Search Results for "speech analysis"
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Showing 13 open source projects for "speech analysis"
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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.
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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.
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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.
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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.
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Twiline
Transcribe audio files to written text
Simple program to assist transcriptions from recorded interviews. Resembles somewhat the early F4. <br/>Keywords: transcription transcribe interview -
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BINVB Speech Processing Toolbox
Toolbox for speech processing. Realization of Voicebox interface.
This is a toolbox for speech processing written in C. It realizes interface of Voicebox toolbox (http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html). -
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The open source, multimodal interactive "Sensitive Artificial Listener" dialogue system created by the EU project SEMAINE.
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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.
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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.
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TSSBank is written in c#(.Net 2.0).The main aimed group is the disabled persons.This component outputs voice & textual outputs (with value/words)plus experimental Voice Recognition (VR) system that identifies more then 80% accurately with out training.
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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.
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