Search Results for "research"

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.

PROJECT DEVELOPMENT MOVED TO GITHUB! EmoFilt enables the free-for-non-commercial-use speech synthesis engine MBROLA to sound emotional by manipulating the phonetic description. It does so by modifying melody and rhythm of the speech, matching a target emotion. It is available for 34 languag

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. The output files are stored in HTK format. The software is developed at Department of...

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

InproTK is an Incremental Spoken Dialogue Processing Toolkit, that is, a toolkit to help you build dialogue systems that listen and talk incrementally, allowing for advanced interactional behaviour. Please see our Wiki for more information: http://sourceforge.net/p/inprotk/wiki/

A speech synthesis and recognition library that is cross-platform, accessible from Java and C++, and has a very small API. Uses CMU Sphinx4 and FreeTTS internally.

HMM Speech Recognition in Java

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

Speect is a multilingual TTS system. It offers a full text-to-speech system with various API's, as well as an environment for research and development of TTS systems and voices. It is written in ANSI C and uses a plug-in mechanism for extensions. Speect also includes an extensive set of Python bindings for quick implementation of new ideas, these bindings are derived from SWIG interface files and can easily be extended for other languages supported by SWIG.

Spantus - signal(speech) analytical tool

Java Voice Control System

Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.

ASR-Builder provides an easy-to-use interface to the HTK toolkit, that allows users to build ASR systems. ASR-Builder provides a platform that performs house-keeping tasks when using HTK and also provides default training/testing/recognition scripts.

Speech based User Interface Components Library for Java is a project to create Java controls and applications that can be used not only by literate people but also by non-literates. Speech and visual element with minimal text is used to create components

JeSpeak is a Java library that bridges eSpeak, which is a compact open source software speech synthesizer. JeSpeak uses JNI to make native call to libespeak.

Project c2h - cetacean to human - building Seadragon, a tool for the scientific research of the acoustic communication of cetaceans, supporting the creation, emission, and recognition of underwater whistles. The blog: http://leafyseadragon.blogspot.com/

Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.

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.