  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%.
