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

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...

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Veröffentlicht in:IEICE Transactions on Information and Systems 2009/07/01, Vol.E92.D(7), pp.1491-1495
Hauptverfasser: LEE, Kye-Hwan, CHANG, Joon-Hyuk
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CHANG, Joon-Hyuk
description 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.
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subjects acoustic environment classification
Acoustics
Algorithms
Applied sciences
Cell phones
Classification
Codec
Coding, codes
Equipments and installations
Exact sciences and technology
Gaussian
Gaussian mixture model
Information, signal and communications theory
Mathematical models
Mobile radiocommunication systems
Radiocommunications
selectable mode vocoder
Services and terminals of telecommunications
Signal and communications theory
Signal processing
Speech
Speech processing
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telephone. Videophone
title Acoustic Environment Classification Based on SMV Speech Codec Parameters for Context-Aware Mobile Phone
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