this repository contains end to end python script to train speech data provided by google, evaluate testing data, and submite to competition

Mini Automatic Speech Recognition

A simple music feature extractor for Deep Learning models

Speech-Recognition STT Project

Audio Classification on UrbanSound8k dataset

Music genre classification is a machine learning model by which the model can predict music and classify the music based on popular genres like pop,jazz,rock,hip-hop,lofi etc.

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.

Audio Classification

audio processing service for mock-buddy

UrbanSound8K Audio Classifier: TensorFlow Model

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

testing librosa functionality with different examples

Music genre Recognition with Convolutional Neural Network CNN

Chord predictor using a Convolutional Neural Network on image representations of audio

Classify 10 different sounds from the city using a CNN

Paddle-Librosa provides Paddle implementation of some librosa functions

Raspberry Pi audio-to-visual pipeline with sentiment analysis

Exploratory data analysis and ML projects based on Astronomical data (Space Images)

Building a speaker identification & verification pipeline for Vietnamese voices 😪