MUSAN: A Music, Speech, and Noise Corpus

نویسندگان

  • David Snyder
  • Guoguo Chen
  • Daniel Povey
چکیده

This report introduces a new corpus of music, speech, and noise. This dataset is suitable for training models for voice activity detection (VAD) and music/speech discrimination. Our corpus is released under a flexible Creative Commons license. The dataset consists of music from several genres, speech from twelve languages, and a wide assortment of technical and non-technical noises. We demonstrate use of this corpus for music/speech discrimination on Broadcast news and VAD for speaker identification.

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عنوان ژورنال:
  • CoRR

دوره abs/1510.08484  شماره 

صفحات  -

تاریخ انتشار 2015