Extraction of text from audio clip using moviepy and speech_recognition library, python

BeatFarmer stands out in the realm of audio analysis tools by not only offering deep insights into audio samples but also by being a source of creative inspiration for music producers, hobbyists, and enthusiasts. With BeatFarmer, elevate your music production process and bring organization and innovation to your audio samples.

A text-to-speech program using VAE on Mel spectrograms of phonemes.

Silly Sequencer assigns a random sample to each note of each channel of a MIDI file and outputs the resulting audio file.

Speaker diarization simulation built with python

8th place solution in 2020 AICup - Music Transcription

An application that collects and preprocesses audio clips of single-word utterances found in WAV files

This project is about a Music genre classification, which classifies the type of genre (Blues, Disco, Rock, etc..) using a CNN.

Exploring the viability of machine learning to aid categorisation of audio to accompany TV adverts

Classification and Recommendation System

procedures from Librosa library (https://github.com/librosa/librosa) for mfcc embeddings calculation of sound files for Raspberry Pi 64bit OS

Whole Audio Visualization in Python with multiple diagrams in streamlit.

The normalised aggregated power envelope (nape) is a representation of an audio signal calculated by summing the columns of the short-time Fourier transform (STFT).

we shall build a very simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input.

Deep Learning project - Recognize the language of an audio file using deep convolutional neural networks

Application of convolutional neural networks to the classification of respiratory sounds

Streamlit app forked for debugging purposes only

4-Dimensional Music Maker

Educational DSP Audio Processor