Noise-Robust Voice Conversion Using High-Quefrency Boosting via Sub-Band Cepstrum Conversion and Fusion

Noise-Robust Voice Conversion Using High-Quefrency Boosting via Sub-Band Cepstrum Conversion and Fusion

This paper presents a noise-robust voice conversion method with high-quefrency boosting via sub-band cepstrum conversion and fusion based on the bidirectional long short-term memory (BLSTM) neural networks that can convert parameters of vocal tracks of a source speaker into those of a target speaker...

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Bibliographic Details
Main Authors: Xiaokong Miao, Meng Sun, Xiongwei Zhang, Yimin Wang
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Applied Sciences
Subjects:
voice conversion
blstm
statistical filtering
sub-band cepstrum
noise robustness
Online Access:https://www.mdpi.com/2076-3417/10/1/151

Internet

https://www.mdpi.com/2076-3417/10/1/151

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