• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
National Research University Higher School of EconomicsStudent ThesesDeep Neural Network Algorithms for Speech Recognition in Interactive Voice Response System

Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Anastasiia Beliakova
Deep Neural Network Algorithms for Speech Recognition in Interactive Voice Response System
Business Informatics
(Bachelor’s programme)
9
2017
In modern world speech recognition is one of the most popular and developing technology. This paper aims to increase the efficiency of speech recognition via using deep learning technology. During work on this project research there was done the analytical review of the literature of history and classification of speech recognition, as well as about modern approaches and models. Moreover, there was analyzed such models as Hidden Markov models (HMM), Gaussian mixture models (GMM), long shot-memory model (LSTM), deep neural networks (DNN) and hybrid HMM with DNN. Within this work was carried out analytical review of various acoustic models, which was trained by GMM and DNN. In addition to was performed comparative analysis of modern toolkit and experimental research based on Voxforge receipt and Kaldi library. Besides, during the research results was compared according to gender and age feature. The result of the research shows that Kaldi library is more accurate then Google toolkit. Furthermore, models based on DNN are more effective in several times.

Student Theses at HSE must be completed in accordance with the University Rules and Regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses