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An overview of text-independent speaker recognition: From features to supervectors
This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …
emphasis on text-independent recognition. Speaker recognition has been studied actively …
[PDF][PDF] Распознавание личности по голосу: аналитический обзор
ВН Сорокин, ВВ Вьюгин, АА Тананыкин - Информационные процессы, 2012 - jip.ru
Задача распознавания диктора по его голосу была поставлена более 40 лет тому
назад, и исследования в этой области все еще продолжаются. Решение этой задачи …
назад, и исследования в этой области все еще продолжаются. Решение этой задачи …
Using combined features to improve speaker verification in the face of limited reverberant data
Automatic speaker recognition has garnered significant attention in research, displaying
impressive performance in matched conditions where training and testing environments are …
impressive performance in matched conditions where training and testing environments are …
Improving short utterance speaker verification by combining MFCC and Entrocy in Noisy conditions
Short utterance and background noise represent great challenging for speaker verification
due to the mismatch and limited training and/or retrieve data. A remarkable performance …
due to the mismatch and limited training and/or retrieve data. A remarkable performance …
An overview of statistical pattern recognition techniques for speaker verification
Even though the subject of speaker verification has been investigated for several decades,
numerous challenges and new opportunities in robust recognition techniques are still being …
numerous challenges and new opportunities in robust recognition techniques are still being …
Improving short utterance speaker recognition by modeling speech unit classes
Short utterance speaker recognition (SUSR) is highly challenging due to the limited
enrollment and/or test data. We argue that the difficulty can be largely attributed to the …
enrollment and/or test data. We argue that the difficulty can be largely attributed to the …
[KÖNYV][B] Robustness-related issues in speaker recognition
Speaker recognition (known as voiceprint recognition in industry) is the process of
automatically identifying or verifying the identity of a person from his/her voice, using the …
automatically identifying or verifying the identity of a person from his/her voice, using the …
A deep learning approach for text-independent speaker recognition with short utterances
R Chakroun, M Frikha - Multimedia Tools and Applications, 2023 - Springer
Recently, the speaker recognition techniques have been widely attractive for their extensive
use in many fields, such as speech communications, domestic services, security and access …
use in many fields, such as speech communications, domestic services, security and access …
[KÖNYV][B] Robust speaker recognition in noisy environments
Speaker verification (SV) is the process of validating the claimed identity of an individual
using his/her speech. State-of-the-art SV systems perform reasonably well when the spoken …
using his/her speech. State-of-the-art SV systems perform reasonably well when the spoken …
Speaker recognition under limited data condition by noise addition
This work demonstrates that, under limited data condition, it is indeed possible to improve
the speaker recognition performance by controlled noise addition. The problem of limited …
the speaker recognition performance by controlled noise addition. The problem of limited …