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 …
Pushing the limits of raw waveform speaker recognition
In recent years, speaker recognition systems based on raw waveform inputs have received
increasing attention. However, the performance of such systems are typically inferior to the …
increasing attention. However, the performance of such systems are typically inferior to the …
A new W-SVM kernel combining PSO-neural network transformed vector and Bayesian optimized SVM in GDP forecasting
GN Kouziokas - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Considering that in the literature there is a very limited number of studies proposing new
SVM kernels especially in regression problems, the scope of this research is to investigate …
SVM kernels especially in regression problems, the scope of this research is to investigate …
[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 …
Classification of emotions and evaluation of customer satisfaction from speech in real world acoustic environments
This paper focuses on finding suitable features to robustly recognize emotions and evaluate
customer satisfaction (CS) from speech in real acoustic scenarios. The classification of …
customer satisfaction (CS) from speech in real acoustic scenarios. The classification of …
Audio content-based music retrieval
The rapidly growing corpus of digital audio material requires novel retrieval strategies for
exploring large music collections. Traditional retrieval strategies rely on metadata that …
exploring large music collections. Traditional retrieval strategies rely on metadata that …
Plant leaf recognition and classification based on the whale optimization algorithm (WOA) and random forest (RF)
Image processing has a vital role to play in current day scenario due to its wide band of
advantages and applications such as healthcare, military, scientific and business …
advantages and applications such as healthcare, military, scientific and business …
GMM-SVM kernel with a Bhattacharyya-based distance for speaker recognition
Among conventional methods for text-independent speaker recognition, Gaussian mixture
model (GMM) is known for its effectiveness and scalability in modeling the spectral …
model (GMM) is known for its effectiveness and scalability in modeling the spectral …
Grading hypoxic–ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine
Objective This work presents a novel automated system to classify the severity of hypoxic–
ischemic encephalopathy (HIE) in neonates using EEG. Methods A cross disciplinary …
ischemic encephalopathy (HIE) in neonates using EEG. Methods A cross disciplinary …
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 …