Search Results for "audio analysis"

SPPAS is a scientific computer software package written and maintained by Brigitte Bigi of the Laboratoire Parole et Langage, in Aix-en-Provence, France. Available for free, with open source code, there is simply no other package for linguists to simple use in the automatic annotations of speech, the analyses of any kind of annotated data and the conversion of annotated files. SPPAS is able to produce automatically speech annotations from a recorded speech sound and its orthographic...

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

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.

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 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.

Simple program to assist transcriptions from recorded interviews. Resembles somewhat the early F4. <br/>Keywords: transcription transcribe interview

Spantus - signal(speech) analytical tool

The open source, multimodal interactive "Sensitive Artificial Listener" dialogue system created by the EU project SEMAINE.

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.

This site is devoted to the collaborative creation of tools, protocols and procedures for field linguistics and language analysis. We are especially interested in tools for annotating or manipulating text, audio and video-based language archives.

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.

A Simple Nepali Voice Synthesis Project

jATLAS is a Java implementation of ATLAS [Architecture and Tools for Linguistic Analysis Systems]. For more information, see http://jatlas.sourceforge.net.

Find the pitch of a power spectrum (signal) as per the afferent/efferent neural crossover. This occurs between the Lateral olivocochlear efferents and the inner hair cell afferents.