Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone

Kye-Hwan LEE  Joon-Hyuk CHANG  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E92-D   No.7   pp.1491-1495
Publication Date: 2009/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E92.D.1491
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
Keyword: 
acoustic environment classification,  Gaussian mixture model,  selectable mode vocoder,  

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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.