Method of Automated Transcribing of Speech Signals for Information Technology of Text-Dependent Authentication of a Person by Voice

Bisikalo, Oleg; Kovtun, Viacheslav; Boivan, Olesia; Kovtun, Oksana

doi:10.1109/acit52158.2021.9548627

Cited by 3 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further research is planned to analyze the function

, the extremum of which can potentially indicate the elements of the personalized phonetic alphabet, in which the individuality and informativeness of the speech of the person are most apparent. The authors hope that the results of such an investigation will increase the practical value of the proposed system of models for the precision phonetic analysis of speech [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Entropy-Argumentative Concept of Computational Phonetic Analysis of Speech Taking into Account Dialect and Individuality of Phonation

Kovtun

Семенов

2022

Entropy

Self Cite

View full text Add to dashboard Cite

In this article, the concept (i.e., the mathematical model and methods) of computational phonetic analysis of speech with an analytical description of the phenomenon of phonetic fusion is proposed. In this concept, in contrast to the existing methods, the problem of multicriteria of the process of cognitive perception of speech by a person is strictly formally presented using the theoretical and analytical apparatus of information (entropy) theory, pattern recognition theory and acoustic theory of speech formation. The obtained concept allows for determining reliably the individual phonetic alphabet inherent in a person, taking into account their inherent dialect of speech and individual features of phonation, as well as detecting and correcting errors in the recognition of language units. The experiments prove the superiority of the proposed scientific result over such common Bayesian concepts of decision making using the Euclidean-type mismatch metric as a method of maximum likelihood and a method of an ideal observer. The analysis of the speech signal carried out in the metric based on the proposed concept allows, in particular, for establishing reliably the phonetic saturation of speech, which objectively characterizes the environment of speech signal propagation and its source.

show abstract

“…Further research is planned to analyze the function

Section: Discussionmentioning

confidence: 99%