Machine learning, in numpy
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Updated
Oct 29, 2023 - Python
Machine learning, in numpy
a library for audio and music analysis
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
A library for audio and music analysis, feature extraction.
🔉 spafe: Simplified Python Audio Features Extraction
A C++ Library for Audio Analysis
.NET DSP library with a lot of audio processing functions
🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)
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…
Identify the emotion of multiple speakers in an Audio Segment
Audio feature extraction and classification
Detecting emotions using MFCC features of human speech using Deep Learning
Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API
A program for automatic speaker identification using deep learning techniques.
A suite of speech signal processing tools
A simple audio feature extraction library
Synchronize your subtitles using machine learning
Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features
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