Rapid adaptation for mobile speech applications

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

Volumn , Issue , 2013, Pages 7903-7907

  Bacchiani, Michiel ^a  

^a GOOGLE INC   (United States)

Author keywords

Eigenvoices; GMM; iVectors; rapid adaptation

Indexed keywords

EIGENVOICES; ERROR REDUCTION; GMM; I-VECTORS; MAPREDUCE FRAMEWORKS; RAPID ADAPTATION; SPEECH APPLICATIONS; TRAINING ALGORITHMS;

MATHEMATICAL TRANSFORMATIONS; SIGNAL PROCESSING;

SPEECH RECOGNITION;

EID: 84890484784     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639203     Document Type: Conference Paper

References (20)

1. G. Zavaliagkos and R. Schwartz and J. Makhoul, "Batch, Incremental and Instantaneous Adaptation Techniques for Speech Recognition," in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 1995, vol. I, pp. 676-679.
2. M. Riley and A. Ljolje and D. Hindle and F. Pereira, 'The AT&T 60,000 Word Speech-to-Text System," in Proc. European Con! on Speech Communication and Technology, 1995, pp. 207-21O.
3. L. Bahl, S. Balakrishnan-Aiyer and J. Bellgarda and M. Franz and P. Gopalakrishnan and D. Nahamoo and M. Novak and M. Padmanabhan and M. Picheny and S. Roukos, "Performance of the IBM Large Vocabulary Continuous Speech Recognition System on the ARPA Wall Street Journal task," in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 1995, vol. I, pp. 41-44.
4. D. Pallet, "Overview of the 1997 DARPA Speech Recognition Workshop," in Proceedings of the DARPA Speech Recognition Workshop, 1997.
5. J. Godfrey and E. Holliman and J. McDaniel, "SWITCHBOARD: Telephone Speech Corpus for Research and Development," in Proc. IEEE Int. Con! on Acoustics, Speech, and Signal Processing, 1992, vol. I, pp. 517-520.
6. J. Gauvain and C. Lee, "Maximum a-posteriori estimation for multivariate Gaussian mixture observations of Markov chains," IEEE Transactions on Speech and Audio Processing, vol. 2, no. 2,pp. 291-298,1994.
7. c. Leggetter and P. Woodland, "Maximum Likelihood Linear Regression for Speaker Adaptation of Continuous Density Hidden Markov Models," Computer Speech and Language, vol. 9, pp. 171-185, 1995.
8. M. Padmanabhan and L. Bahl and D. Nahamoo and M. Picheny, "Speaker clustering and transformation for speaker adaptation in large-vocabulary speech recognition systems," in Proc. IEEE Int. Con! on Acoustics, Speech, and Signal Processing, 1996, vol. 2, pp. 701-704.
9. T. Anastasakos and I. McDonough and R. Schwartz and I. Makhoul, "A Compact Model for Speaker-Adaptive Training," in Proc. Int. Con! on Spoken Language Processing, 1996, vol. 2, pp. 1137-1140.
10. V. Digalakis, D. Rtischev, L. Neumeyer, "Speaker Adaptation Using Constrained Estimation of Gaussian Mixtures," IEEE Transactions on Speech and Audio Processing, vol. 3, no. 5, pp. 357-366, 1995.
11. M. Gales, "Maximum likelihood linear transformations for HMM-based speech recognition," Computer Speech and Language, vol. 12, no. 2, 1998.
12. E. Bocchieri,V. Digalakis, A. Corduneanu, C. Boulis, "Correlation modeling of MLLR transform biases for rapid HMM adaptation to new speakers," in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 1999, vol. 2, pp. 773-776.
13. R. Haeb-Umbach, "Automatic Generation of Phonetic Regression Class Trees for MLLR Adaptation," IEEE Transactions on Speech and Audio Processing, vol. 9, no. 3, pp. 299-302, 2001.
14. P. Nguyen and C. Wellekens and I.-C. Iunqua, "Maximum Likelihood Eigenspace and MLLR for Speech Recognition in Noisy Environments," in Proc. European Con! on Speech Communication and Technology, 1999.
15. R. Kuhn and I.-C. Iunqua and P. Nguyen and N. Niedzielski, "Rapid Speaker Adaptation in Eigenvoice Space," IEEE Transactions on Speech and Audio Processing, vol. 8, no. 6, pp. 695-707,2000.
16. P. Kenny and G. Boulianne and P. Dumouchel, "Eigenvoice Modeling With Sparse Training Data," IEEE Transactions on Speech and Audio Processing, vol. 13, no. 3, pp. 345-354, 2005.
17. M. Gales, "Cluster Adaptive Training of Hidden Markov Models," IEEE Transactions on Speech and Audio Processing, vol. 8, no. 4, pp. 417-428, 2000.
18. N. Dehak and P. Kenny and R. Dehak and P. Dumouchel and P. Ouellet, "Front-End Factor Analysis for Speaker Verification," IEEE Transactions on Audio Speech and Language Processing, vol. 19, no. 4, pp. 788-798, 20 I I.
19. J. Schalkwyk and D. Beeferman and F. Beaufays and B. Byrne and C. Chelba and M. Cohen and M. Kamvar and B. Strope, "Google Search by Voice: A Case Study," in Visions of Speech: Exploring New Voice Apps in Mobile Environments, Call Centers and Clinics, A. Neustein, Ed. Springer, 2010.
20. I. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," in OSDJ'04: Sixth Symposium on Operating System Design and Implementation, San Francisco, CA,2004.