Yonghe Wang

According to our database, Yonghe Wang authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Improving End-to-End Speech Recognition Through Conditional Cross-Modal Knowledge Distillation with Language Model.

Yuan Li, Yonghe Wang, Feilong Bao, Zhenjie Gao, Guanglai Gao, Wenjun Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

Efficient Speech-to-Text Translation: Progressive Pruning for Accelerated Speech Pre-trained Model.

Nan Chen, Yonghe Wang, Xiangdong Su, Feilong Bao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

A Comparative Study on Selecting Acoustic Modeling Units for WFST-based Mongolian Speech Recognition.

Yonghe Wang, Feilong Bao, Guanglai Gao

ACM Trans. Asian Low Resour. Lang. Inf. Process., October, 2023

Noise-Separated Adaptive Feature Distillation for Robust Speech Recognition.

Honglin Qu, Xiangdong Su, Yonghe Wang, Xiang Hao, Guanglai Gao

IEEE Signal Process. Lett., 2023

2022

MNASR: A Free Speech Corpus For Mongolian Speech Recognition And Accompanied Baselines.

Yihao Wu, Yonghe Wang, Hui Zhang, Feilong Bao, Guanglai Gao

Proceedings of the 25th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques, 2022

Alignment-Learning Based Single-Step Decoding for Accurate and Fast Non-Autoregressive Speech Recognition.

Yonghe Wang, Rui Liu, Feilong Bao, Hui Zhang, Guanglai Gao

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Soft-BAC: Soft Bidirectional Alignment Cost for End-to-End Automatic Speech Recognition.

Yonghe Wang, Hui Zhang, Feilong Bao, Guanglai Gao

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Joint Alignment Learning-Attention Based Model for Grapheme-to-Phoneme Conversion.

Yonghe Wang, Feilong Bao, Hui Zhang, Guanglai Gao

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Research on Khalkha Dialect Mongolian Speech Recognition Acoustic Model Based on Weight Transfer.

Linyan Shi, Feilong Bao, Yonghe Wang, Guanglai Gao

Proceedings of the Natural Language Processing and Chinese Computing, 2019

2018

Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism.

Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model.

Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Research on Transfer Learning for Khalkha Mongolian Speech Recognition Based on TDNN.

Linyan Shi, Feilong Bao, Yonghe Wang, Guanglai Gao

Proceedings of the 2018 International Conference on Asian Language Processing, 2018

A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction.

Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Research on Mongolian Speech Recognition Based on FSMN.

Yonghe Wang, Feilong Bao, Hongwei Zhang, Guanglai Gao

Proceedings of the Natural Language Processing and Chinese Computing, 2017