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...

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Bibliographic Details
Main Authors: Qiang Zhu, Zhong Wang, Yunfeng Dou, Jian Zhou
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/15/2/68