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20242026
most citedA Survey on Speech Large Language Models for Understanding

6 citations · 7 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.SD2026

dots.tts.edit: Precisely Controlled Speech Editing with a Continuous Autoregressive Model

Hankun Wang, Bohan Li, Shi Lian +7

Speech editing for content creation requires precise control over both what an edit should do and where it should apply. Free-form natural language provides a flexible interface fo…

cs.SD2026

TokAN: Accent Normalization Using Self-Supervised Speech Tokens

Qibing Bai, Shuai Wang, Yuhan Du +3

Accent normalization (AN) seeks to convert non-native (L2) accented speech into standard (L1) speech while preserving speaker identity. The current techniques either require natura…

cs.SD2026

dots.tts Technical Report

Shi Lian, Changtao Li, Bohan Li +6

We present dotstts, a 2B-parameter continuous autoregressive text-to-speech (TTS) foundation model that models speech in a continuous latent space. Compared with existing contin…

cs.SD2026

RAS: a Reliability Oriented Metric for Automatic Speech Recognition

Wenbin Huang, Yuhang Qiu, Bohan Li +5

Automatic speech recognition systems often produce confident yet incorrect transcriptions under noisy or ambiguous conditions, which can be misleading for both users and downstream…

cs.SD2025

ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models

Bohan Li, Wenbin Huang, Yuhang Qiu +7

Large Audio Language Models (LALMs), which couple acoustic perception with large language models (LLMs) to extract and understand diverse information from audio, have attracted int…

cs.SD2025

Robust and Efficient Autoregressive Speech Synthesis with Dynamic Chunk-wise Prediction Policy

Bohan Li, Zhihan Li, Haoran Wang +5

Recently, autoregressive (AR) language models have emerged as a dominant approach in speech synthesis, offering expressive generation and scalable training. However, conventional A…

cs.SD2025

Towards General Discrete Speech Codec for Complex Acoustic Environments: A Study of Reconstruction and Downstream Task Consistency

Haoran Wang, Guanyu Chen, Bohan Li +5

Neural speech codecs excel in reconstructing clean speech signals; however, their efficacy in complex acoustic environments and downstream signal processing tasks remains underexpl…

cs.SD2024

On the Effectiveness of Acoustic BPE in Decoder-Only TTS

Bohan Li, Feiyu Shen, Yiwei Guo +3

Discretizing speech into tokens and generating them by a decoder-only model have been a promising direction for text-to-speech (TTS) and spoken language modeling (SLM). To shorten…