Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2014, Pages 2519-2523

  Thomas, Samuel ^a   Ganapathy, Sriram ^a   Saon, George ^a   Soltau, Hagen ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Convolutional neural networks; Neural network adaptation; Speech activity detection

Indexed keywords

NEURAL NETWORKS; SPEECH RECOGNITION;

ACOUSTIC CONDITIONS; CONVOLUTIONAL NEURAL NETWORK; DEEP NEURAL NETWORKS; NEURAL NETWORK ADAPTATION; PERFORMANCE DEGRADATION; SPEECH ACTIVITY DETECTIONS; STATE-OF-THE-ART PERFORMANCE; TWO-DIMENSIONAL FILTERS;

SIGNAL PROCESSING;

EID: 84905248050     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854054     Document Type: Conference Paper

References (26)

1. K. Woo, T. Yang, K. Park, and C. Lee, "Robust Voice Activity Detection Algorithm for Estimating Noise Spectrum," IEEE Electronics Letters, 2000.
2. R. Chengalvarayan, "Robust Energy Normalization using Speech/Non-speech Discriminator for German Connected Digit Recognition," in ISCA Eurospeech, 1999.
3. Itu-T ITU-T, "A Silence Compression Scheme for G.729 Optimized for Terminals Conforming to Recommendation V.70," in Recommendation G.729-Annex B, 1996.
4. E. Nemer, R. Goubran, and S. Mahmoud, "Robust Voice Activity Detection using Higher-order Statistics in the LPC Residual Domain," IEEE Electronics Letters, 2000.
5. J. Dines, J. Vepa, and T. Hain, "The Segmentation of Multichannel Meeting Recording for Automatic Speech Recognition," ISCA ICSLP, 2006.
6. B. Kingsbury, G. Saon, L. Mangu, M. Padmanabhan, and R. Sarikaya, "Robust Speech Recognition in Noisy Environments: The 2001 IBM SPINE Evaluation System," ISCA ICASSP, 2002.
7. H. Hermansky, "Perceptual Linear Predictive (PLP) Analysis of Speech," The Journal of the Acoustical Society of America, 1990.
8. S. Davis and P. Mermelstein, "Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences," IEEE Transactions on Acoustics, Speech and Signal Processing, 1980.
9. H. Hermansky and P. Fousek, "Multi-resolution RASTA Filtering for TANDEM-based ASR," in ISCA Interspeech, 2005.
10. S. Ganapathy, P. Rajan, and H. Hermansky, "Multi-layer Perceptron based Speech Activity Detection for Speaker Verification," IEEE WASPAA, 2011.
11. N. Mesgarani, M. Slaney, and S. Shamma, "Discrimination of Speech from Non-speech based on Multiscale Spectrotemporal Modulations," IEEE Transactions on Audio, Speech, and Language Processing, 2006.
12. Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient based Learning applied to Document Recognition," Proceedings of the IEEE, 1998.
13. K.Walker and S. Strassel, "The RATS Radio Traffic Collection System," in ISCA Odyssey, 2012.
14. T. Ng et al., "Developing a Speech Activity Detection system for the DARPA RATS Program," in ISCA Interspeech, 2012.
15. S. Thomas et al., "Acoustic and Data-driven Features for Robust Speech Activity Detection," in ISCA Interspeech, 2012.
16. G. Saon et al., "The IBM Speech Activity Detection System for the DARPA RATS Program," in ISCA Interspeech, 2013.
17. A. Tsiartas et al., "Multi-band Long-term Signal Variability Features for Robust Voice Activity Detection," in ISCA Interspeech, 2013.
18. M. Graciarena et al., "All for One: Feature Combination for Highly Channel-degraded Speech Activity Detection," in ISCA Interspeech, 2013.
19. Y. Lecun, F. Huang, and L. Bottou, "Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting," in IEEE CVPR, 2004.
20. O. Abdel-Hamid, A. Mohamed, H. Jiang, and G. Penn, "Applying Convolutional Neural Network concepts to Hybrid NNHMMmodel for Speech Recognition," in IEEE ICASSP, 2012.
21. T. Sainath, A. Mohamed, B. Kingsbury, and B. Ramabhadran, "Deep Convolutional Neural Networks for LVCSR," in IEEE ICASSP, 2013.
22. H. Soltau, H.K. Kuo, L. Mangu, G. Saon, and T. Beran, "Neural Network Acoustic Models for the DARPA RATS Program," in ISCA Interspeech, 2013.
23. V. Abrash, H. Franco, A. Sankar, and M. Cohen, "Connectionist Speaker Normalization and Adaptation," in ISCA Eurospeech, 1995.
24. R. Gemello, F. Mana, S. Scanzio, P. Laface, and R. De Mori, "Linear Hidden Transformations for Adaptation of Hybrid ANN/HMM Models," Speech Communication, 2007.
25. K. Yao, D. Yu, F. Seide, H. Su, L.i Deng, and Y. Gong, "Adaptation of Context-dependent Deep Neural Networks for Automatic Speech Recognition," in IEEE SLT, 2012.
26. O. Abdel-Hamid and H. Jiang, "Rapid and Effective Speaker Adaptation of Convolutional Neural Network basedModels for Speech Recognition," in ISCA Interspeech, 2013.