IEICE TRANSACTIONS on Information
Robust Voice Activity Detection Algorithm Based on Feature of Frequency Modulation of Harmonics and Its DSP Implementation
Summary :
This paper proposes a voice activity detection (VAD) algorithm based on an energy related feature of the frequency modulation of harmonics. A multi-resolution spectro-temporal analysis framework, which was developed to extract texture features of the audio signal from its Fourier spectrogram, is used to extract frequency modulation features of the speech signal. The proposed algorithm labels the voice active segments of the speech signal by comparing the energy related feature of the frequency modulation of harmonics with a threshold. Then, the proposed VAD is implemented on one of Texas Instruments (TI) digital signal processor (DSP) platforms for real-time operation. Simulations conducted on the DSP platform demonstrate the proposed VAD performs significantly better than three standard VADs, ITU-T G.729B, ETSI AMR1 and AMR2, in non-stationary noise in terms of the receiver operating characteristic (ROC) curves and the recognition rates from a practical distributed speech recognition (DSR) system.
- Publication
- IEICE TRANSACTIONS on Information Vol.E98-D No.10 pp.1808-1817
- Publication Date
- 2015/10/01
- Publicized
- 2015/07/10
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDP7138
- Type of Manuscript
- PAPER
- Category
- Speech and Hearing
Authors
Chung-Chien HSU
National Chiao Tung University
Kah-Meng CHEONG
National Chiao Tung University
Tai-Shih CHI
National Chiao Tung University
Yu TSAO
Academia Sinica
Keyword
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Chung-Chien HSU, Kah-Meng CHEONG, Tai-Shih CHI, Yu TSAO, "Robust Voice Activity Detection Algorithm Based on Feature of Frequency Modulation of Harmonics and Its DSP Implementation" in IEICE TRANSACTIONS on Information,
vol. E98-D, no. 10, pp. 1808-1817, October 2015, doi: 10.1587/transinf.2015EDP7138.
Abstract: This paper proposes a voice activity detection (VAD) algorithm based on an energy related feature of the frequency modulation of harmonics. A multi-resolution spectro-temporal analysis framework, which was developed to extract texture features of the audio signal from its Fourier spectrogram, is used to extract frequency modulation features of the speech signal. The proposed algorithm labels the voice active segments of the speech signal by comparing the energy related feature of the frequency modulation of harmonics with a threshold. Then, the proposed VAD is implemented on one of Texas Instruments (TI) digital signal processor (DSP) platforms for real-time operation. Simulations conducted on the DSP platform demonstrate the proposed VAD performs significantly better than three standard VADs, ITU-T G.729B, ETSI AMR1 and AMR2, in non-stationary noise in terms of the receiver operating characteristic (ROC) curves and the recognition rates from a practical distributed speech recognition (DSR) system.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDP7138/_p
Copy
@ARTICLE{e98-d_10_1808,
author={Chung-Chien HSU, Kah-Meng CHEONG, Tai-Shih CHI, Yu TSAO, },
journal={IEICE TRANSACTIONS on Information},
title={Robust Voice Activity Detection Algorithm Based on Feature of Frequency Modulation of Harmonics and Its DSP Implementation},
year={2015},
volume={E98-D},
number={10},
pages={1808-1817},
abstract={This paper proposes a voice activity detection (VAD) algorithm based on an energy related feature of the frequency modulation of harmonics. A multi-resolution spectro-temporal analysis framework, which was developed to extract texture features of the audio signal from its Fourier spectrogram, is used to extract frequency modulation features of the speech signal. The proposed algorithm labels the voice active segments of the speech signal by comparing the energy related feature of the frequency modulation of harmonics with a threshold. Then, the proposed VAD is implemented on one of Texas Instruments (TI) digital signal processor (DSP) platforms for real-time operation. Simulations conducted on the DSP platform demonstrate the proposed VAD performs significantly better than three standard VADs, ITU-T G.729B, ETSI AMR1 and AMR2, in non-stationary noise in terms of the receiver operating characteristic (ROC) curves and the recognition rates from a practical distributed speech recognition (DSR) system.},
keywords={},
doi={10.1587/transinf.2015EDP7138},
ISSN={1745-1361},
month={October},}
Copy
TY - JOUR
TI - Robust Voice Activity Detection Algorithm Based on Feature of Frequency Modulation of Harmonics and Its DSP Implementation
T2 - IEICE TRANSACTIONS on Information
SP - 1808
EP - 1817
AU - Chung-Chien HSU
AU - Kah-Meng CHEONG
AU - Tai-Shih CHI
AU - Yu TSAO
PY - 2015
DO - 10.1587/transinf.2015EDP7138
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2015
AB - This paper proposes a voice activity detection (VAD) algorithm based on an energy related feature of the frequency modulation of harmonics. A multi-resolution spectro-temporal analysis framework, which was developed to extract texture features of the audio signal from its Fourier spectrogram, is used to extract frequency modulation features of the speech signal. The proposed algorithm labels the voice active segments of the speech signal by comparing the energy related feature of the frequency modulation of harmonics with a threshold. Then, the proposed VAD is implemented on one of Texas Instruments (TI) digital signal processor (DSP) platforms for real-time operation. Simulations conducted on the DSP platform demonstrate the proposed VAD performs significantly better than three standard VADs, ITU-T G.729B, ETSI AMR1 and AMR2, in non-stationary noise in terms of the receiver operating characteristic (ROC) curves and the recognition rates from a practical distributed speech recognition (DSR) system.
ER -
English
