VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration
in Proceedings of INTERSPEECH 2022, 2022
Authors
Haohe Liu, Xubo Liu, Qiuqiang Kong, Qiao Tian, Yan Zhao, DeLiang Wang, Chuanzeng Huang, Yuxuan Wang
Abstract
Speech restoration aims to remove distortions in speech signals. Prior methods mainly focus on a single type of distortion, such as speech denoising or dereverberation. However, speech signals can be degraded by several different distortions simultaneously in the real world. It is thus important to extend speech restoration models to deal with multiple distortions. In this paper, we introduce VocieFixer, a unified framework for high-fidelity speech restoration. VocieFixer restores speech from multiple distortions (e.g., noise, reverberation, clipping) and can expand degraded speech (e.g., noisy speech) with a low bandwidth to 44.1 kHz full-bandwidth high-fidelity speech. We design VoiceFixer based on (1) an analysis stage that predicts intermediate-level features from the degraded speech, and (2) a synthesis stage that generates waveform using a neural vocoder. Both objective and subjective evaluations show that VocieFixer is effective on severely degraded speech, such as real-world historical speech recordings.
Demo
High-fidelity Speech Restoration (on the HiFi-Res test set)
Speaker info
Unprocessed
Baseline_UNet
VoiceFixer
Oracle
Target
33_simulated
Spectrogram
127_simulated
Spectrogram
Speech Enhancement (on the VCTK-Demand test set)
Speaker info
Unprocessed
Enh_UNet
Baseline_UNet
VoiceFixer
Oracle
Target
p232_005
Spectrogram
p257_008
Spectrogram
Speech Dereverberation (DEREV)
Speaker info
Unprocessed
Derev_UNet
GSR_UNet
VF_UNet
Oracle
Target
p361_001
Spectrogram
p363_004
Spectrogram
Speech Declipping (DECLI)
Clipping threshold 0.1
Speaker info
Unprocessed
Declip_UNet
SSPADE
GSR_UNet
VF_UNet
Oracle
Target
p360_001
Spectrogram
Clipping threshold 0.25
Speaker info
Unprocessed
Declip_UNet
SSPADE
Baseline_UNet
VF_UNet
Oracle
Target
p360_001
Spectrogram
Comparison on the restoration of real-world recordings.