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 |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
The Japan Society of Mechanical Engineers
2019
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Materias: | |
Acceso en línea: | https://doaj.org/article/7de2a8f33f734966bd0437d08dd14fa8 |
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