activity
20242026
most citedTowards audio language modeling -- an overview

6 citations · 6 across the 14 of their papers we have counts for

collaborators

14 papers

eess.AS2026

Listen, Critique, and Refine: RL-Based Self-Refinement for Instruction-Following Speech Synthesis

Chee-En Yu, Yi-Cheng Lin, Sung-Feng Huang +4

Large Audio Language Models (LALMs) can follow diverse instructions to synthesize speech in specified styles. However, complex instructions that require simultaneous control over p…

cs.SD2026

Fréchet Distance Loss on Speech Representations for Text-to-Speech Synthesis

Ho-Lam Chung, Kuan-Po Huang, Bo-Ru Lu +1

Few-step diffusion and flow-matching text-to-speech (TTS) models are usually trained with local objectives, such as conditional flow matching, reconstruction, and stop prediction.…

eess.AS2026

FdAudio: MeanFlow-Anchored Fréchet-Distance Post-Training for One-Step Text-to-Audio Generation

Kuan-Po Huang, Bo-Ru Lu, Ho-Lam Chung +2

While recent few-step sampling text-to-audio generation models like MeanAudio substantially accelerate generation by modeling average velocities, their strict one-step generation q…

cs.SD2026

Escaping the Procrustean Bed: Groupwise Orthogonal Connectors for Audio-Language Models

Ho-Lam Chung, Ke-Han Lu, Yi-Cheng Lin +3

Audio-language models compress a speech encoder's output through a Querying Transformer (Q-Former) connector before feeding it to a large language model. We identify two failures i…

cs.SD2026

Context-Aware ASR for Mandarin Technical Lectures

Ho-Lam Chung, Yiming Chen, Hung-yi Lee

Technical lectures mix Mandarin speech with English technical terms. These terms carry the core meaning of the lecture, yet they occupy few characters. Character error rate (CER) t…

cs.SD2026

LLM-Codec: Neural Audio Codec Meets Language Model Objectives

Ho-Lam Chung, Yiming Chen, Hung-yi Lee

Neural audio codecs are widely used as tokenizers for spoken language models, but they are optimized for waveform reconstruction rather than autoregressive prediction. This mismatc…

cs.SD2026

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling

Hao-Hui Xie, Ho-Lam Chung, Yi-Cheng Lin +4

Large Audio-Language Models (LALMs) typically struggle with localized dialectal prosody due to the scarcity of specialized corpora. We present TW-Sound580K, a Taiwanese audio-text…

eess.AS2025

TAU: A Benchmark for Cultural Sound Understanding Beyond Semantics

Yi-Cheng Lin, Yu-Hua Chen, Jia-Kai Dong +12

Large audio-language models are advancing rapidly, yet most evaluations emphasize speech or globally sourced sounds, overlooking culturally distinctive cues. This gap raises a crit…

cs.CL2025

A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data

Cheng-Kang Chou, Chan-Jan Hsu, Ho-Lam Chung +5

We propose a self-refining framework that enhances ASR performance with only unlabeled datasets. The process starts with an existing ASR model generating pseudo-labels on unannotat…

cs.CL2025

BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights

Chan-Jan Hsu, Yi-Cheng Lin, Chia-Chun Lin +10

We present BreezyVoice, a Text-to-Speech (TTS) system specifically adapted for Taiwanese Mandarin, highlighting phonetic control abilities to address the unique challenges of polyp…

cs.CL2024

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…

eess.AS2024

Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models

Haibin Wu, Xuanjun Chen, Yi-Cheng Lin +13

Neural audio codec models are becoming increasingly important as they serve as tokenizers for audio, enabling efficient transmission or facilitating speech language modeling. The i…

eess.AS2024★ 6 cited

Towards audio language modeling -- an overview

Haibin Wu, Xuanjun Chen, Yi-Cheng Lin +4

Neural audio codecs are initially introduced to compress audio data into compact codes to reduce transmission latency. Researchers recently discovered the potential of codecs as su…

eess.AS2024

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models

Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin +7

The sound codec's dual roles in minimizing data transmission latency and serving as tokenizers underscore its critical importance. Recent years have witnessed significant developme…