Portfolio item number 1
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Portfolio item number 1
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Portfolio item number 2
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Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of Speech-Silence and Word-Punctuation
Jinzuomu Zhong, Yang Li, Hui Huang, Korin Richmond, Jie Liu, Zhiba Su, Jing Guo, Benlai Tang, Fengjie Zhu
Published in Interspeech 2024
Prosody Annotation, Contrastive Learning, Controllable Speech Synthesis
AccentBox: Towards High-Fidelity Zero-Shot Accent Generation
Jinzuomu Zhong, Korin Richmond, Zhiba Su, Siqi Sun
Published in ICASSP 2025
Accent Generation, Zero-Shot TTS, Accent Identification
Paper | Arxiv | Demo | Code | MSc Thesis
Pairwise Evaluation of Accent Similarity in Speech Synthesis
Jinzuomu Zhong, Suyuan Liu, Dan Wells, Korin Richmond
Published in Interspeech 2025
Speech Synthesis, Accent, Preference Evaluation, Listening Test, Laboratory Phonetics
Accent Generation - Challenges and Progress
Published:
“AI for All” is a special public engagement event with interactive exhibitions, live demonstrations, and student-led activities. This event is hosted by the Centre for Doctoral Training in Designing Responsible Natural Language Processing together with Edinburgh Science Festival and Edinburgh Futures Institute.
Checkout my Demo and Poster (thanks to the brilliant design by Prof. John Vines)!
Accent Hallucination in Zero-Shot Text-to-Speech
Published:
UKRI Centres for Doctoral Training in NLP Partners Summit 2025 is a cross-sectoral event for doctoral students, leading academics, and industry partners, showcasing cutting-edge NLP research with research posters and project presentations. This event is hosted by the Centre for Doctoral Training in Designing Responsible Natural Language Processing and Centre for Doctoral Training in Natural Language Processing at the University of Edinburgh.
Checkout my Poster!
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.