Results 1 to 10 of about 22,324 (134)
IEEE Access, 2017 Environmental noise and reverberation conditions severely degrade the performance of forensic speaker verification. Robust feature extraction plays an important role in improving forensic speaker verification performance.
Ahmed Kamil Hasan Al-Ali +2 more
exaly +3 more sources
Detect Multi Spoken Languages Using Bidirectional Long Short-Term Memory [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2023 Many speaker language detection systems depend on deep learning (DL) approaches, and utilize long recorded audio periods to achieve satisfactory accuracy.
Fawziya Ramo, Mohammed Kannah
doaj +1 more source
Speech analysis for the detection of Parkinson’s disease by combined use of empirical mode decomposition, Mel frequency cepstral coefficients, and the K-nearest neighbor classifier [PDF]
ITM Web of Conferences, 2022 Parkinson’s disease (PD) is one of the neurodegenerative diseases. The neuronal loss caused by this disease leads to symptoms such as lack of initiative, depressive states, psychological disorders, and impairment of cognitive functions as well as voice ...
Boualoulou N. +3 more
doaj +1 more source
Arabic Speaker Identification System Using Multi Features [PDF]
Engineering and Technology Journal, 2020 The performance regarding the Speaker Identification Systems (SIS) has enhanced because of the current developments in speech processing methods, however, an improvement is still required with regard to text-independent speaker identification in the ...
Rawia Mohammed, Nidaa Hassan, Akbas Ali
doaj +1 more source
Mel Frequency Cepstral Coefficient and its Applications: A Review
IEEE Access, 2022 Feature extraction and representation has significant impact on the performance of any machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to model features of audio signal and is widely used in various fields.
Zrar Kh. Abdul +1 more
doaj +1 more source
Enhancing Performance of End-to-End Gujarati Language ASR using combination of Integrated Feature Extraction and Improved Spell Corrector Algorithm [PDF]
ITM Web of Conferences, 2023 A number of intricate deep learning architectures for effective End-to-End (E2E) speech recognition systems have emerged due to recent advancements in algorithms and technical resources.
Bhagat Bhavesh, Dua Mohit
doaj +1 more source
Traffic State Evaluation Using Traffic Noise
IEEE Access, 2020 Traffic state information is widely applied into all aspects of Intelligent Transportation System (ITS), such as the macro-control of government departments, the implementation of traffic managers' plans, the decision-making of residents travel, and so ...
Qinglu Ma, Zheng Zou
doaj +1 more source
Environment Sound Classification Based on Visual Multi-Feature Fusion and GRU-AWS
IEEE Access, 2020 There are two major questions regarding Environmental Sound Classification (ESC). What is the best audio recognition framework, and what is the most robust audio feature?
Ning Peng +6 more
doaj +1 more source
Journal of Information and Telecommunication, 2022 Analysing the human voice has always been a challenge to the engineering society for various purposes such as product review, emotional state detection, developing AI, and much more.
Mohammad Amaz Uddin +3 more
doaj +1 more source
Speaker Recognition Systems in the Last Decade – A Survey [PDF]
Engineering and Technology Journal, 2021 Speaker Recognition Defined by the process of recognizing a person by his\her voice through specific features that extract from his\her voice signal. An Automatic Speaker recognition (ASP) is a biometric authentication system.
Ahmed M. Ahmed, Aliaa K. Hassan
doaj +1 more source