Bi-Cheng Yan

According to our database1, Bi-Cheng Yan authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition.
CoRR, 2024

2023
Effective Graph-Based Modeling of Articulation Traits for Mispronunciation Detection and Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2023

Preserving Phonemic Distinctions For Ordinal Regression: A Novel Loss Function For Automatic Pronunciation Assessment.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Peppanet: Effective Mispronunciation Detection and Diagnosis Leveraging Phonetic, Phonological, and Acoustic Cues.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Effective Cross-Utterance Language Modeling for Conversational Speech Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

Maximum F1-Score Training for End-to-End Mispronunciation Detection and Diagnosis of L2 English Speech.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Exploring Non-Autoregressive End-to-End Neural Modeling for English Mispronunciation Detection and Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Conversational speech recognition leveraging effective fusion methods for cross-utterance language modeling.
CoRR, 2021

Exploring the Integration of E2E ASR and Pronunciation Modeling for English Mispronunciation Detection.
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing, 2021

End-to-End Mispronunciation Detection and Diagnosis From Raw Waveforms.
Proceedings of the 29th European Signal Processing Conference, 2021

Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

TENET: A Time-Reversal Enhancement Network for Noise-Robust ASR.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling.
Proceedings of the Interspeech 2020, 2020

Exploring Feature Enhancement in The Modulation Spectrum Domain via Ideal Ratio Mask for Robust Speech Recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Modulation spectrum augmentation for robust speech recognition.
Proceedings of the AISS 2019: 2019 International Conference on Advanced Information Science and System, 2019

2018
Investigating Manifold Learning Technique for Robust Speech Recognition.
Proceedings of the 2018 International Conference on Asian Language Processing, 2018

2017
Exploring Low-Dimensional Structures of Modulation Spectra for Robust Speech Recognition.
Proceedings of the Interspeech 2017, 2017

Enhancing feature modulation spectra with dictionary learning approaches for robust speech recognition.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Investigating Siamese LSTM networks for text categorization.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016
The Use of Dictionary Learning Approach for Robustness Speech Recognition.
Int. J. Comput. Linguistics Chin. Lang. Process., 2016

使用字典學習法於強健性語音辨識(The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese].
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing, 2016


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