Machine learning, in numpy
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Updated
Jan 11, 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
A C++ Library for Audio Analysis
.NET DSP library with a lot of audio processing functions
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…
Audio feature extraction and classification
A suite of speech signal processing tools
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 differential version of SPTK
A program for automatic speaker identification using deep learning techniques.
A simple audio feature extraction library
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