7 citations · 18 across the 16 of their papers we have counts for
6 papers · 1 filter
Building a Taiwanese Mandarin Spoken Language Model: A First Attempt
Chih-Kai Yang, Yu-Kuan Fu, Chen-An Li +18
This technical report presents our initial attempt to build a spoken large language model (LLM) for Taiwanese Mandarin, specifically tailored to enable real-time, speech-to-speech…
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
Chien-yu Huang, Wei-Chih Chen, Shu-wen Yang +77
Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spo…
Property Neurons in Self-Supervised Speech Transformers
Tzu-Quan Lin, Guan-Ting Lin, Hung-yi Lee +1
There have been many studies on analyzing self-supervised speech Transformers, in particular, with layer-wise analysis. It is, however, desirable to have an approach that can pinpo…
Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models
Yi-Cheng Lin, Tzu-Quan Lin, Chih-Kai Yang +4
Speech Integrated Large Language Models (SILLMs) combine large language models with speech perception to perform diverse tasks, such as emotion recognition to speaker verification,…
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models
Tzu-Quan Lin, Hung-yi Lee, Hao Tang
Self-supervised speech models have shown to be useful for various tasks, but their large size limits the use in devices with low computing power and memory. In this work, we explor…
On the social bias of speech self-supervised models
Yi-Cheng Lin, Tzu-Quan Lin, Hsi-Che Lin +2
Self-supervised learning (SSL) speech models have achieved remarkable performance in various tasks, yet the biased outcomes, especially affecting marginalized groups, raise signifi…