Convmelspec: Convertible Melspectrograms via 1D Convolutions
Easier audio-based machine learning with TensorFlow.
A neural network framework for researchers studying acoustic communication
Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze complex soundscapes faster and more accurately.
Find gravitational wave signals from binary black hole collisions.
Music timbre transfer
A Python script that transforms images into audio
Python package for reproducible feature extraction from spectrograms with custom pre-trained encoders
Implementation in Python of a tool to automatically classify speech segments according to intonation system of Cuba.
Interactive app for pre-annotation of spectrogram images aided by deep-leaning based clustering
A program to visualize audio files as spectrograms and log annotations.
Obspy code that generates continuous spectrograms from FDSN listed seismic stations.
Converts Audio Files to spectrograms
Find how similar your voice is to Taylor Swift (WIP) ✨
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