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Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone
Kye-Hwan LEE Joon-Hyuk CHANG
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2009/07/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
acoustic environment classification, Gaussian mixture model, selectable mode vocoder,
Full Text: PDF(194.8KB)>>
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.