From the 1 of 44 linked papers with an AI index.
6 citations · 6 across the 20 of their papers we have counts for
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BlueMagpie-TTS: A Token-Efficient Tokenizer, Language Model, and TTS for Taiwanese-Accent Code-Switching Speech
Ho Lam Chung, Bo-Xuan Zheng, Cheng-Chieh Huang +8
Off-the-shelf TTS systems are poorly adapted to Taiwanese Mandarin. Their accent defaults to other Mandarin variants, their tokenizers over-segment common Taiwanese text, and their…
Listen, Think, Transcribe: Continuous Latent Test-Time Scaling for ASR
Ho Lam Chung, Yiming Chen, Dau-Cheng Lyu +2
End-to-end ASR models transcribe in a single pass, leaving no room for the decoder to revisit hard inputs. We propose LatentASR, a parameter-efficient method that adds continuous l…
Latent-Mark: An Audio Watermark Robust to Neural Codec Compression
Yen-Shan Chen, Shih-Yu Lai, Ying-Jung Tsou +5
While existing audio watermarking techniques have achieved strong robustness against traditional digital signal processing (DSP) attacks, they remain vulnerable to neural compressi…
Membership Inference Attacks against Large Audio Language Models
Jia-Kai Dong, Yu-Xiang Lin, Hung-Yi Lee
We present the first systematic Membership Inference Attack (MIA) evaluation of LALMs. Using Multi-modal Blind Baselines based on textual, spectral and prosodic features, we demons…
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…
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…