Author

Joonyong Park

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#natural language process... Preprint Aug 2026

Language-Statistical Analysis of Neural Audio Codec Tokens Across Architectures, Corpora, and Noise Conditions

This paper analyzes the token statistics of 13 NACs spanning multi-codebook residual vector quantization, single-codebook VQ, and non-VQ designs, evaluated on three corpora under clean, white-noise, and real-world DEMAND-noise conditions to provide architecture-conditioned conventions for applying language-statistical analysis to NAC tokens.

Joonyong Park, Shinnosuke Takamichi, David M. Chan et al. · 1 citation

#natural language process... Preprint Aug 2026

When Does Predictor-Based RL Align with Human Perception? A Study of Subjective Rewards in Codec-Based Speech Language Models

The results support analyzing subjective speech rewards as predictor-axis-base tuples as predictor-axis-base tuples and provide practical diagnostics for selecting rewards before multi-reward speech post-training.

Joonyong Park, Jerry Li · 0 citations

Preprint Aug 2026

APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization

APT, a software-hardware co-designed accelerator for high-resolution DiTs that leverages attention probabilities as a unified importance metric to jointly optimize computation through fine-grained pruning and adaptive precision scaling, and is evaluated on SOTA DiT models including PixArt, Stable Diffusion 3, and FLUX.

Sungyeob Yoo, Seeyeon Kim, Joonyong Park et al. · 0 citations