IEICE TRANSACTIONS on Information
A Noise-Robust Continuous Speech Recognition System Using Block-Based Dynamic Range Adjustment
Summary :
A new approach to speech feature estimation under noise circumstances is proposed in this paper. It is used in noise-robust continuous speech recognition (CSR). As the noise robust techniques in isolated word speech recognition, the running spectrum analysis (RSA), the running spectrum filtering (RSF) and the dynamic range adjustment (DRA) methods have been developed. Among them, only RSA has been applied to a CSR system. This paper proposes an extended DRA for a noise-robust CSR system. In the stage of speech recognition, a continuous speech waveform is automatically assigned to a block defined by a short time length. The extended DRA is applied to these estimated blocks. The average recognition rate of the proposed method has been improved under several different noise conditions. As a result, the recognition rates are improved up to 15% in various noises with 10 dB SNR.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.3 pp.844-852
- Publication Date
- 2012/03/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.844
- Type of Manuscript
- PAPER
- Category
- Speech and Hearing
Authors
Keyword
CMS, CSR, DRA, noise-robust, RSA
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Yiming SUN, Yoshikazu MIYANAGA, "A Noise-Robust Continuous Speech Recognition System Using Block-Based Dynamic Range Adjustment" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 3, pp. 844-852, March 2012, doi: 10.1587/transinf.E95.D.844.
Abstract: A new approach to speech feature estimation under noise circumstances is proposed in this paper. It is used in noise-robust continuous speech recognition (CSR). As the noise robust techniques in isolated word speech recognition, the running spectrum analysis (RSA), the running spectrum filtering (RSF) and the dynamic range adjustment (DRA) methods have been developed. Among them, only RSA has been applied to a CSR system. This paper proposes an extended DRA for a noise-robust CSR system. In the stage of speech recognition, a continuous speech waveform is automatically assigned to a block defined by a short time length. The extended DRA is applied to these estimated blocks. The average recognition rate of the proposed method has been improved under several different noise conditions. As a result, the recognition rates are improved up to 15% in various noises with 10 dB SNR.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.844/_p
Copy
@ARTICLE{e95-d_3_844,
author={Yiming SUN, Yoshikazu MIYANAGA, },
journal={IEICE TRANSACTIONS on Information},
title={A Noise-Robust Continuous Speech Recognition System Using Block-Based Dynamic Range Adjustment},
year={2012},
volume={E95-D},
number={3},
pages={844-852},
abstract={A new approach to speech feature estimation under noise circumstances is proposed in this paper. It is used in noise-robust continuous speech recognition (CSR). As the noise robust techniques in isolated word speech recognition, the running spectrum analysis (RSA), the running spectrum filtering (RSF) and the dynamic range adjustment (DRA) methods have been developed. Among them, only RSA has been applied to a CSR system. This paper proposes an extended DRA for a noise-robust CSR system. In the stage of speech recognition, a continuous speech waveform is automatically assigned to a block defined by a short time length. The extended DRA is applied to these estimated blocks. The average recognition rate of the proposed method has been improved under several different noise conditions. As a result, the recognition rates are improved up to 15% in various noises with 10 dB SNR.},
keywords={},
doi={10.1587/transinf.E95.D.844},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - A Noise-Robust Continuous Speech Recognition System Using Block-Based Dynamic Range Adjustment
T2 - IEICE TRANSACTIONS on Information
SP - 844
EP - 852
AU - Yiming SUN
AU - Yoshikazu MIYANAGA
PY - 2012
DO - 10.1587/transinf.E95.D.844
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2012
AB - A new approach to speech feature estimation under noise circumstances is proposed in this paper. It is used in noise-robust continuous speech recognition (CSR). As the noise robust techniques in isolated word speech recognition, the running spectrum analysis (RSA), the running spectrum filtering (RSF) and the dynamic range adjustment (DRA) methods have been developed. Among them, only RSA has been applied to a CSR system. This paper proposes an extended DRA for a noise-robust CSR system. In the stage of speech recognition, a continuous speech waveform is automatically assigned to a block defined by a short time length. The extended DRA is applied to these estimated blocks. The average recognition rate of the proposed method has been improved under several different noise conditions. As a result, the recognition rates are improved up to 15% in various noises with 10 dB SNR.
ER -
English
