A robust frontend for VAD: Exploiting contextual, discriminative and spectral cues of human voice

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2013, Pages 704-708

  Segbroeck, Maarten Van ^a   Tsiartas, Andreas ^a   Narayanan, Shrikanth S ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Noise robust features; Speech activity detection

Indexed keywords

SIGNAL PROCESSING; SPEECH COMMUNICATION; SPEECH PROCESSING;

MULTI-LAYER PERCEPTRON CLASSIFIERS; NOISE ROBUST; PERIODICITY STRUCTURES; ROBUST SIGNAL PROCESSING; SPECTRAL VARIABILITY; SPECTRO-TEMPORAL MODULATIONS; SPEECH ACTIVITY DETECTIONS; VOICE ACTIVITY DETECTION;

CONTINUOUS SPEECH RECOGNITION;

EID: 84906246377     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (35)

1. Y. Kida and T. Kawahara, "Voice activity detection based on optimally weighted combination of multiple features, " in Proc. Interspeech, 2005, pp. 2621-2624.
2. M. Fujimoto, K. Ishizuka, and T. Nakatani, "A voice activity detection based on the adaptive integration of multiple speech features and a signal decision scheme, " in Proc. ICASSP, 2008.
3. T. Ng, B. Zhang, L. Nguyen, S. Matsoukas, X. Zhou, N. Mesgarani, K. Vesel, and P. Matejka, "Developing a speech activity detection system for the DARPA RATS program." in Proc. Interspeech, 2012.
4. A. Thomas, S. Mallidi, T. Janu, H. Hermansky, N. Mesgarani, X. Zhou, S. Shamma, T. Ng, B. Zhang, L. Nguyen, and S. Matsoukas, "Acoustic and data-driven features for robust speech activity detection, " in Proc. Interspeech, 2012.
5. K. Walker and S. Strassel, "The rats radio traffic collection system, " in Odyssey 2012-The Speaker and Language Recognition Workshop, 2012.
6. S. Davis and P. Mermelstein, "Comparison of parametric representations for monosyllabic word recognitions in continuously spoken sentences, " IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 28, no. 4, pp. 357-366, Aug. 1980.
7. H. Hermansky, "Perceptual linear predictive (PLP) analysis of speech, " Journal of the Acoustical Society of America, vol. 87, no. 4, pp. 1738-1752, Apr. 1990.
8. Y. Shao, S. Srinivasan, and D. Wang, "Incorporating auditory feature uncertainties in robust speaker identification, " in Proc. ICASSP, 2002, pp. 277-280.
9. C. Kim and R. M. R. M. Stern, "Power-normalized coefficients (PNCC) for robust speech recognition, " in Proc. ICASSP, 2012.
10. Y. Shao, Z. Jin, D. L.Wang, and S. Srinivasan, "An auditory-based feature for robust speech recognition, " in Proc. ICASSP, 2009.
11. R. Schluter, I. Bezrukov, H. Wagner, and H. Ney, "Gammatone features and feature combination for large vocabulary speech recognition, " in Proc. ICASSP, 2007.
12. H. Hermansky and S. Sharma, "TRAPS - classifiers of temporal patterns, " in Proc. Interspeech, Sydney, Australia, Nov. 1998, pp. 1003-1006.
13. D. Ellis, R. Singh, and S. Sivadas, "Tandem acoustic modeling in large-vocabulary recognition, " in Proc. ICASSP, 2001.
14. F. Grezl, M. Karafiat, S. Kontar, and J. Cernocky, "Probabilistic and bottle-neck features for LVCSR of meetings, " in Proc. ICASSP, 2007.
15. B. Kingsbury, N. Morgan, and S. Greenberg, "Robust speech recognition using the modulation spectrogram, " Speech Communication, vol. 25, pp. 117-132, Aug. 1998.
16. H. Hermansky and S. Sharma, "Temporal patterns (TRAPs) in ASR of noisy speech, " in Proc. ICASSP, vol. 1, Phoenix, Arizona, U.S.A., Mar. 1997, pp. 289-292.
17. K. Mi, "Spectro-temporal gabor features as a front end for ASR, " in Proc. Forum Acusticum Sevilla, 2002.
18. N. Mesgarani, M. Slaney, and S. Shamma, "Discrimination of speech from non-speech based on multiscale spectro-temporal modulations, " IEEE Transactions of Audio, Speech and Language Processing, 2006.
19. H. Hermansky and P. Fousek, "Multi-resolution RASTA filtering for TANDEM-based ASR, " in Proc. Interspeech, Lisbon, Portugal, Oct. 2005, pp. 361-364.
20. S. Zhao and N. Morgan, "Multi-stream spectro-temporal features for robust speech recognition, " in Proc. Interspeech, 2008, pp. 898-901.
21. T. S. S. Ganapathy, and H. Hermansky, "Tandem representations of spectral envelope and modulation frequency features for ASR, " in Proc. Interspeech, 2009, pp. 2955-2958.
22. T. Tsai and N. Morgan, "Longer features: They do a speech detector good, " in Proc. Interspeech, 2012.
23. M. Van Segbroeck and S. Narayanan, "A robust frontend for ASR: combining denoising, noise masking and feature normalization, " in Proc. ICASSP, 2013.
24. B. T. Meyer, S. V. Ravuri, M. R. Schadler, and N. Morgan, "Comparing different flavors of spectro-temporal features for ASR, " in Proc. Interspeech, 2011, pp. 1269-1272.
25. B. Meyer, S. Ravuri, M. Schadler, and N. Morgan, "Comparing different flavors of spectro-temporal features for ASR, " in Proc. Interspeech, 2011, pp. 1269-1272.
26. D. L. Thomson and R. Chengalvarayan, "Use of voicing features in hmm-based speech recognition, " Speech Communication, vol. 37, no. 3, pp. 197-211, 2002.
27. A. Zolnay, R. Schulter, and H. Ney, "Extraction methods of voicing feature for robust speech recognition, " in Proceedings of EUROSPEECH, 2003, pp. 497-500.
28. T. Fukuda, O. Ichikawa, and M. Nishimura, "Long-term spectrotemporal and static harmonic features for voice activity detection, " Selected Topics in Signal Processing, IEEE Journal of, vol. 4, no. 5, pp. 834-844, 2010.
29. E. Chuangsuwanich and J. Glass, "Robust voice activity detector for real world applications using harmonicity and modulation frequency, " in Twelfth Annual Conference of the International Speech Communication Association, 2011.
30. S. Granqvist and B. Hammarberg, "The correlogram: A visual display of periodicity, " The Journal of the Acoustical Society of America, vol. 114, 2003.
31. H. Van Hamme, "Robust speech recognition using cepstral domain missing data techniques and noisy masks, " in Proc. ICASSP, Montreal, Canada, May 2004, pp. 213-216.
32. M. Van Segbroeck, "Robust large vocabulary continuous speech recognition using missing data techniques, " Ph.D. dissertation, K.U.Leuven, ESAT, Jan. 2010.
33. J. M. Pickett, The sounds of speech communication: A primer of acoustic phonetics and speech perception. University Park Press Baltimore, 1980.
34. P. K. Ghosh, A. Tsiartas, and S. Narayanan, "Robust voice activity detection using long-term signal variability, " Audio, Speech, and Language Processing, IEEE Transactions on, vol. 19, no. 3, pp. 600-613, 2011.
35. H. Goldberg, RATS Evaluation Plan, 2011, https://rats.saic.com/index.php/ EvaluationProtocols.