most citedT-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model

6 citations · 13 across the 3 of their papers we have counts for

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eess.AS2022★ 5 cited

Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution

Mingjie Chen, Yanghao Zhou, Heyan Huang +1

It was shown recently that a combination of ASR and TTS models yield highly competitive performance on standard voice conversion tasks such as the Voice Conversion Challenge 2020 (…

eess.AS2020★ 2 cited

Unsupervised Acoustic Unit Representation Learning for Voice Conversion using WaveNet Auto-encoders

Mingjie Chen, Thomas Hain

Unsupervised representation learning of speech has been of keen interest in recent years, which is for example evident in the wide interest of the ZeroSpeech challenges. This work…