A C++ Library for Audio Analysis
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
aubio plugins for Vamp
From frequencies to feeling
SpeakerVoiceIdentifier can recognize the voice of a speaker by learning.
26-Point MFCC & 512-Point FFT Generator & Visualizer in Java, C++, and NEON intrinsics
Automatic Speech Recognition library for my BTech Project.
Recognize voice commands in smart home using MFCC, LPC and formants
Some works on accelerating MFCC features extraction with NEON NE10 and Videocore IV on Raspberry Pi
Based on the improved Gaussian mixture model and the flute-based vehicle identification method which incorporates MFCC features and RASTA-PLP features.
pENC is a fast, hybrid C++/Python toolkit for parallel audio feature extraction and classification. It uses OpenCL (GPU) and Cython (CPU) for accelerated MFCC extraction, supports batch processing, and integrates with scikit-learn for machine learning. Ideal for research and large-scale audio analysis.
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."