International Journal of Speech Technology
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Car noise verification and applications
International Journal of Speech Technology - Tập 17 - Trang 167-181 - 2013
This study presents audio based vehicle-verification as a new area of research. The task involves verifying the claim that an acoustic sample belongs to a vehicle. Audio based vehicle verification has the potential to impact research in the areas of vehicle forensics and in-vehicle speech systems. For this task, a new corpus (UTD-CAR-NOISE) that consists of noise from 20 vehicles under 8 distinct ......
Security enhancement for AES encrypted speech in communications
International Journal of Speech Technology - Tập 20 - Trang 163-169 - 2017
This paper introduces a secure speech communication approach, which is based on encryption and authentication. This system is based on Advanced Encryption Standard (AES) for encryption and private image database for enhancement of encryption and for authentication. The idea of this cryptosystem is based on XOR of one image from image database with the clear speech before encryption and embedding t......
Multilingual rule-based approach to number expansion: Framework, extensions and application
International Journal of Speech Technology - Tập 9 - Trang 29-40 - 2006
The language development of a multilingual text-to-speech system requires contribution from linguists and native speakers of a given language. Text normalization including number expansion is one of the language-specific processing steps. The most available solutions do not support inflections and are not simple enough to be practical for non-technical developers. This paper presents a novel solut......
Optimal parameters selected for automatic recognition of spoken Amazigh digits and letters using Hidden Markov Model Toolkit
International Journal of Speech Technology - - 2020
An orbicularis oris, buccinator, zygomaticus, and risorius muscle contraction classification for lip-reading during speech using sEMG signals on multi-channels
International Journal of Speech Technology - Tập 24 Số 3 - Trang 593-600 - 2021
Encrypted gray image transmission over OFDM channel for TV cloud computing
International Journal of Speech Technology - Tập 20 - Trang 431-442 - 2017
One of the most important issues which attract the researcher is to provide a secure channel to transfer data between many points. Television cloud has many contents which are needed to be transferred to authorized groups (AuthGs). Also, the transfer rate is an aspect to be considered. In this work, orthogonal frequency division multiplexing is investigated to be sure it is acceptable for the clou......
Enhanced multiclass SVM with thresholding fusion for speech-based emotion classification
International Journal of Speech Technology - Tập 20 - Trang 27-41 - 2016
As an essential approach to understanding human interactions, emotion classification is a vital component of behavioral studies as well as being important in the design of context-aware systems. Recent studies have shown that speech contains rich information about emotion, and numerous speech-based emotion classification methods have been proposed. However, the classification performance is still ......
Blind separation of audio signals using trigonometric transforms and wavelet denoising
International Journal of Speech Technology - - 2010
Building a neural speech recognizer for quranic recitations
International Journal of Speech Technology - - Trang 1-21 - 2022
This work is an effort towards building Neural Speech Recognizers system for Quranic recitations that can be effectively used by anyone regardless of their gender and age. Despite having a lot of recitations available online, most of them are recorded by professional male adult reciters, which means that an ASR system trained on such datasets would not work for female/child reciters. We address th......
Multiclass support vector machines for environmental sounds classification in visual domain based on log-Gabor filters
International Journal of Speech Technology - Tập 16 - Trang 203-213 - 2012
This paper presents an approach aimed at recognizing environmental sounds for surveillance and security applications. We propose a robust environmental sound classification approach, based on spectrograms features derive from log-Gabor filters. This approach includes three methods. In the first two methods, the spectrograms are passed through an appropriate log-Gabor filter banks and the outputs a......
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