Junrui Ni

According to our database, Junrui Ni authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ProsodyLM: Uncovering the Emerging Prosody Processing Capabilities in Speech Language Models.

Kaizhi Qian, Xulin Fan, Junrui Ni, Slava Shechtman, Mark Hasegawa-Johnson, Chuang Gan, Yang Zhang

CoRR, July, 2025

2024

Towards Unsupervised Speech Recognition Without Pronunciation Models.

Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo

CoRR, 2024

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data.

Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Listen, Decipher and Sign: Toward Unsupervised Speech-to-Sign Language Recognition.

Liming Wang, Junrui Ni, Heting Gao, Jialu Li, Kai Chieh Chang, Xulin Fan, Junkai Wu, Mark Hasegawa-Johnson, Chang Dong Yoo

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Domain Generalization for Language-Independent Automatic Speech Recognition.

Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson

Frontiers Artif. Intell., 2022

Improving Self-Supervised Speech Representations by Disentangling Speakers.

Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang

CoRR, 2022

Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition.

Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models.

Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers.

Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang

Proceedings of the International Conference on Machine Learning, 2022

2021

Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding.

Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2019

The Time-Course of Phoneme Category Adaptation in Deep Neural Networks.

Junrui Ni, Mark Hasegawa-Johnson, Odette Scharenborg

Proceedings of the Statistical Language and Speech Processing, 2019