Wen-Chin Huang

According to our database1, Wen-Chin Huang authored at least 20 papers between 2018 and 2021.

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Bibliography

2021
Many-to-Many Voice Transformer Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

EMA2S: An End-to-End Multimodal Articulatory-to-Speech System.
CoRR, 2021

Speech Recognition by Simply Fine-tuning BERT.
CoRR, 2021

2020
Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Examining the effects of developer familiarity on bug fixing.
J. Syst. Softw., 2020

The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans.
CoRR, 2020

Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations.
CoRR, 2020

The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders.
CoRR, 2020

The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS.
CoRR, 2020

Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions.
CoRR, 2020

Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion.
CoRR, 2020

Pretraining Techniques for Sequence-to-Sequence Voice Conversion.
CoRR, 2020

An Empirical Study on Issue Knowledge Transfer from Python to R for Machine Learning Software.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining.
Proceedings of the Interspeech 2020, 2020

2019
The ASVspoof 2019 database.
CoRR, 2019

MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion.
Proceedings of the Interspeech 2019, 2019

Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion.
Proceedings of the Interspeech 2019, 2019

Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion) [In Chinese].
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, 2018

Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018


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