DocumentCode :
3542771
Title :
Speech/music indexing for audio life-logs from portable device record
Author :
Yali Zheng ; Chisaki, Yoshifumi ; Usagawa, Tsuyoshi
Author_Institution :
Coll. of Inf. & Eng., Guilin Univ. of Technol., Guilin, China
fYear :
2013
fDate :
28-29 Sept. 2013
Firstpage :
173
Lastpage :
178
Abstract :
Audio plays an important role among information sources in our life. As a result of current technology, it is available to record people´s huge personal life activities as life-logs from long-term and multi-dimensional point of view on portable device. In order to make record be effective, this paper focuses on implementing the classification among speech, music and other kinds of sound around, which are collected from peoples´ daily acoustic life logs by smart phone. The separation experiments were carried out on daily life logs recording, while the performance of discrimination has been achieved by using Mel-Frequency Cepstrum Coefficients (MFCC) and Short-Term Energy based on multilayer feed forward Artificial Neural Network (ANN). Tests have shown encouraging result with accuracy around 86% by means of the proposed method, compared to 80% accuracy by only MFCC feature, which is completely enough for vague search among long-term audio life-logs.
Keywords :
acoustic signal processing; database indexing; feedforward neural nets; music; smart phones; social sciences computing; speech processing; ANN; MFCC; audio life-logs; daily acoustic life logs; daily life logs recording; mel-frequency cepstrum coefficients; multilayer feed forward artificial neural network; music classification; music indexing; portable device record; short-term energy; smart phone; sound classification; speech classification; speech indexing; Artificial neural networks; Feature extraction; Mel frequency cepstral coefficient; Music; Noise; Speech; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Science and Information Systems (ICACSIS), 2013 International Conference on
Conference_Location :
Bali
Type :
conf
DOI :
10.1109/ICACSIS.2013.6761571
Filename :
6761571
Link To Document :
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