Abstract

This article aims to describe the work conducted at VoiceInteraction, a company specialized in speech processing solutions, with a particular focus on automatic transcription using a Hybrid Automatic Speech Recognizer (ASR). The primary objective revolved around studying the phonetic characteristics of the Russian language, encompassing four main tasks: describing the phonetic-phonological inventory, validating news transcriptions, validating a previously created lexicon, and integrating filled pauses into the ASR. This work contributed to the Artificial Intelligence and Advanced Data Analysis for Authority Agencies (AIDA) project, funded by the European Commission under the Horizon 2020 program, by transcribing the data in the Russian language.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.