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From the 1 of 7 linked papers with an AI index.

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7 papers

eess.AS2026

BAMU: Bitstream-Aware Marginal-Utility Allocation for Frozen Pretrained Neural Speech Codecs

Mingyu Zhao, Zijian Lin, Yutang Feng +6

Pretrained neural speech codecs typically use a fixed residual vector quantization (RVQ) depth for all frames, ignoring temporal variation in quantization difficulty. We propose BA…

cs.SD2026

Qwen-Music Technical Report

Jin Xu, Kangdi Wang, Ruibin Yuan +24

Qwen-Music is a large language model‑based system that generates high‑fidelity songs with vocals from text prompts or re‑imagines existing tracks, using a semantic token representa…

eess.AS2026

SPG-Codec: Exploring the Role and Boundaries of Semantic Priors in Ultra-Low-Bitrate Neural Speech Coding

Mingyu Zhao, Zijian Lin, Kun Wei +1

Conventional neural speech codecs suffer from severe intelligibility degradation at ultra-low bitrates, where the bottleneck transitions from acoustic distortion to semantic loss.…

cs.CL2026

TTS-PRISM: A Perceptual Reasoning and Interpretable Speech Model for Fine-Grained Diagnosis

Xi Wang, Jie Wang, Xingchen Song +8

While generative text-to-speech (TTS) models approach human-level quality, monolithic metrics fail to diagnose fine-grained acoustic artifacts or explain perceptual collapse. To ad…

cs.SD2026

A Scalable Pipeline for Enabling Non-Verbal Speech Generation and Understanding

Runchuan Ye, Yixuan Zhou, Renjie Yu +6

Non-verbal Vocalizations (NVs), such as laughter and sighs, are vital for conveying emotion and intention in human speech, yet most existing speech systems neglect them, which seve…

cs.SD2025

Accelerating Autoregressive Speech Synthesis Inference With Speech Speculative Decoding

Zijian Lin, Yang Zhang, Yougen Yuan +5

Modern autoregressive speech synthesis models leveraging language models have demonstrated remarkable performance. However, the sequential nature of next token prediction in these…