Siyuan Feng

Orcid: 0000-0003-2531-8480

Affiliations:
  • Delft University of Technology, Multimedia Computing Group, Netherlands
  • Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong (PhD 2020)


According to our database1, Siyuan Feng authored at least 25 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Towards inclusive automatic speech recognition.
Comput. Speech Lang., March, 2024

2023
Automatic evaluation of spontaneous oral cancer speech using ratings from naive listeners.
Speech Commun., April, 2023

2022
Low-resource automatic speech recognition and error analyses of oral cancer speech.
Speech Commun., 2022

Discovering phonetic inventories with crosslingual automatic speech recognition.
Comput. Speech Lang., 2022

The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
Quantifying Bias in Automatic Speech Recognition.
CoRR, 2021

Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Show and Speak: Directly Synthesize Spoken Description of Images.
Proceedings of the IEEE International Conference on Acoustics, 2021

How Phonotactics Affect Multilingual and Zero-Shot ASR Performance.
Proceedings of the IEEE International Conference on Acoustics, 2021

The effectiveness of self-supervised representation learning in zero-resource subword modeling.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
The effectiveness of unsupervised subword modeling with autoregressive and cross-lingual phone-aware networks.
CoRR, 2020

The CUHK-TUDELFT System for The SLT 2021 Children Speech Recognition Challenge.
CoRR, 2020

Unsupervised Subword Modeling Using Autoregressive Pretraining and Cross-Lingual Phone-Aware Modeling.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Mixture Factorized Auto-Encoder for Unsupervised Hierarchical Deep Factorization of Speech Signal.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Improving Unsupervised Subword Modeling via Disentangled Speech Representation Learning and Transformation.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Adversarial Multi-task Deep Features and Unsupervised Back-end Adaptation for Language Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Disordered Speech Assessment Using Kullback-Leibler Divergence Features with Multi-Task Acoustic Modeling.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Automatic Speech Assessment for People with Aphasia Using TDNN-BLSTM with Multi-Task Learning.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Exploiting Speaker and Phonetic Diversity of Mismatched Language Resources for Unsupervised Subword Modeling.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Improving Cross-Lingual Knowledge Transferability Using Multilingual TDNN-BLSTM with Language-Dependent Pre-Final Layer.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Unsupervised Pattern Discovery from Thematic Speech Archives Based on Multilingual Bottleneck Features.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
On the Linguistic Relevance of Speech Units Learned by Unsupervised Acoustic Modeling.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016
Exploiting language-mismatched phoneme recognizers for unsupervised acoustic modeling.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016


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