Feature Joint-State Posterior Estimation in Factorial Speech Processing Models using Deep Neural Networks

This paper proposes a new method for calculating joint-state posteriors of mixed-audio features using deep neural networks to be used in factorial speech processing models. The joint-state posterior information is required in factorial models to perform joint-decoding. The novelty of this work is it...

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Bibliographische Detailangaben

Hauptverfasser:	Khademian, Mahdi, Homayounpour, Mohammad Mehdi
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Sound
Online-Zugang:	Volltext bestellen
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