A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Language and genre detection in audio content analysis
This paper presents an audio genre detection framework that can be used for a multi-language audio corpus. Cepstral coefficients are considered and analyzed as the feature set for both a language dependent and language independent genre identification (GID) task. Language information is found to increase the overall detection accuracy on an average by at least 2.6% from its language independent counterpart. Melfrequency cepstral coefficients have been widely used for Music Information Retrievaldoi:10.21437/interspeech.2008-621 fatcat:t73vxm4j2zf2jbl2ziqvsontgq