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pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
★ 10,6 mil estrelasMIT
Ver o guia →torch-log-wmse é um projeto de música com IA de código aberto de crlandsc (crlandsc/torch-log-wmse no GitHub). Tem 50 estrelas no GitHub e 1 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 1 de setembro de 2026.
An audio quality metric and loss for training cleaner models.
Add it to your training environment.
Use it as a loss or metric.
Configure digital-silence behavior.
Optimize your audio model with it.
Audio quality measurement in PyTorch.
Train directly against it.
Handles digital silence correctly.
Built for enhancement tasks.
Works for source-separation training.
Free for research and products.
Download the source and enter the folder.
git clone https://github.com/crlandsc/torch-log-wmse.git
cd torch-log-wmseInstall the Python package.
pip install -e .Import logWMSE in your loop.
python -c "import torch_log_wmse; print(torch_log_wmse.__file__)"logWMSE, an audio quality metric and loss function for PyTorch, at crlandsc/torch-log-wmse.
Training and evaluating audio models like denoisers and separators.
Training targets where the correct output is silence; the metric handles them properly.
Yes. Apache-2.0 licensed.
Audio ML researchers and engineers training enhancement models.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio…
Real-time, low-latency music source separation in PyTorch.
Loss functions for training audio source separation models.
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Friendly front-end for local AI music models, packed with quality-of-life touches.
Os outros projetos de Música com IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se torch-log-wmse não for o ideal para você.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
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Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Projetos de Música com IA próximos no catálogo, os mais próximos em estrelas de torch-log-wmse: continue explorando dos dois lados dele.
An ESP32 hardware metronome with a web UI.
Open-source AI music SaaS: full tracks with cover art from a text prompt.
MCP server for AI-generated MIDI — text in, compositions out.
Run splifft locally: lightweight utilities for music source separation and t.
Terminal client for Suno v5.5 — tags, vocal control, and full generation flags.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.