Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone
Summary :
In this letter, an acoustic environment classification algorithm based on the 3GPP2 selectable mode vocoder (SMV) is proposed for context-aware mobile phones. Classification of the acoustic environment is performed based on a Gaussian mixture model (GMM) using coding parameters of the SMV extracted directly from the encoding process of the acoustic input data in the mobile phone. Experimental results show that the proposed environment classification algorithm provides superior performance over a conventional method in various acoustic environments.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.7 pp.1491-1495
- Publication Date
- 2009/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.1491
- Type of Manuscript
- LETTER
- Category
- Speech and Hearing
Authors
Keyword
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Kye-Hwan LEE, Joon-Hyuk CHANG, "Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 7, pp. 1491-1495, July 2009, doi: 10.1587/transinf.E92.D.1491.
Abstract: In this letter, an acoustic environment classification algorithm based on the 3GPP2 selectable mode vocoder (SMV) is proposed for context-aware mobile phones. Classification of the acoustic environment is performed based on a Gaussian mixture model (GMM) using coding parameters of the SMV extracted directly from the encoding process of the acoustic input data in the mobile phone. Experimental results show that the proposed environment classification algorithm provides superior performance over a conventional method in various acoustic environments.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1491/_p
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@ARTICLE{e92-d_7_1491,
author={Kye-Hwan LEE, Joon-Hyuk CHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone},
year={2009},
volume={E92-D},
number={7},
pages={1491-1495},
abstract={In this letter, an acoustic environment classification algorithm based on the 3GPP2 selectable mode vocoder (SMV) is proposed for context-aware mobile phones. Classification of the acoustic environment is performed based on a Gaussian mixture model (GMM) using coding parameters of the SMV extracted directly from the encoding process of the acoustic input data in the mobile phone. Experimental results show that the proposed environment classification algorithm provides superior performance over a conventional method in various acoustic environments.},
keywords={},
doi={10.1587/transinf.E92.D.1491},
ISSN={1745-1361},
month={July},}
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TY - JOUR
TI - Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone
T2 - IEICE TRANSACTIONS on Information
SP - 1491
EP - 1495
AU - Kye-Hwan LEE
AU - Joon-Hyuk CHANG
PY - 2009
DO - 10.1587/transinf.E92.D.1491
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2009
AB - In this letter, an acoustic environment classification algorithm based on the 3GPP2 selectable mode vocoder (SMV) is proposed for context-aware mobile phones. Classification of the acoustic environment is performed based on a Gaussian mixture model (GMM) using coding parameters of the SMV extracted directly from the encoding process of the acoustic input data in the mobile phone. Experimental results show that the proposed environment classification algorithm provides superior performance over a conventional method in various acoustic environments.
ER -
English
