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Ziax ASR the System of speech recognition in real time

Product
Developers: Ziax (Ziaks)
Technology: Speech technologies

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2021: Development start

The Ziaks company announced on February 9, 2021 the beginning of implementation of the complex project on development of ZIAX ASR – solutions in the field of the systems of speech recognition.

The "Development of the System of Speech Recognition in Real Time for Conditions of Express Speaker Circuit, including in Difficult Acoustic Conditions" project will pass with assistance of the Russian fund of information technology development based on competitive selection of projects on receiving grants for development of the domestic software which winner was a ZIAKS command.

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"It is pleasant to us that the beginning of our cooperation with a command SATEL was marked by our general victory thanks to which we will be able to realize all our ideas on development of the solution ZIAX and to make the worthy competition to foreign software solutions within the national project on import substitution", - Roman Milovanov, the CEO of ZIAKS notes.
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ZIAX ASR will represent the highly effective voice module with an accuracy of speech recognition about 85%. In development process the module of recognition will be able to pretreat and estimate quality of a voice signal that assumes separation of phonograms into segments with a desired voice signal and segments with noise, pauses, telephone and musical signals.

As envisioned by developers, the solution will have knowledge of characteristics of the transferring environment and will help to solve problems of a shumoochistka and improvement of quality of voice signals and also to estimate their suitability for the subsequent use in the systems of automatic speech recognition and a voice. The product of the project will be equipped with function of post-processing at which the number formats will be displaid by digits, but not the text as it occurs in all modern platforms on speech recognition.

The voice module ZIAX ASR is intended for ensuring the accuracy of speech recognition necessary for work of the following systems: voice actuation, voice commands, voice text entering, voice search. Besides, the developed solution can be applicable for IVR, voice chat-bots, writing of shorthand reports, dictation of the text, speech analytics.