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• W1505347832 abstract "Current web search engines generally do not enable searches into audio files. Informativemetadata would allow searches into audio files, but producing such metadata is a tedious manual task. Tools for automatic production of metadata are therefore needed. This project describes the work done on the development of an automatic audio segmentation system which can be used for this metadata extraction. In this work the radio newscast are divided into segments in which there is only one speaker. Audio features used in this project includeMel Frequency Cepstral Coefficients. This feature was extracted from audio files that were stored in a WAV format, using CLAM. Model-Selection-Based segmentation is used tosegment audio signals using this feature." @default.
• W1505347832 created "2016-06-24" @default.
• W1505347832 creator A5026620681 @default.
• W1505347832 date "2008-03-01" @default.
• W1505347832 modified "2023-09-22" @default.
• W1505347832 title "An Automatic audio segmentation system for radio newscast" @default.
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• W1505347832 hasPublicationYear "2008" @default.
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