Whispered Speech Conversion Based on the Inversion of Mel Frequency Cepstral Coefficient Features

A conversion method based on the inversion of Mel frequency cepstral coefficient (MFCC) features was proposed to convert whispered speech into normal speech. First, the MFCC features of whispered speech and normal speech were extracted and a matching relation between the MFCC feature parameters of w...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Qiang Zhu, Zhong Wang, Yunfeng Dou, Jian Zhou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-02-01
Schriftenreihe:	Algorithms
Schlagworte:	whispered speech conversion MFCC feature inversion Gaussian mixture model cepstral distortion
Online-Zugang:	https://www.mdpi.com/1999-4893/15/2/68
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