22 results for “topic:audio-enhancement”
A C++ based, lightweight music and noise remover for YouTube and other internet media, using DeepFilterNet for audio enhancement.
Pytorch based speech enhancement toolkit.
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
Real-time Virtual Bass Enhancement System
Mp3 to wav super resolution model for audio restoration & enhancement. U-Net + Discrete Wavelet Transform (DWT) Architecture
DEVINYL - Recover vynils beyond recovering
No description provided.
A research based project which uses steganography and ML/deep learning algorithm to reconstruct the lost audio signals from a corrupted file.
Media player written in pure Python with sound remastering on the go.
A community maintained database of IRS+easyeffects profiles files, to be used with the convolver
🎧 Enhance MP3 audio quality by removing compression artifacts with a wavelet-based deep learning model for superior sound restoration.
ComfyUI custom node for LavaSR - Low-quality audio enhancer with speeds reaching roughly 5000x realtime on GPU and over 60x realtime on CPU
A research repository for how to improve openai-whisper speech to text models for English and Swahili speakers with speech impairments
WavePad is a versatile audio recording and editing software that offers a wide range of features for professionals and casual users alike
Enhance and upsample low quality audio files using A.I.
No description provided.
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🎵 Web Audio Player – Music Files Audio/X-WAV & Audio/FLAC Collection A simple and responsive web-based audio player to showcase and stream My personal Audio/X-WAV & Audio/FLAC Music collection.
NoMusic is a browser extension that removes background music from tab audio in real time with an entirely local processing pipeline.
🎙️ Remove background noise (wind, traffic, hum) from audio recordings using SoX. Run entirely in Google Colab - no installation needed!
It is a comprehensive multimedia player and manager that provides high-fidelity sound enhancement effects, wide format support, and integrated tools for CD ripping, burning, and recording.
Open source project. The team's goal is to develop a machine learning model that will improve audio quality (remove noise and unnecessary sounds)