SPTK is a suite of speech signal processing tools for UNIX
environments, e.g., LPC analysis, PARCOR analysis, LSP analysis,
PARCOR synthesis filter, LSP synthesis filter, vector
quantization techniques, and other extended versions of them.
WaveSurfer is an open source tool for sound visualization and manipulation. Typical applications are speech/sound analysis and sound annotation/transcription. WaveSurfer may be extended by plug-ins as well as embedded in other applications.
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.
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MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
A fast GPU accelerated feature extraction software for speech analysis
A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present.
SetFon focus is an interface web based for Praat resources (www.praat.org) wich focus speech sound annalysis; it is a gerent program for acoustic analysis PHP/Mysql based. Developed with the framework SIMP.
Advanced Speech Signal Analysis library provides a structure to handle various file formats and a variety of analysis functions commonly used in speech processing.
This is a simple DSP simulator for educational purposes: developed as a course supplement of CIT-4617 (Digital Signal Processing) at Islamic University of Technology (IUT). Written in C++.
1.) Investigation with cosine transform, and anti transform algorithm, with some voice recognition code. 2.) Translator: Croatian, English. 3.) 2D to 3D picture algorithm (principle) and new 2Dto3D video conversion code with AviSynth video scripting
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.
Speech Made Visible is an experiment in showing some of the qualities of speech in printed text. Analyze a recording for attributes like pitch, intensity (loudness), and speed; then style the words in a transcript to suggest those characteristics.
A collection of scripts and programs to automatically annotate video/audio for subtitles. Basically relies on a MARSYAS (Music Analysis, Retrieval and Synthesis for Audio Signals) plug-in for detecting human voice in polyphonic recordings.
eXtace is a 3D audio visualization tool (or eye candy depending on how you look at it). eXtace requires ESD (Esound) for its sound input source. It performs a FFT (fast fourier transform) on audio and displays it via various graphical modes.
Audacity Policial (aka Audacity Police) is an extension of Audacity sound editor that was created to help police and justice investigations based on phone call and environmental recordings, supporting audio analysis and transcription.
festival-te synthesizes text in Telugu language into speech using Festival TTS. The package provides the supporting modules required to use festival for Telugu. It includes modules for text/lexical analysis and intonation/duration prediction for Telugu.
This tool is for Nuance developers who wish to analyze the results of Nuance's batchrec program. It reads in the results of a Nuance batch recognition run, calculates WER using sclite, and stores the results in a database for subsequent analysis.
The purpose of this project is to provide a biometric security solution by using voice print, fingerprint and/or facial recognition along with a password and/or smart card support using AES to protect data. Please read forums for if interested.
SAA (SSPLab Audio Analyzer)
It will be able to separate sources, recognize speech and analyze
the auditory scene. It can also synthesize spatialised sounds from
mono recording, edit, analyze via spectrogram, filter and re-sample
signals.
jATLAS is a Java implementation of ATLAS [Architecture and Tools for Linguistic Analysis Systems]. For more information, see http://jatlas.sourceforge.net.