The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam surat ini, algoritma klasifikasi persekitaran akustik berdasarkan vocoder mod boleh pilih (SMV) 3GPP2 dicadangkan untuk telefon mudah alih yang peka konteks. Pengelasan persekitaran akustik dilakukan berdasarkan model campuran Gaussian (GMM) menggunakan parameter pengekodan SMV yang diekstrak terus daripada proses pengekodan data input akustik dalam telefon bimbit. Keputusan eksperimen menunjukkan bahawa algoritma klasifikasi persekitaran yang dicadangkan memberikan prestasi unggul berbanding kaedah konvensional dalam pelbagai persekitaran akustik.
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Salinan
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
Salinan
@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},}
Salinan
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 -