Zhikang Niu
Orcid: 0009-0002-2709-9381
According to our database1,
Zhikang Niu
authored at least 19 papers
between 2023 and 2025.
Collaborative distances:
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Bibliography
2025
CoRR, October, 2025
CoRR, October, 2025
DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation.
CoRR, October, 2025
UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models.
CoRR, October, 2025
CoRR, September, 2025
CoRR, August, 2025
Accelerating Diffusion-based Text-to-Speech Model Training with Dual Modality Alignment.
CoRR, May, 2025
MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix.
CoRR, May, 2025
CoRR, April, 2025
CoRR, February, 2025
Deep Learning-Based Real-Time Precise Pose Estimation Using Differential Magnetic Signals in the Dual-Robot Processing System.
IEEE Trans. Instrum. Meas., 2025
Accelerating Flow-Matching-Based Text-to-Speech via Empirically Pruned Step Sampling.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025
Accelerating Diffusion-based Text-to-Speech Model Trainingwith Dual Modality Alignment.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025
A Progressive Generation Framework with Speech Pre-trained Model for Expressive Voice Conversion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
VALL-T: Decoder-Only Generative Transducer for Robust and Decoding-Controllable Text-to-Speech.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Proceedings of the IEEE Spoken Language Technology Workshop, 2024
2023
Fast-Hubert: an Efficient Training Framework for Self-Supervised Speech Representation Learning.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023