Sphinx-4 1.0 Beta 6
The package features implementations of various acoustic tools and language models that improve signal processing and overall speech recognition. Thus, Sphinx-4 should be able to detect simple digits and large contiguous vocabulary items.
The modular architecture of the Sphinx-4 framework allows implementation of various modules that can lead to increased functionality and accuracy.
There are three modules available in the bundle, the FrontEnd, the Decoder and the Linguist, each fulfilling clearly assigned tasks.
They work in synergy in order to provide the best results by analyzing the input signal, processing and decoding it and translating standard language models based on pronunciation and structural information.
Versatile configuration options
A hefty set of parameters is included in Sphinx-4 in order to allow the user to customize the performance of the product according to specific conditions. With most of the changes, however, there is no need to meddle with the source code.
Furthermore, some of the configuration parameters can be altered on the go, which leaves room for experimenting with different settings without having to stop and reiterate the entire procedure.
Flexible speech recognition framework
Sphinx-4 comes with plenty of documentation that offers instructions about handling the main components as well as on how it can be installed on various platforms.
It is highly flexible and versatile, and the developer makes available a sufficient number of demos for assessing the capabilities of Sphinx-4.
Reviewed by Ionut Ilascu, last updated on May 15th, 2014
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Application descriptionSphinx-4 was built as a state-of-the-art speech recognition system that has been written entirely in the Java programm...