Audio preprocessing tool for signal processing and machine learning applications.
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Updated
Mar 13, 2021 - Python
Audio preprocessing tool for signal processing and machine learning applications.
Voice based gender classification implemented using various Machine Learning algorithms from scratch using mfcc and pitch as features.
Bangla Automatic Speech Recognition
This project is about spotting a keyword from the Google Speech Commands Dataset.
procedures from Librosa library (https://github.com/librosa/librosa) for mfcc embeddings calculation of sound files for Raspberry Pi 64bit OS
Project for classifying audio files into different genres using the K-Nearest Neighbors (KNN) algorithm.
Machine Learning based Personal Voice Assisstant and text independent (Development phase)
Audio-based Multimedia Event Detection
Visualize and listen to audio samples while creating a custom audio dataset for machine learning.
Speech extraction and training techniques such as LPC & MFCC using python.
A Gaussian Mixture HMM and MFCC creation for use in speech recognition in Python.
This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.
This project is about a Music genre classification, which classifies the type of genre (Blues, Disco, Rock, etc..) using a CNN.
The objective of this DLM (Deep Learning Model) is to recognize the emotions from speech.
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