Estimation of channel bias for telephone speech recognition

Jen-Tzung Chien*, Hsiao Chuan Wang, Lee Min Lee

*Corresponding author for this work

Research output: Contribution to conferencePaper

16 Scopus citations

Abstract

In this study, we propose a maximum a posterior (MAP) estimation of channel bias to compensate the channel mismatch in telephone speech recognition. For a telephone speech, the channel bias is estimated by maximizing a posterior probability. Because a posterior probability is composed of a likelihood function and a prior density, we introduce a scale factor to evaluate their weights in MAP estimation. To further improve the performance, a prior channel statistics is extended to multiple components and the channel mismatch is separately compensated for different segments. Besides, a rapid MAP estimation applied in feature domain is also proposed for reducing the computational complexity. Experiments show that proposed method can significantly improve recognition ares and computational complexity.

Original languageEnglish
Pages1840-1843
Number of pages4
DOIs
StatePublished - 1 Dec 1996
EventProceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4) - Philadelphia, PA, USA
Duration: 3 Oct 19966 Oct 1996

Conference

ConferenceProceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4)
CityPhiladelphia, PA, USA
Period3/10/966/10/96

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    Chien, J-T., Wang, H. C., & Lee, L. M. (1996). Estimation of channel bias for telephone speech recognition. 1840-1843. Paper presented at Proceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4), Philadelphia, PA, USA, . https://doi.org/10.1109/ICSLP.1996.607989