Disentangling Speaker Representations from Intuitive Prosodic Features for Speaker-Adaptative and Prosody-Controllable Speech Synthesis

In this paper, we propose a method of speaker-adaptative and prosody-controllable speech synthesis with a disentanglement between intuitive prosodic features and speaker representations. In this method, the intuitive prosodic features include utterance-level pitch, pitch range, speak rate and energy. A residual speaker information encoder with a set of adversarial classifiers is designed to extract the speaker characteristics that can’t be described by these intuitive prosodic features. Further, the outputs of the residual speaker information encoder are concatenated with intuitive prosodic features to obtain complete speaker representations for acoustic feature prediction. Experimental results have demonstrated that our proposed method can synthesize speech with better naturalness and higher prosody controllability than its counterpart without the disentanglement.

Authors

Institutions

Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/apsipaasc63619.2025.10849063
Citations
1
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disentangling Speaker Representations from Intuitive Prosodic Features for Speaker-Adaptative and Prosody-Controllable Speech Synthesis

Pengyu Cheng, Zhen-Hua Ling, Meng Meng, Yujun Wang
1 citations
Speech Recognition and Synthesis
0.35
article

Disentangling Speaker Representations from Intuitive Prosodic Features for Speaker-Adaptative and Prosody-Controllable Speech Synthesis

Pengyu Cheng, Zhen-Hua Ling, Meng Meng, Yujun Wang
article en
1 citations

Abstract

In this paper, we propose a method of speaker-adaptative and prosody-controllable speech synthesis with a disentanglement between intuitive prosodic features and speaker representations. In this method, the intuitive prosodic features include utterance-level pitch, pitch range, speak rate and energy. A residual speaker information encoder with a set of adversarial classifiers is designed to extract the speaker characteristics that can’t be described by these intuitive prosodic features. Further, the outputs of the residual speaker information encoder are concatenated with intuitive prosodic features to obtain complete speaker representations for acoustic feature prediction. Experimental results have demonstrated that our proposed method can synthesize speech with better naturalness and higher prosody controllability than its counterpart without the disentanglement.

University of Science and Technology of China (CN)
Reduced inequalities
Openalex Percentile: Top 30%
Speech Recognition and Synthesis
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Disentangling Speaker Representations from Intuitive Prosodic Features for Speaker-Adaptative and Prosody-Controllable Speech Synthesis — Pengyu Cheng, Zhen-Hua Ling, et al. · (2024) | TGRS Research Map | TGRS