Development of Speaker Voice Identification Using Main Tone Boundary Statistics for Applying To Robot-Verbal Systems

• Autorzy: Amirgaliyev Yedilkhan , Musabayev Timur , Yedilkhan Didar , Wojcik Waldemar , Amirgaliyeva Zhazira

Identyfikatory

DOI

10.24425/ijet.2020.134015

• Języki publikacji: EN

Abstrakty

EN

Hereby there is given the speaker identification basic system. There is discussed application and usage of the voice interfaces, in particular, speaker voice identification upon robot and human being communication. There is given description of the information system for speaker automatic identification according to the voice to apply to robotic-verbal systems. There is carried out review of algorithms and computer-aided learning libraries and selected the most appropriate, according to the necessary criteria, ALGLIB. There is conducted the research of identification model operation performance assessment at different set of the fundamental voice tone. As the criterion of accuracy there has been used the percentage of improperly classified cases of a speaker identification.

Słowa kluczowe

EN

speaker voice identification; voice interface; FXO; human being; human-robot interaction; HRI; speech recognition; statistics of voice fundamental tone; computer-aided learning; neural network

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2020
• Tom: Vol. 66, No. 3
• Strony: 583--588
• Opis fizyczny: Bibliogr. 23 poz., il.

Twórcy

autor

Amirgaliyev Yedilkhan

• Institute of Information and Computing Technologies of the Science Committee of RK MES and Al-Farabi Kazakh National University

autor

Musabayev Timur

• Institute of Information and Computing Technologies of the Science Committee of RK MES, Astana IT University

autor

Yedilkhan Didar

• Institute of Information and Computing Technologies of the Science Committee of RK MES, Astana IT University

autor

Wojcik Waldemar

• Lublin Technical University

autor

Amirgaliyeva Zhazira

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).