Search Results for "speech"

The auditory modeling toolbox (AMT) is a Matlab/Octave toolbox for the development and application of auditory computational models. Over 50 auditory models implemented in Matlab, Octave, C, C++, and Python can be run from Matlab and Octave, on Windows and Linux. The AMT provides a well-structured in-code documentation, includes auditory data required to run the models. It integrates functionality to reproduce the model predictions. Model implementations can be evaluated in two stages,...

Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc

This repository is a voice activity detection (VAD) toolkit that implements multiple models (DNN, bDNN, LSTM, ACAM) for detecting speech versus non-speech in audio. It also provides a recorded dataset in varied real-world settings (e.g. bus stop, construction site, park, room) with ground truth labeling. Acoustic feature extraction (multi-resolution cochleagram, MRCG). Post-processing modules (e.g. smoothing, thresholds). The toolkit supports both MATLAB and Python/TensorFlow components (for feature extraction, classification, postprocessing). ...

Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.

The Spatio-temporal Kriging is a small software for kriging. The main function of this software including: 1. This software have both Chinese and English speech interfaces; 2. Supports three kinds of time data format(day,month and year; 3. Analysis of basic statistics and normal distribution inspection; 4. Spatio-temporal Semi-variance Calculating; 5. Spatio-temporal model curvefitting of both separable and non-separable models; 6. Spatio-temporal interpolation of single time and many times; In this software, it focus on the time dimension, so the format of the time is very very important, so you must select the right time format according to the data format.

Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition.

This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.

This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.

This is a speech project make by NTHU MIRLab, Taiwan.