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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser:	Ai, Yang, Ling, Zhen-Hua
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 04.06.2023
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!