Speech recognition in a home environment using parallel decoding with GMM-based noise modeling

Kohei Machida; Takashi Nose; Akinori Ito

doi:10.1109/APSIPA.2014.7041622

Speech recognition in a home environment using parallel decoding with GMM-based noise modeling

Kohei Machida, Takashi Nose, Akinori Ito

ENG - Communications Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we propose a method for noise-robust speech recognition in a home environment based on noise modeling and parallel decoding. There are three basic ideas of the proposed method. First, we model the noise signals observed in the environment using a GMM. Second, we generate multiple noise-reduced signals using the mean vectors of the GMM and decode the signals in parallel. Third, we choose the best recognition result from the multiple recognition results based on the confidence score. The proposed method is very simple and straightforward, yet effective compared with simple noise reduction. The experiments proved that the proposed method is effective for not only noise signals in the database but also for those in the real home environment.

Original language	English
Title of host publication	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9786163618238
DOIs	https://doi.org/10.1109/APSIPA.2014.7041622
Publication status	Published - 2014 Feb 12
Event	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand Duration: 2014 Dec 9 → 2014 Dec 12

Publication series

Name	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Other

Other	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
Country	Thailand
City	Chiang Mai
Period	14/12/9 → 14/12/12

Keywords

Confidence measure
FBANK
Gaussian Mixture Model
Noise modeling
Speech recognition in noise

ASJC Scopus subject areas

Signal Processing
Information Systems

Access to Document

10.1109/APSIPA.2014.7041622

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Cite this

Machida, K., Nose, T., & Ito, A. (2014). Speech recognition in a home environment using parallel decoding with GMM-based noise modeling. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 [7041622] (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2014.7041622

Speech recognition in a home environment using parallel decoding with GMM-based noise modeling. / Machida, Kohei; Nose, Takashi ; Ito, Akinori.

2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7041622 (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Machida, K, Nose, T & Ito, A 2014, Speech recognition in a home environment using parallel decoding with GMM-based noise modeling. in 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014., 7041622, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Institute of Electrical and Electronics Engineers Inc., 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Chiang Mai, Thailand, 14/12/9. https://doi.org/10.1109/APSIPA.2014.7041622

Machida K, Nose T , Ito A. Speech recognition in a home environment using parallel decoding with GMM-based noise modeling. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7041622. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). https://doi.org/10.1109/APSIPA.2014.7041622

Machida, Kohei ; Nose, Takashi ; Ito, Akinori. / Speech recognition in a home environment using parallel decoding with GMM-based noise modeling. 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014).

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