[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 …
The SuperSID project: Exploiting high-level information for high-accuracy speaker recognition
The area of automatic speaker recognition has been dominated by systems using only short-
term, low-level acoustic information, such as cepstral features. While these systems have …
term, low-level acoustic information, such as cepstral features. While these systems have …
Phonetic speaker recognition with support vector machines
A recent area of significant progress in speaker recognition is the use of high level features—
idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not only has a …
idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not only has a …
[PDF][PDF] Fusing high-and low-level features for speaker recognition.
The area of automatic speaker recognition has been dominated by systems using only short-
term, low-level acoustic information, such as cepstral features. While these systems have …
term, low-level acoustic information, such as cepstral features. While these systems have …
Speaker verification using support vector machines and high-level features
High-level characteristics such as word usage, pronunciation, phonotactics, prosody, etc.,
have seen a resurgence for automatic speaker recognition over the last several years. With …
have seen a resurgence for automatic speaker recognition over the last several years. With …
Higher-level features in speaker recognition
E Shriberg - Speaker Classification I: Fundamentals, Features, and …, 2007 - Springer
Higher-level features based on linguistic or long-range information have attracted significant
attention in automatic speaker recognition. This article briefly summarizes approaches to …
attention in automatic speaker recognition. This article briefly summarizes approaches to …
Text-independent speaker verification: state of the art and challenges
Speech is often the only available modality to recognize the identity of a person (over the
telephone, the radio, in the dark,...). Automatic speaker recognition has been studied for …
telephone, the radio, in the dark,...). Automatic speaker recognition has been studied for …
[PDF][PDF] Robust speaker recognition
Q ** - 2007 - Citeseer
The automatic speaker recognition technologies have developed into more and more
important modern technologies required by many speech-aided applications. The main …
important modern technologies required by many speech-aided applications. The main …
Speaker-conditioned hierarchical modeling for automated speech scoring
Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a candidate's
speaking proficiency in a language. ASS systems face many challenges like open grammar …
speaking proficiency in a language. ASS systems face many challenges like open grammar …
Speaker recognition using prosodic and lexical features
S Kajarekar, L Ferrer, A Venkataraman… - … IEEE Workshop on …, 2003 - ieeexplore.ieee.org
Conventional speaker recognition systems identify speakers by using spectral information
from very short slices of speech. Such systems perform well (especially in quiet conditions) …
from very short slices of speech. Such systems perform well (especially in quiet conditions) …