Temat: speaker recognition system - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Amplitude and Frequency Modulation in Speaker Recognition Systems
Autorzy:: Ciota, Z.
Powiązania:: https://bibliotekanauki.pl/articles/397977.pdf
Data publikacji:: 2012
Wydawca:: Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
Tematy:: modulacja AM-FM
filtr Gabora
transformata Hilberta
biometryka głosu
spektrogram
przetwarzanie mowy
AM-FM modulation
Gabor filters
Hilbert transform
speaker recognition system
spectrogram analysis
speech processing
Opis:: The paper presents a review of the nowadays methods of voice vector extraction, applied in such speech processing, like person identification and emotion recognition. A special attention was held on mixed time-frequency analysis based on temporary frequency approach. The methods of calculation of time - frequency voice characterization were also described. The most important building blocks of identification and recognition of speakers have been presented. The characterization of feature vectors suitable for identification and verification in microcomputer systems was described. Components and appropriate method of speech identification based on the long-term spectra vectors were discussed.
Źródło:: International Journal of Microelectronics and Computer Science; 2012, 3, 2; 41-44
2080-8755
2353-9607
Pojawia się w:: International Journal of Microelectronics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Behavioral features of the speech signal as part of improving the effectiveness of the automatic speaker recognition system
Autorzy:: Mały, Dominik
Dobrowolski, Andrzej
Powiązania:: https://bibliotekanauki.pl/articles/27323689.pdf
Data publikacji:: 2023
Wydawca:: Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
Tematy:: automatic speaker recognition
automatic speaker recognition systems
physical features
behavioral features
speech signal
automatyczne rozpoznawanie mówiącego
sygnał mowy
system automatycznego rozpoznawania mówiącego
cecha behawioralna
cecha fizyczna
Opis:: The current reality is saturated with intelligent telecommunications solutions, and automatic speaker recognition systems are an integral part of many of them. They are widely used in sectors such as banking, telecommunications and forensics. The ease of performing automatic analysis and efficient extraction of the distinctive characteristics of the human voice makes it possible to identify, verify, as well as authorize the speaker under investigation. Currently, the vast majority of solutions in the field of speaker recognition systems are based on the distinctive features resulting from the structure of the speaker's vocal tract (laryngeal sound analysis), called physical features of the voice. Despite the high efficiency of such systems - oscillating at more than 95% - their further development is already very difficult, due to the fact that the possibilities of distinctive physical features have been exhausted. Further opportunities to increase the effectiveness of ASR systems based on physical features appear after additional consideration of the behavioral features of the speech signal in the system, which is the subject of this article.
Źródło:: Inżynieria Bezpieczeństwa Obiektów Antropogenicznych; 2023, 4; 26--34
2450-1859
2450-8721
Pojawia się w:: Inżynieria Bezpieczeństwa Obiektów Antropogenicznych
Dostawca treści:: Biblioteka Nauki

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