Blind source separation by multilayer neural network classifiers for spectrogram analysis

This paper describes a novel method for blind source separation using multilayer neural networks when an audio signal has been recorded in a room with reverberation or with moving signal sources. In conventional applications, speech-recognition specialists can identify the signal from a specific spe...

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Autores principales: Toshihiko SHIRAISHI, Tomoki DOURA
Formato: article
Lenguaje:EN
Publicado: The Japan Society of Mechanical Engineers 2019
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Acceso en línea:https://doaj.org/article/7de2a8f33f734966bd0437d08dd14fa8
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