Display frequency labels for wavesurfer.js spectrogram plugin

Reconocimiento de voz usando Deep Learning, mediante redes convolucionales proponemos un sistema de reconocimiento de voz mediante un clasificador de imágenes mediante el uso de espectrogramas

Web interface that allows to listen to tracks and label them while viewing the spectrogram. The tracks can be organized into projects and devices.

This repository is mainly about the classification of music genres of Kaggle music dataset in various forms of data preparation

Music equalizer with real-time plotting and spectrum analysis and virtual instruments playing (Piano- Guitar- Drum)

Python program that converts an image file to audio

Application to remove background noise from audio files

Multiclass audio classification of bird calls.

🎙Audio analysis - a field that includes automatic speech recognition(ASR)🎛, digital signal processing🎚, and music classification🎶, tagging📻, and generation🎧 - is a 🎼growing subdomain of 🎵deep learning applications🎤

A one hobbyists project for automatic music transcription. It is simple, but may serve as a crude music transcription tool or be used for educational/teaching purposes.

Matlab projects for Machine Perception course at Warsaw University of Technology.

Convert pixel data to a wav file

Audio Classification with CNN

Minimal realtime spectrogram application using Web Audio API.

Our goal is to push the general performance of music genre recognition forward and introduce a new method for pre-processing which allows for faster experimentation and model tuning in the future. We experimented with two different musical representations: mel-spectrograms and manually extracted features.

Gravitational-wave signal generation, denoising, analysis, and classification.

Concept checking

Cetacean detection from hydrophone audio via image classification on spectrograms.

A naive speech recognizer from scratch, written in Python 3