An overview of text-independent speaker recognition: From features to supervectors
T Kinnunen, H Li - Speech communication, 2010 - Elsevier
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 …
Overview of speaker modeling and its applications: From the lens of deep speaker representation learning
Speaker individuality information is among the most critical elements within speech signals.
By thoroughly and accurately modeling this information, it can be utilized in various …
By thoroughly and accurately modeling this information, it can be utilized in various …
Modulation spectral features for speech emotion recognition using deep neural networks
This work explores the use of constant-Q transform based modulation spectral features (CQT-
MSF) for speech emotion recognition (SER). The human perception and analysis of sound …
MSF) for speech emotion recognition (SER). The human perception and analysis of sound …
An investigation of multidimensional voice program parameters in three different databases for voice pathology detection and classification
Summary Background and Objective Automatic voice-pathology detection and classification
systems may help clinicians to detect the existence of any voice pathologies and the type of …
systems may help clinicians to detect the existence of any voice pathologies and the type of …
An automatic health monitoring system for patients suffering from voice complications in smart cities
Current evolutions in the Internet of Things and cloud computing make it believable to build
smart cities and homes. Smart cities provide smart technologies to residents for the …
smart cities and homes. Smart cities provide smart technologies to residents for the …
Optimization of data-driven filterbank for automatic speaker verification
Most of the speech processing applications use triangular filters spaced in mel-scale for
feature extraction. In this paper, we propose a new data-driven filter design method which …
feature extraction. In this paper, we propose a new data-driven filter design method which …
Investigation of voice pathology detection and classification on different frequency regions using correlation functions
Summary Objectives and Background Automatic voice pathology detection and
classification systems effectively contribute to the assessment of voice disorders, which …
classification systems effectively contribute to the assessment of voice disorders, which …
Empirical mode decomposition for adaptive AM-FM analysis of speech: A review
This work reviews the advancements in the non-conventional analysis of speech signals,
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …
A unique approach in text independent speaker recognition using MFCC feature sets and probabilistic neural network
KS Ahmad, AS Thosar, JH Nirmal… - … on Advances in Pattern …, 2015 - ieeexplore.ieee.org
This paper motivates the use of combination of mel frequency cepstral coefficients (MFCC)
and its delta derivatives (DMFCC and DDMFCC) calculated using mel spaced Gaussian …
and its delta derivatives (DMFCC and DDMFCC) calculated using mel spaced Gaussian …
[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 …