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Fengping Wang

4 accepted papers

2025

DetailTTS: Learning Residual Detail Information for Zero-shot Text-to-speech

ICASSP 2025accepted

Traditional text-to-speech (TTS) systems often face challenges in aligning text and speech, leading to the omission of critical linguistic and acoustic details. This misalignment creates an information gap, which existing methods attempt to address by incorporating additional inputs, but these often…

Cited by 0SourceScholar
2024

Concss: Contrastive-based Context Comprehension for Dialogue-Appropriate Prosody in Conversational Speech Synthesis

ICASSP 2024accepted

Conversational speech synthesis (CSS) incorporates historical dialogue as supplementary information with the aim of generating speech that has dialogue-appropriate prosody. While previous methods have already delved into enhancing context comprehension, context representation still lacks effective r…

Cited by 0SourceScholar
2023

M2-CTTS: End-to-End Multi-Scale Multi-Modal Conversational Text-to-Speech Synthesis

ICASSP 2023accepted

Conversational text-to-speech (TTS) aims to synthesize speech with proper prosody of reply based on the historical conversation. However, it is still a challenge to comprehensively model the conversation, and a majority of conversational TTS systems only focus on extracting global information and om…

Cited by 0SourceScholar