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30 articles for “Voice signal”
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Evaluation of Speech Recognition System for Security Purposes using Comparative Correlation Method
Abstract: Humans rely heavily on language for communication and most often, speech (oral) is one of the commonest means of communication. The speech recognition system is a smart system which grants access to users by recognizing the speech of the authorized user. Speech recognition is smart and precise in terms of authentication and validation. The problem with most security systems is imbalance pitch estimation, random noise and increment in theft due …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 1–9 Read article
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Arduino Based Voice Recognition Microwave Oven
Abstract: AbstractAs we age, simple everyday tasks become difficult to perform. Simply enjoying a hot nutritious meal may be difficult because of the natural impairments and declines in health conditions. The microwave oven has become an essential household appliance to ensure independent living for the elderly or persons with disabilities. By its very nature it provides flexible and convenient cooking options without the safety concerns of either gas or electric burners. …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 1–4 Read article
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AI Voice Detection Tool
Abstract: In today’s digital era, distinguishing between AI-generated and human voices is more important than ever. This project introduces an AI-based voice detection system designed to accurately identify synthetic voices, ensuring security and authenticity across various applications like cybersecurity, media verification, and fraud prevention.Our system works by analyzing incoming audio samples and comparing them against a diverse database of both AI-generated and real human voices. Using advanced machine learning and signal …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 1–8 Read article
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A Review Of Deep Learning Applications For Speech Processing Improvement
Abstract: Improve the quality of the spoken word is a common goal for many audio and speech signal processing applications. A noisy voice signal's quality and understandability may be improved via speech augmentation. Speech augmentation is critical in a wide range of fields, including hearing aids, ASR, and mobile communication. DNN-based architectures for speech recognition and augmentation have shown to be quite effective in recent years, according to a new study. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 14–19 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article
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Voice based Control of Appliances using LabVIEW
Abstract: A voice based control of appliances for home and office automation become increasingly important and interesting. Automation with the voice provides better time management. These also improve the quality of our lives by automating some of the electrical home appliances such as light source, A/V equipment, computer, security device, etc. In this paper a voice based control of devices using LabVIEW is implemented. User can input the control command through …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 1, 2014 · pp. 53–58 Read article
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The Potential of Li-Fi for High-Speed Underwater Data Transfer
Abstract: Recently, there has been a growing interest in using underwater communication (UC) to monitor obstacles and marine life in oceans. Unlike conventional methods which struggle due to the absorption of radio waves in water, Li-Fi technology has emerged as a promising solution. Li-Fi utilizes light to transmit data, making it effective for underwater communication as light can penetrate deep into the ocean. In a recent study, researchers successfully demonstrated real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 10–17 Read article
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Optimized Residual Neural Network for Audio Spoof Detection in Speaker Verification Systems
Abstract: The Automatic speaker verification system is a type of biometric technology that utilizes speech to determine if a person is an authentic user or not. Unfortunately, such systems can be susceptible to audio-spoofing attacks. The proposed work deals with this problem of Audio Spoofing by employing Residual Networks to determine if a voice signal is bonafide or not. A comparative study of Mel-frequency Cepstral coefficients (MFCC), Constant Q Cepstral Coefficients …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 19–32 Read article
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Review on Modern Electronics Communication System and Electromagnetic Spectrum used for Wireless Communication
Abstract: Electronic communication is a modern type of communication system. In modern Electronic communication, by using Electronic instruments or devices we can communicate with each other very easy and fast. For designing instruments or devices, numbers of Electronic circuits are used. Communication takes place by transmitting and receiving information signal by means of Chanel or medium. Information signal like voice, images, videos, different signals, different data, etc are we can communicate …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 2, 2019 · pp. 25–28 Read article
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Analysis of Speech Using Different Methods
Abstract: In speech analysis, the voiced-unvoiced decision is usually performed in extracting the information from the speech signals. In this paper, two methods are performed to separate the voiced and unvoiced parts of the speech signals. These are zero-crossing rate (ZCR) and energy. In here, we evaluated the results by dividing the speech sample into some segments and used the zero-crossing rate and energy calculations to separate the voiced and unvoiced …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 11–25 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
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Advancements in Smart Hand Gloves for Paralysis Rehabilitation: A Review
Abstract: With the help of Smart Hand Gloves, people with disabilities can live alongside healthy people. A deaf person can use this smart glove to translate his hand signals into text and voiceovers because they cannot speak. This makes it simpler for the typical person to understand what he is saying and to react accordingly. With the help of these smart gloves, people with physical limitations can live freely by being …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 19–24 Read article
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A Hybrid voice identification System with Fuzzy Technique and ART2 Neural Network on BPF Technique
Abstract: Abstract:In this work, we evaluate the performance of voice identification through the hybrid method using fuzzy and Adaptive Resonance Theory2. The Voice identification is an important task, which shows the active interaction of natural human-machine, for over last important two decades. The objective of this work, it is consists in working out an identification rate of voice identification. The proposed methodology presented allows evaluating the identification process which considers a …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 3, 2018 · pp. 1–6 Read article
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Speaker Recognition System Through Matlab
Abstract: This paper presents the work on the Speaker Recognition System through the MATLAB software. Speaker recognition means recognizing the person who is actually speaking rather than knowing what has been said. This system is widely used in banking, security systems, voice mail, etc. This paper presents three stages of the system, namely, the voice acquisition stage in which data (speech signal) is acquired from the speaker and is stored for …
Published in Current Trends in Signal Processing · Vol. 3, Issue 2, 2013 · pp. 26–29 Read article
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Implementation of Adders Using Ternary Based Multiple Valued Logic
Abstract: In today’s world VLSI chips are widely used in various branches of Engineering like Voice and Data communication networks, Digital signal processing, Computers, Commercial Electronics, Automobiles, Medicine and many more. So, there have been major advances in IC technology which have both made feasible and generated great interest in electronic circuits which employ more than two discrete levels of signals such circuits called Multiple valued logic circuits, offer several potential …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Bandwidth Extension of Speech Signal Artificially & Transmission & Coding for Wireless Communication
Abstract: AbstractIn today’s next generation wireless communication, decoded speech quality at recipient side initiate quiet and slim; mainly recognized to intrinsic band limitation (300-3400 Hz). so as to increase clearness and genuineness of improved speech signal. Narrowband speech coders be supposed to promote to wideband coders supports bandwidth of 50-7000Hz. extensive time duration has been left for advancement from narrowband to fully wideband well-suited systems. Many smart devices at the present …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 111–116 Read article
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Design of Three-Stage Pipelined Floating Point Arithmetic Operators
Abstract: Some embedded systems perform signal processing operations (Fourier transform, filtering) as for example for the recognition voice, high quality audio and control of critical systems (airplane, rocket). This type of operation may require the use of floating numbers. This paper presents the hardware implementation of floating point arithmetic operators for addition, subtraction, multiplication using the IEEE-754 single precision format. Proposed architecture follows two different RTL approach, Melay FSM and multiplexer …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 9–22 Read article
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Smart and adaptive cutting-edge IoT based implementation for remote environments
Abstract: In remote, mountainous, or snow-covered regions, mobile networks and GPS signals usually become unreliable, which creates major challenges for search and rescue (SAR) operations. To overcome the issue, this paper presents a compact, low-power, voice-activated wearable device that integrates LoRa communication with a TinyML-based keyword detection system. The proposed device enables individuals to send signals in areas where GPS coverage is unavailable. Using the Received Signal Strength Indicator (RSSI), the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article