activity
20232026
most citedAccentBox: Towards High-Fidelity Zero-Shot Accent Generation

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2026

Rethinking Discrete Speech Representation Tokens for Accent Generation

Jinzuomu Zhong, Yi Wang, Korin Richmond +1

Discrete Speech Representation Tokens (DSRTs) have become a foundational component in speech generation. While prior work has extensively studied phonetic and speaker information i…

eess.AS2025★ 3 cited

Pairwise Evaluation of Accent Similarity in Speech Synthesis

Jinzuomu Zhong, Suyuan Liu, Dan Wells +1

Despite growing interest in generating high-fidelity accents, evaluating accent similarity in speech synthesis has been underexplored. We aim to enhance both subjective and objecti…

cs.SD2024★ 8 cited

AccentBox: Towards High-Fidelity Zero-Shot Accent Generation

Jinzuomu Zhong, Korin Richmond, Zhiba Su +1

While recent Zero-Shot Text-to-Speech (ZS-TTS) models have achieved high naturalness and speaker similarity, they fall short in accent fidelity and control. To address this issue,…

cs.SD2024

Prior-agnostic Multi-scale Contrastive Text-Audio Pre-training for Parallelized TTS Frontend Modeling

Quanxiu Wang, Hui Huang, Mingjie Wang +3

Over the past decade, a series of unflagging efforts have been dedicated to developing highly expressive and controllable text-to-speech (TTS) systems. In general, the holistic TTS…

eess.AS2023

Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of SSWP

Jinzuomu Zhong, Yang Li, Hui Huang +6

In expressive and controllable Text-to-Speech (TTS), explicit prosodic features significantly improve the naturalness and controllability of synthesised speech. However, manual pro…