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

• Published in: IEICE Transactions on Information and Systems Vol. E92.D; no. 7; pp. 1491 - 1495
• Main Authors: LEE, Kye-Hwan, CHANG, Joon-Hyuk
• Format: Journal Article
• Language: English
• Published: Oxford The Institute of Electronics, Information and Communication Engineers 2009; Oxford University Press
• 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; Speech codecs; Mobile radiocommunication; Mobile phone; Vocoder; Adaptive system; Wireless telecommunication; Mixture theory; Context aware; Gaussian mixture model; Gaussian process; Algorithm performance; Coding; selectable mode vocoder; Speech processing; acoustic environment classification
• ISSN: 0916-8532; 1745-1361; 1745-1361
• DOI: 10.1587/transinf.E92.D.1491

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.