Deep bottleneck features for spoken language identification

A key problem in spoken language identification (LID) is to design effective representations which are specific to language information. For example, in recent years, representations based on both phonotactic and acoustic features have proven their effectiveness for LID. Although advances in machine...

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Veröffentlicht in:	PloS one 2014-07, Vol.9 (7), p.e100795-e100795
Hauptverfasser:	Jiang, Bing, Song, Yan, Wei, Si, Liu, Jun-Hua, McLoughlin, Ian Vince, Dai, Li-Rong
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic noise Acoustics Artificial Intelligence Artificial neural networks Background noise Biology and Life Sciences Communication Computer and Information Sciences Engineering Information processing Laboratories Language Learning algorithms Machine learning Natural Language Processing Neural networks Neural Networks (Computer) Ratios Representations Science Speech Speech recognition Speech Recognition Software Support Vector Machine Voice recognition
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