DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding.
CoRR, 2024
Generative Context-Aware Fine-Tuning of Self-Supervised Speech Models.
Proceedings of the IEEE International Conference on Acoustics, 2024
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Efficient Inference For Neural Machine Translation.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Robustness against the channel effect in pathological voice detection.
CoRR, 2018
A Study on Speech Enhancement Using Exponent-Only Floating Point Quantized Neural Network (EOFP-QNN).
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
DNN-based Approach to Detect and Classify Pathological Voice.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018