Ali-hey-0 / audio-ai-field-guide
A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transformer architectures (CTC/Seq2Seq), fine-tuning, and real-world pipelines like voice assistants and meeting transcription. Bilingual (EN/FA).
Why this job: says: tts, transcription; topics: text-to-speech, tts, speech-recognition, whisper, asr, speech-to-text, voice-assistant
What it does
Before any unit-level detail, internalize this branching pipeline. Nearly every audio ML system on Earth is one of these two directions:
Get started
No single install command. Read the steps in the README (opens in new tab)
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- Last commit 3 months ago
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- MIT
- Allows business use
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- Contributors
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- Last 90 days
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More: topics and project record
Topics
- asr
- audio-classification
- audio-processing
- deep-learning
- huggingface
- learning-notes
- meachine-learning
- mental-models
- nlp
- persian
- pytorch
- speaker-diarization
Project record
- JobSpeech and audio
- StatusListed
- Commits8
- Forks2
- Watching0
- Stars in 28 days0
- CreatedJul 16, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026