596-4599.
-
(2011)
Proc. ICASSP
, pp. 4596-4599
-
-
Vinyals, O.1
Ravuri, S.V.2
-
14
-
-
0033692739
-
Feature extraction using non-linear transformation for robust speech recognition on the aurora database
-
S. Sharma, D. Ellis, S. Kajarekar, P. Jain, and H. Hermansky, "Feature extraction using non-linear transformation for robust speech recognition on the aurora database," in Proc. ICASSP, 2000, vol. 2, pp. II1117-II1120 vol.2.
-
(2000)
Proc. ICASSP
, vol.2
-
-
Sharma, S.1
Ellis, D.2
Kajarekar, S.3
Jain, P.4
Hermansky, H.5
-
15
-
-
0023739472
-
Noise reduction using connectionist models
-
S. Tamura and A.Waibel, "Noise reduction using connectionist models," in Proc. ICASSP, apr 1988, pp. 553-556 vol.1.
-
(1988)
Proc. ICASSP, Apr
, pp. 553-556
-
-
Tamura, S.1
Waibel, A.2
-
16
-
-
84878409063
-
Recurrent neural net-works for noise reduction in robust ASR
-
Andrew L. Maas, Quoc V. Le, Tyler M. ONeil, Oriol Vinyals, Patrick Nguyen, and Andrew Y. Ng, "Recurrent neural net-works for noise reduction in robust ASR," in Proc. Interspeech, 2012.
-
(2012)
Proc. Interspeech
-
-
Maas, A.L.1
Le, Q.V.2
Oneil, T.M.3
Vinyals, O.4
Nguyen, P.5
Ng, A.Y.6
-
17
-
-
84867720412
-
-
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov, "Improving neural net-works by preventing co-adaptation of feature detectors," http://arxiv.org/abs/1207.0580, 2012.
-
(2012)
Improving Neural Net-works by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
18
-
-
0029679189
-
Mean field theory for sigmoid belief networks
-
Lawrence Saul, Tommi Jaakkola, and Michael I. Jordan, "Mean field theory for sigmoid belief networks," Journal of Artificial Intelligence Research, vol. 4, pp. 61-76, 1996.
-
(1996)
Journal of Artificial Intelligence Research
, vol.4
, pp. 61-76
-
-
Saul, L.1
Jaakkola, T.2
Jordan, M.I.3
-
20
-
-
85009070292
-
Large-vocabulary speech recognition under adverse acoustic environments
-
October
-
Li Deng, A. Acero, Mike Plumpe, and Huang Xuedong, "Large-vocabulary speech recognition under adverse acoustic environments," ICSLP 2000, vol. 3, pp. 806-809, October 2000.
-
(2000)
ICSLP 2000
, vol.3
, pp. 806-809
-
-
Deng, L.1
Acero, A.2
Plumpe, M.3
Xuedong, H.4
-
21
-
-
0021892216
-
Speech enhancement using a minimum mean square error log-spectral amplitude estimator
-
Apr
-
Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean square error log-spectral amplitude estimator," IEEE Trans. on Acoust., Speech, Signal Processing, vol. ASSP-33, no. 2, pp. 443-445, Apr. 1985.
-
(1985)
IEEE Trans. on Acoust., Speech, Signal Processing
, vol.ASSP-33
, Issue.2
, pp. 443-445
-
-
Ephraim, Y.1
Malah, D.2
-
22
-
-
85009113852
-
HMM adaptation using vector taylor series for noisy speech recognition
-
A. Acero, L. Deng, T. Kristjansson, and J. Zhang, "HMM Adaptation Using Vector Taylor Series for Noisy Speech Recognition," in Proc. of ICSLP, 2000.
-
(2000)
Proc. of ICSLP
-
-
Acero, A.1
Deng, L.2
Kristjansson, T.3
Zhang, J.4
|