hmartelb/speech-denoising
Speech Denoising project for the Deep Learning course at Tsinghua University, spring 2021
This project helps remove unwanted background noise from audio recordings, producing clearer speech. You input noisy audio files and get back versions where the speech is isolated and enhanced. It's designed for researchers or audio engineers who need to improve the quality of speech in challenging acoustic environments.
No commits in the last 6 months.
Use this if you need to clean up speech recordings that are heavily contaminated with various types of background noise for research or analysis.
Not ideal if you are a casual user looking for a simple, off-the-shelf application to denoise a single audio file without deep technical involvement.
Stars
18
Forks
10
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 22, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/hmartelb/speech-denoising"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
descriptinc/descript-audio-codec
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz...
drethage/speech-denoising-wavenet
A neural network for end-to-end speech denoising
YuanGongND/ast
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
iver56/torch-audiomentations
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
lmnt-com/wavegrad
A fast, high-quality neural vocoder.