基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
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Updated
Jul 29, 2024 - Python
基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Whole Audio Analysis with Python
Helps manipulate audio files by auto detecting song info using Shazam
A Deep Learning project to analyse audio files and identify the emotions of the speaker
These are models that helps identify audio by means of CV (Computer Vision) via a spectogram.
NEAL (Nature+Energy Audio Labeller) is an open-source interactive audio data annotation tool.
🎸 Audio Instrument Classification – 2nd place solution for Lumen Data Science 2023
The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
🚤 Label data at scale. Fun and precision included.
Implements ML audio separation algorithm on audio from YouTube or Spotify resulting in "stems" for download (e.g. vocals, drums, bass) in MP3, WAV or FLAC.
Unofficial (Golang) Go bindings for the Hugging Face Inference API
A library built for easier audio self-supervised training, downstream tasks evaluation
Democratizing Artificial Intelligence
The repository contains software and a neural network model specifically developed for the MineGuard project
building AVA from ex-machina; a lightweight multi-modal system from scratch, just for learning & experimentation
Quran Recitation Audio Classification project aims to classify different recitations of the Quran using machine learning techniques. It involves preprocessing audio data, extracting features, training models, and evaluating their performance
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
tensorflow for speech-music-detection task,acc 96%+
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