Papers by Jionghao Bai

3 papers
VoxpopuliTTS: a large-scale multilingual TTS corpus for zero-shot speech generation (2025.coling-main)

Copied to clipboard

Challenge: Existing multilingual TTS datasets are limited in speech generation fields due to lack of quality data.
Approach: They propose to use 30,000 hours of high-quality speech data across 3 languages . they filter out low-quality text-text pairs and concatenate short transcripts .
Outcome: The proposed dataset comprises 30,000 hours of high-quality speech data, across 3 languages with multiple speakers and styles, suitable for various speech tasks such as TTS and ASR.
ART: rule bAsed futuRe-inference deducTion (2023.emnlp-main)

Copied to clipboard

Challenge: Existing studies focus on language-based premises and deduce valid conclusions from visual observations.
Approach: They propose a rule-based deductive reasoning task that uses video to deduce the correct future event . they use commonsense knowledge to annotate video and a strong baseline to conduct reasoning .
Outcome: Empirical studies validate the rationality of ARTNet in deductive reasoning upon visual observations . ART is a method that rigorously follows a set of explicit constraints to deduce valid conclusions from empirical facts .
Speech-to-Speech Translation with Discrete-Unit-Based Style Transfer (2024.acl-srw)

Copied to clipboard

Challenge: Existing methods to translate spoken utterances from one language to another are unable to preserve speaker timbre of source speech.
Approach: They propose a pipeline with style-transfer capability on the basis of self-supervised speech representations and codec units.
Outcome: The proposed model achieves zero-shot cross-lingual style transfer on previously unseen source languages.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations