audio-ai-hub

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汇总音频 AI 领域的论文、开源模型、基准和数据集,覆盖音频大模型、语音识别、TTS、音乐与音频生成,方便按方向查找资料。

The hub for audio AI research: papers, open models, benchmarks & datasets across audio LLMs, speech recognition, TTS, music & audio generation.

暂无版本965star +2 / 7 天56fork同步于 2026-11-11 05:49 UTC

怎么上手

由 README 提炼,执行前请确认
python3 format_input.py
硬件要求按 README 说明

README 未说明

支持 Apple Silicon
下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

由 README 自动翻译提炼

音频 AI 研究资源索引库,汇总论文、开源模型、基准与数据集,帮你快速定位可用方案

汇总音频 AI 领域的论文、开源模型、基准和数据集,覆盖音频大模型、语音识别、TTS、音乐与音频生成,方便按方向查找资料。

核心能力

  • 收录 129 条条目,覆盖 11 个音频 AI 分类
  • 按 GitHub 星标每周刷新 Top 8 精选项目
  • 提供可交互站点,支持搜索、分类筛选与按星标或日期排序
  • 每条目以 items/<缩写>.json 维护,脚本自动生成 README 与站点数据
  • 支持通过 issue 表单提交论文建议,无需自己提 PR

容易踩的坑

这是资源索引仓库,本身不含模型推理代码,无法直接运行音频任务;新增条目需按 schema.json 编写 items/<缩写>.json 后运行脚本,否则 CI 会因 README 不同步而失败;README 只是快照,完整检索与排序需访问在线站点

内容由模型根据 README 生成,可能不完整或不准确,以官方文档为准。看原文 README

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    README 原文

    未翻译

    🎧 audio-ai-hub

    The hub for audio AI research. Curated papers, open models, benchmarks and datasets across audio LLMs · speech recognition · speech synthesis · music & audio generation.

    129 entries · 11 categories · latest: 2026-06

    👉 Browse the interactive hub → · Contribute · Suggest a paper

    The page below is a quick snapshot. For search, filtering by category and sorting by stars or date, the live site is much faster than scrolling this README.


    ⭐ Featured

    Top 8 by GitHub stars — refreshed weekly by .github/workflows/refresh-stars.yml.

    #ProjectStarsWhat it does
    1Whisper⭐ 111k+Whisper is OpenAI's open-source speech recognition model trained on 680K hours of multilingual and multitask supervised data from the web.
    2VoxCPM2⭐ 40k+VoxCPM2 is a fully open-source 2B-parameter multilingual, controllable speech generation foundation model extending VoxCPM's hierarchical…
    3MMS⭐ 32k+MMS (Massively Multilingual Speech) extends speech foundation models (wav2vec 2.0) to 1,107 languages for ASR and adds TTS and language i…
    4MiniCPM-o⭐ 27k+MiniCPM-o 4.5 is OpenBMB's compact (8B-class) full-duplex omni-modal LLM supporting real-time vision, speech, and text interaction with l…
    5IndexTTS⭐ 24k+IndexTTS is Bilibili's industrial-grade zero-shot TTS system optimised for production scenarios — controllable prosody, low-latency infer…
    6CosyVoice 3⭐ 24k+CosyVoice 3 scales the CosyVoice TTS stack with significantly larger pre-training data and a dedicated post-training stage, targeting in-…
    7CosyVoice 2⭐ 24k+CosyVoice 2 is Alibaba's streaming TTS LLM, combining a unified speech tokenizer with a streaming-friendly LLM backbone to enable bidirec…
    8MusicGen⭐ 23k+MusicGen is Meta's single-stage autoregressive transformer for controllable text-conditioned music generation, operating over discrete En…

    🆕 Recently added

    The 10 most recent entries by date. See the interactive site for everything else.

    • 2026-06 · ACA-SER — A probing study testing whether instruction-following audio language models use explicit acoustic concept tokens (six interpretable cues derived from the eGeMAPS feature set: en…
    • 2026-06 · AVSR-Gen — Introduces MV2LRS3, a controlled unseen test set subsampled from MultiVSR to strictly match the acoustic, visual, and demographic distribution of LRS3, and shows that five state…
    • 2026-06 · Audio-Oscar — Audio-Oscar is a multi-agent framework that coordinates specialist agents (character and voice design, speech generation, fine-grained timeline planning, model selection, non-sp…
    • 2026-06 · CogAudio-LLM — CogAudio-LLM is a cognitive affective reasoning framework for audio language models that counters textual semantic dominance over acoustic nuance.
    • 2026-06 · DSFA — Proposes Domain-Shift Feature Augmentation (DSFA), which turns deterministic feature statistics into stochastic distributions during fine-tuning to simulate in-the-wild variatio…
    • 2026-06 · KIT-IWSLT2026 — KIT's cross-lingual voice cloning system for the IWSLT 2026 track, built on the multilingual TTS model FishAudio-S2-Pro.
    • 2026-06 · VoxCPM2 — VoxCPM2 is a fully open-source 2B-parameter multilingual, controllable speech generation foundation model extending VoxCPM's hierarchical diffusion-autoregressive paradigm.
    • 2026-06 · dots.tts — dots.tts is a 2B-parameter continuous autoregressive TTS foundation model that models speech in a continuous latent space, combining an AudioVAE trained with multiple objectives…
    • 2026-05 · BEA-Dialogue+ — BEA-Dialogue+ is an expanded conversational Hungarian ASR corpus that relaxes the strictly speaker-disjoint split of BEA-Dialogue while preserving separation of the primary spea…
    • 2026-05 · Chatterbox-Flash — Chatterbox-Flash is a zero-shot TTS model created by fine-tuning a pretrained autoregressive TTS decoder into a block-diffusion decoder, enabling parallel token generation withi…

    📚 What's inside

    CategoryEntries
    Model and Methods60
    Speech Recognition6
    Speech Synthesis13
    Audio Generation9
    Benchmark19
    Dataset Resource3
    Multimodal6
    Survey4
    Study3
    Safety3
    Chatbot3
    Total129

    Each row links into the live site with the corresponding category filter pre-applied.

    🤝 Contributing

    Add an items/<Abbreviation>.json (template in schema.json), run python3 format_input.py to regenerate the README and site data, and open a PR. CI validates JSON, checks README sync, and the site rebuilds automatically on merge. Full guide: CONTRIBUTING.md.

    Don't want to write a PR yourself? Suggest a paper via the issue form and a maintainer will add it.

    📑 Citation

    If this hub is useful in your work, please cite it — metadata is in CITATION.cff (GitHub's "Cite this repository" button on the sidebar uses it).

    🙏 Contributors

    Thanks to zwenyu, Yuan-ManX, chaoweihuang, Liu-Tianchi, Sakshi113, hbwu-ntu, potsawee, czwxian, marianasignal, and many others who suggested entries or opened PRs.

    Star History Chart