ahmetcanaydemir/sekte
Reducing the Noise in the Audio Signal by Deep Learning Methods
This project helps remove unwanted background noise from audio recordings, such as speech or music. You provide it with a noisy audio file, and it outputs a cleaner version of the sound, along with details about the types of sounds detected. It's designed for anyone needing to improve the clarity of their audio, like content creators, podcasters, or online meeting participants.
No commits in the last 6 months.
Use this if you have audio recordings with significant background noise and need a simpler way to clean them up.
Not ideal if you require real-time noise elimination for live microphone feeds without additional setup.
Stars
15
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 19, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ahmetcanaydemir/sekte"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
iver56/audiomentations
A Python library for audio data augmentation. Useful for making audio ML models work well in the...
Rikorose/DeepFilterNet
Noise supression using deep filtering
torchsynth/torchsynth
A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
marl/openl3
OpenL3: Open-source deep audio and image embeddings
archinetai/audio-data-pytorch
A collection of useful audio datasets and transforms for PyTorch.