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researcher

Jen-Cheng Hou

3 papers hereh-index 8395 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • eess.AS1

identity via Semantic Scholar / OpenAlex

works on
audio-visual speech enhancement 1large language models 1reinforcement learning 1reward modeling 1speech quality assessment 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

cs.SD2026

LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement

Chih-Ning Chen, Jen-Cheng Hou, Hsin-Min Wang +3

The paper introduces a reinforcement learning framework for audio‑visual speech enhancement that uses a large language model to generate natural‑language feedback, which is convert…

eess.AS2025

Leveraging Self-Supervised Audio-Visual Pretrained Models to Improve Vocoded Speech Intelligibility in Cochlear Implant Simulation

Richard Lee Lai, Jen-Cheng Hou, I-Chun Chern +6

Individuals with hearing impairments face challenges in their ability to comprehend speech, particularly in noisy environments. The aim of this study is to explore the effectivenes…

cs.SD2025

Bridging The Multi-Modality Gaps of Audio, Visual and Linguistic for Speech Enhancement

Meng-Ping Lin, Jen-Cheng Hou, Chia-Wei Chen +4

Speech enhancement (SE) aims to improve the quality and intelligibility of speech in noisy environments. Recent studies have shown that incorporating visual cues in audio signal pr…

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