Development of Speech-to-Text Module Based on an Existing API

Student: Elesin Aleksey

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Final Grade: 9

Year of Graduation: 2018

The goal of this final qualifying work is the development of a service for speech recognition using third-party APIs for speech recognition such as Google Speech API. This paper discusses the main problems encountered in the development of software for speech recognition services, such as providing support for all popular media formats and the ability to recognize speech from audio to text cost-effectively, faster than real time and regardless of the length of the original audio file. The result of the final qualifying work is the created software that fully meets the initial requirements for the technical task. The volume of work - 32 pages, the number of illustrations - 7, the number of tables - 1, the number of sources used - 15.

Full text (added May 15, 2018)

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