4 papers · 1 filter
Encoder Awakening via Adapters: Effective Domain-Adaptive Fine-tuning of Speech-LLMs
Mohan Shi, Zilai Wang, Natarajan Balaji Shankar +3
Speech Large Language Models (Speech-LLMs), typically built from a pre-trained speech encoder, a modality projector, and an LLM fine-tuned with Low-Rank Adapters (LoRA), have shown…
Entropy-Aware Domain-Routed Mixture-of-Experts Speech-LLM Framework: A Case Study of Multi-Domain Child-Adult ASR
Mohan Shi, Kaiyuan Zhang, Zilai Wang +3
While Speech Large Language Models (Speech-LLMs) have achieved strong performance on adult Automatic Speech Recognition (ASR), their effectiveness on child speech remains under-exp…
STACodec: Semantic Token Assignment for Balancing Acoustic Fidelity and Semantic Information in Audio Codecs
Kaiyuan Zhang, Mohan Shi, Eray Eren +3
Neural audio codecs are widely used for audio compression and can be integrated into token-based language models. Traditional codecs preserve acoustic details well but lack semanti…
ProMode: A Speech Prosody Model Conditioned on Acoustic and Textual Inputs
Eray Eren, Qingju Liu, Hyeongwoo Kim +2
Prosody conveys rich emotional and semantic information of the speech signal as well as individual idiosyncrasies. We propose a stand-alone model that maps text-to-prosodic feature…