Robust speaker recognition on mobile devices

2010 International Conference on Signal Processing and Communications, SPCOM 2010

Volumn , Issue , 2010, Pages

  Rao, K Sreenivasa ^a   Vuppala, Anil Kumar ^a   Chakrabarti, Saswat ^a   Dutta, Leena ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Auto associative neural network (AANN); Multi SNR multi environment speaker models; Speaker recognition for mobile devices

Indexed keywords

AUTOASSOCIATIVE NEURAL NETWORKS; BACKGROUND ENVIRONMENT; HIGH FREQUENCY; MICROPHONE SPEECH; MOBILE ENVIRONMENTS; NOISY ENVIRONMENT; PRE-PROCESSING METHOD; ROBUST SPEAKER RECOGNITION; SPEAKER MODEL; SPEAKER RECOGNITION; SPEAKER RECOGNITION SYSTEM; TEXT-INDEPENDENT SPEAKER IDENTIFICATION; VARYING BACKGROUND; WHITE GAUSSIAN NOISE; WIRELESS CHANNEL;

MOBILE DEVICES; MOBILE TELECOMMUNICATION SYSTEMS; NEURAL NETWORKS; OPTICAL COMMUNICATION; PORTABLE EQUIPMENT; SIGNAL PROCESSING; SPEECH CODING; SPEECH ENHANCEMENT; WIRELESS NETWORKS;

SPEECH RECOGNITION;

EID: 77958473417     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SPCOM.2010.5560542     Document Type: Conference Paper

References (13)

1. Liping Yang, Weiguo Gong, "Multi-SNR GMMs-based noise-robust speaker verification using 1/fa noises", Proceedings of the International Conference on Pattern Recognition, 2006.
2. Ji Ming, Timothy J. Hazen, James R. Glass, Douglas A. Reynolds, "Robust speaker recognition in noisy conditions", IEEE Trans. Audio, Speech, and Language Processing, vol. 15, pp. 1711-1723, 2007.
3. D. A. Reynolds, "Channel robust speaker recognition via feature mapping," Proceedings of the ICASSP, pp. 53-56, 2003.
4. L. P. Heck, M. Weintraub, "Handset-dependent back-ground models for robust text-independent speaker recognition," Proceedings of the ICASSP, pp. 1071-1074, 1997.
5. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoust. Speech Signal Processing, pp. 113-120, 1979.
6. T. Ganchev, I. Potamitis, N. Fakotakis, "Noise-source modeling for robust speaker recognition in adverse environments," Proceedings of the Competitive Environment, Renewable Energy, Distributed Generation ISAP, 2003.
7. P. Sivakumaran, A. M. Ariyaeeinia, M. J. Loomes, "Sub-band based text-dependent speaker Recognition," Speech Communication, vol. 41, pp. 485-509, 2003.
8. K. Yoshida, K. Takagi, K. Ozeki, "Improved model training and automatic weight adjustment for multi-SNR multi-band speaker identification system," Proceedings of ICSLP, pp. 1749-1752, 2004.
9. A. Varga and H. J. M. Steeneken, "Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effct of additive noise on speech recognition systems, Speech Communication, vol. 12, pp. 247-251, Jul. 1993.
10. B. Yegnanarayana and S. P. Kishore, "AANN an alternative to GMM for pattern recognition", Neural Networks, vol. 15, pp. 459-469, 2002.
11. Kishore S. Prahallad and B. Yegnanarayana and Suryakanth V Gangashetty, "Online text-independent speaker verification system using autoassociative neural network models", Proceedings of INNS-IEEE Int. Joint Conf. Neural Networks, Washington DC, USA, pp. 1548-1553, July 2001.
12. Chaitanya Mannemala, "Single channel speech enhancement", MS Thesis, Dept of Computer science, IIT Madras, 2005.
13. P. Krishnamoorthy and S. R. M. Prasanna, "Temporal and Spectral Processing Methods for Processing of Degraded Speech: A Review", J. IETE Technical Review, vol. 26, Issue 2, pp. 137-148, Mar.-Apr. 2009.