Mini Automatic Speech Recognition

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

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

UrbanSound8K Audio Classifier: TensorFlow Model

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

testing librosa functionality with different examples

Raspberry Pi audio-to-visual pipeline with sentiment analysis

Sound Classification Using CNN

Audio tagging is the process of inferring descriptive labels from audio clips (Multi label classification task). This repository contains exploratory code/scripts for audio preprocessing and model fitting for the task of audio tagging and its applications.

Industrial-Processes-Quality-Assessment-using-Sound-Analytics

Create a Deep Learning model to classify very short speech commands

Recognizes a given spoken digit.

음성을 통해 감정(기쁨, 슬픔, 분노, 당황, 중립)을 분류하고 감정에 적합한 답변을 생성하여 음성으로 들려주는 챗봇 서비스

In this project we deal with audio dataset to make classification between ten audio and make preprocssing in it using Librosa and Scipy then be input of Neural Network Model.

Sound data analysis project with Python, calf sound data were analyzed using Machine Learning in order to find patterns in vocalizations, to be later analyzed by livestock professionals.

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