activity
20232025
most citedExploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2025

Speech-DRAME: A Framework for Human-Aligned Benchmarks in Speech Role-Play

Jiatong Shi, Jionghao Han, Yichen Lu +6

Role-play has become a key testbed for generative models, expanding from text-only dialogue to multimodal interaction. Extending role-play to speech captures prosody, emotion, and…

cs.AI2025

ViDove: A Translation Agent System with Multimodal Context and Memory-Augmented Reasoning

Yichen Lu, Wei Dai, Jiaen Liu +9

LLM-based translation agents have achieved highly human-like translation results and are capable of handling longer and more complex contexts with greater efficiency. However, they…

eess.AS2024

Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization

Yihan Wu, Yichen Lu, Yifan Peng +3

Audiovisual Automatic Speech Recognition (AV-ASR) aims to improve speech recognition accuracy by leveraging visual signals. It is particularly challenging in unconstrained real-wor…

eess.AS2024

FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model

Yichen Lu, Jiaqi Song, Chao-Han Huck Yang +1

In this study, we aim to explore Multitask Speech Language Model (SpeechLM) efficient inference via token reduction. Unlike other modalities such as vision or text, speech has uniq…

eess.AS2024

Robust Audiovisual Speech Recognition Models with Mixture-of-Experts

Yihan Wu, Yifan Peng, Yichen Lu +3

Visual signals can enhance audiovisual speech recognition accuracy by providing additional contextual information. Given the complexity of visual signals, an audiovisual speech rec…

eess.AS2024

SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data

Yichen Lu, Jiaqi Song, Xuankai Chang +3

In this work, we present SynesLM, an unified model which can perform three multimodal language understanding tasks: audio-visual automatic speech recognition(AV-ASR) and visual-aid…

cs.CL2023★ 2 cited

Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study

Xuankai Chang, Brian Yan, Kwanghee Choi +14

Speech signals, typically sampled at rates in the tens of thousands per second, contain redundancies, evoking inefficiencies in sequence modeling. High-dimensional speech features…