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

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概要

• 論文の詳細を見る

• 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.

• （社）電子情報通信学会の論文
• 2009-07-01

著者

• Chang Joon-hyuk

  School Of Electronic And Electrical Engineering Inha University

• Lee Kye‐hwan

  School Of Electronic Engineering Inha University

• Lee Kye-hwan

  School Of Electronic Engineering Inha University

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