32 citations · 118 across the 11 of their papers we have counts for
3 papers · 2 filters
A Neural State-Space Model Approach to Efficient Speech Separation
Chen Chen, Chao-Han Huck Yang, Kai Li +3
In this work, we introduce S4M, a new efficient speech separation framework based on neural state-space models (SSM). Motivated by linear time-invariant systems for sequence modeli…
Differentially Private Adapters for Parameter Efficient Acoustic Modeling
Chun-Wei Ho, Chao-Han Huck Yang, Sabato Marco Siniscalchi
In this work, we devise a parameter-efficient solution to bring differential privacy (DP) guarantees into adaptation of a cross-lingual speech classifier. We investigate a new froz…
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
Li-Jen Yang, Chao-Han Huck Yang, Jen-Tzung Chien
This paper presents a parameter-efficient learning (PEL) to develop a low-resource accent adaptation for text-to-speech (TTS). A resource-efficient adaptation from a frozen pre-tra…