Abstract
Effective presentation skills can help to succeed in business, career and academy. This paper presents the design of speech assessment during the oral presentation and the algorithm for speech evaluation based on criteria of optimal intonation. As the pace of the speech and its optimal intonation varies from language to language, developing an automatic identification of language during the presentation is required. Proposed algorithm was tested with presentations delivered in Kazakh language. For testing purposes the features of Kazakh phonemes were extracted using MFCC and PLP methods and created a Hidden Markov Model (HMM) [5], [5] of Kazakh phonemes. Kazakh vowel formants were defined and the correlation between the deviation rate in fundamental frequency and the liveliness of the speech to evaluate intonation of the presentation was analyzed. It was established that the threshold value between monotone and dynamic speech is 0.16 and the error for intonation evaluation is 19%.
Original language | English |
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Title of host publication | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 393-397 |
Number of pages | 5 |
Volume | 2017-January |
ISBN (Electronic) | 9781509063673 |
DOIs | |
Publication status | Published - Nov 30 2017 |
Event | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India Duration: Sep 13 2017 → Sep 16 2017 |
Conference
Conference | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 |
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Country | India |
City | Manipal, Mangalore |
Period | 9/13/17 → 9/16/17 |
Keywords
- Images
- MFCC
- PLP
- Presentations
- Recognition
- Speech
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems