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A curated list of awesome self-supervised methods
A dataset of datasets for learning to learn from few examples
SincNet is a neural architecture for efficiently processing raw audio samples.
An extremely fast Python package installer and resolver, written in Rust.
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
This repo contains the evaluation code for the INQUIRE benchmark
Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
Music Audio Representation Benchmark for Universal Evaluation
A python api for BirdNET-Lite and BirdNET-Analyzer
PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
an accessor for xarray objects that interprets CF attributes
Scripts for: Automated speech detection in eco-acoustic data enables privacy protection and human disturbance quantification.
The official implementation of A-CPD from the paper "From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning".
Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification
Collection of audio-focused loss functions in PyTorch
Python version of http:https://www.ee.columbia.edu/ln/rosa/matlab/gammatonegram/
A library built for easier audio self-supervised training, downstream tasks evaluation
An extremely fast Python linter and code formatter, written in Rust.
ecomontec / ecoSound-web
Forked from nperezg/biosoundsWeb application for ecoacoustics to manage, navigate, visualise, annotate, and analyse soundscape recordings.
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
A new markup-based typesetting system that is powerful and easy to learn.
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
A simple library for Fréchet Audio Distance (FAD) calculation