Search Results for "general morphological 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...

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.

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.

Spantus - signal(speech) analytical tool

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

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.

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.