32 citations · 118 across the 11 of their papers we have counts for
6 papers · 1 filter
How to Estimate Model Transferability of Pre-Trained Speech Models?
Zih-Ching Chen, Chao-Han Huck Yang, Bo Li +6
In this work, we introduce a "score-based assessment" framework for estimating the transferability of pre-trained speech models (PSMs) for fine-tuning target tasks. We leverage upo…
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models
Pin-Jui Ku, Chao-Han Huck Yang, Sabato Marco Siniscalchi +1
We propose a multi-dimensional structured state space (S4) approach to speech enhancement. To better capture the spectral dependencies across the frequency axis, we focus on modify…
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…
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model
Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan +3
In this work, we explore Parameter-Efficient-Learning (PEL) techniques to repurpose a General-Purpose-Speech (GSM) model for Arabic dialect identification (ADI). Specifically, we i…