1 citations · 1 across the 3 of their papers we have counts for
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Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus
Szu-Jui Chen, John H. L. Hansen
Using self-supervised learning (SSL) models has significantly improved performance for downstream speech tasks, surpassing the capabilities of traditional hand-crafted features. Th…
Emotion-Aware Prefix: Towards Explicit Emotion Control in Voice Conversion Models
Haoyuan Yang, Mu Yang, Jiamin Xie +2
Recent advances in zero-shot voice conversion have exhibited potential in emotion control, yet the performance is suboptimal or inconsistent due to their limited expressive capacit…
Bridging the Modality Gap: Softly Discretizing Audio Representation for LLM-based Automatic Speech Recognition
Mu Yang, Szu-Jui Chen, Jiamin Xie +1
One challenge of integrating speech input with large language models (LLMs) stems from the discrepancy between the continuous nature of audio data and the discrete token-based para…
Student-Teacher Learning for BLSTM Mask-based Speech Enhancement
Aswin Shanmugam Subramanian, Szu-Jui Chen, Shinji Watanabe
Spectral mask estimation using bidirectional long short-term memory (BLSTM) neural networks has been widely used in various speech enhancement applications, and it has achieved gre…