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Free Chinese AIGC course: prompting, agents, image, video, voice, open models.
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View guide →A mental-model-first guide from waveforms to voice systems.
audio-ai-field-guide is an open-source audio project by Ali-hey-0 (Ali-hey-0/audio-ai-field-guide on GitHub). It has 130 GitHub stars and 2 forks, is released under the MIT license, and was last updated on GitHub on 16 July 2026.
Start from the repo README.
Work through waveforms to systems.
ASR, TTS, classification, and more.
Apply the intuition to real projects.
Intuition before implementation.
Full stack of audio AI concepts.
Speech recognition and synthesis covered.
The ML underneath, explained.
Maps to the Hugging Face audio course.
Free learning material.
Download the guide and enter the folder.
git clone https://github.com/Ali-hey-0/audio-ai-field-guide.git
cd audio-ai-field-guideRead through the guide files.
ls && cat README.mdWork the examples in a notebook or script.
# a reading-first repo: no build step neededA mental-model-first guide to Audio AI, at Ali-hey-0/audio-ai-field-guide.
Waveforms, ASR, TTS, classification, and production voice systems.
It is structured learning notes aligned with the HF audio course.
Yes. MIT licensed.
Builders who want audio-AI intuition before code.
Free Chinese AIGC course: prompting, agents, image, video, voice, open models.
Extract any site's design language into reusable rules for AI coders
The hub for audio AI research: papers, open models, benchmarks & datasets across audio LLMs, speech recognition, TTS, music & audio generation.
GPA — one tiny model that does ASR, TTS and voice conversion (General Purpose Audio).
MARS5 speech model from CAMB.AI — clone a voice from 5 seconds of audio with striking prosody
Suno's text-prompted generative audio model: speech, music and sound effects from text prompts
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if audio-ai-field-guide is not the right fit.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.