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Machine Hearing Algorithms with Respect to Modern IT Infrastructure Development

Student: Repetskaia Tatiana

Supervisor: Sergey G. Efremov

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Bachelor)

Final Grade: 10

Year of Graduation: 2018

Artificial intelligence has significantly developed over the last 10 years. Different technologies of this perspective scientific field are being currently used in a large number of business solutions quite successfully. One of the basic terms of the artificial intelligence area is machine perception which, among other things, includes the concept of machine hearing. Due to advances in technology, algorithms of machine hearing can provide a variety of solutions both for science and business. Therefore, it is very important to develop the understanding of those problems which could be resolved with the help of machine hearing algorithms and of those restrictions and requirements that the usage of these algorithms entails in respect of the modern IT infrastructure. The aim of this paper is to distinguish this kind of algorithms in respect of the modern IT infrastructure and to form the approach to the development of the architecture of software solutions, taking into account the specifics of such algorithms.

Full text (added May 16, 2018)

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