Neural Speech Phase Prediction Based on Parallel Estimation Architecture and Anti-Wrapping Losses

This paper presents a novel speech phase prediction model which predicts wrapped phase spectra directly from amplitude spectra by neural networks. The proposed model is a cascade of a residual convolutional network and a parallel estimation architecture. The parallel estimation architecture is compo...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autori:	Ai, Yang, Ling, Zhen-Hua
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 04.06.2023
Predmet:	anti-wrapping loss Delays Estimation Iterative algorithms neural network parallel estimation architecture phase wrapping Prediction algorithms Predictive models Signal processing algorithms speech phase prediction Training
ISSN:	2379-190X
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