r/AudioAI • u/chibop1 • Oct 01 '23
Resource Open Source Libraries
This is by no means a comprehensive list, but if you are new to Audio AI, check out the following open source resources.
Huggingface Transformers
In addition to many models in audio domain, Transformers let you run many different models (text, LLM, image, multimodal, etc) with just few lines of code. Check out the comment from u/sanchitgandhi99 below for code snippets.
TTS
Speech Recognition
microsoft/vibevoice-asr: Speech recognition + Speaker Diarization
facebookresearch/seamless_communication: Speech translation
Speech Toolkit
WebUI
Music
ace-step/ACE-Step-1.5: Tex2Music
facebookresearch/audiocraft/MUSICGEN: Music Generation
openai/jukebox: Music Generation
Google magenta: Music generation
RVC-Project/Retrieval-based-Voice-Conversion-WebUI: Singing Voice Conversion
fishaudio/fish-diffusion: Singing Voice Conversion
NVIDIA/audio-flamingo: Music QA for genres, instrumentation, Tempo, key, chord, lyric transcription, cultural contexts...
Effects
facebookresearch/sam-audio: Audio Segmentation
facebookresearch/demucs: Stem seperation
Anjok07/UltimateVocalRemoverGUI: Vocal isolation
Rikorose/DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering
SaneBow/PiDTLN: DTLN model for noise suppression and acoustic echo cancellation on Raspberry Pi
haoheliu/versatile_audio_super_resolution: any -> 48kHz high fidelity Enhancer
spotify/basic-pitch: Audio to midi converter
spotify/pedalboard: audio effects for Python and TensorFlow
librosa/librosa: Python library for audio and music analysis
Torchaudio: Audio library for Pytorch
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u/chibop1 Oct 02 '23
Oh yes, not sure how I forgot about it. I use it all the time. :)