Machine learning, in numpy
-
Updated
Oct 29, 2023 - Python
Machine learning, in numpy
a library for audio and music analysis
A library for audio and music analysis, feature extraction.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
.NET DSP library with a lot of audio processing functions
🔉 spafe: Simplified Python Audio Features Extraction
A C++ Library for Audio Analysis
Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…
A suite of speech signal processing tools
Audio feature extraction and classification
🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)
Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API
Identify the emotion of multiple speakers in an Audio Segment
Synchronize your subtitles using machine learning
Detecting emotions using MFCC features of human speech using Deep Learning
A program for automatic speaker identification using deep learning techniques.
A simple audio feature extraction library
Add a description, image, and links to the mfcc topic page so that developers can more easily learn about it.
To associate your repository with the mfcc topic, visit your repo's landing page and select "manage topics."