Voice Activity Detection based on Deep Learning & TensorFlow
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Updated
Mar 24, 2023 - Python
Voice Activity Detection based on Deep Learning & TensorFlow
Audio feature extraction and classification
Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
Using a raspberry pi, we listen to the coffee machine and count the number of coffee consumption
A RESTFUL API implementation of an authentification system using voice fingerprint
Detect alcohol induced intoxication level from a voice sample
Audio classification using a simple SVM classifier making use of MFCC and Spectrogram features coded from scratch
Deep learning-based audio spoofing attack detection experiments for speaker verification.
A repos for USTH Digital Signal Processing 2020 Group 3 project. It's quite obvious in the title.
RespireNet is an innovative web-based application that harnesses the capabilities of deep learning and Mel-frequency cepstral coefficients (MFCC) as a feature extraction technique for accurate respiratory disease prediction. The primary objective of this user-friendly web application is to facilitate early detection.
Classify music in two categories progressive rock and non-progressive rock using mfcc features, MLP, and CNN.
Implementation of Mel-Frequency Cepstral Coefficients (MFCC) extraction
This project was my final Bachelor's degree thesis. In it I decided to mix my passion, music, and the syllabus that I liked the most in my degree, deep learning.
Bali has a diversity of arts that has been recognized by the world, where one of the most famous Balinese arts is the Karawitan art, especially the Kendang Tunggal instrument. Notation documentation or more commonly known as music transcription, can make learning a song easier, and in the case of this research, it makes it easier to learn to pla…
A machine learning model is trained to determine the word in an audio file
Identify speaker from given speech signal using MFCC features and Gaussian Mixture Models
Speaker Identification System built using mfcc, delta features and streamlit for web-based application.
Open-source Repository for PyMAiVAR software suit.
Penerapan metode Random Forest dalam klasifikasi Genre Musik menggunakan ekstraksi fitur MFCC.
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