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49 articles for “speech processing”
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ChatGPT Based Voice Assistant for Blind People
Abstract: The proposed system for converting speech input into text format to facilitate interaction with ChatGPT is a sophisticated integration of hardware and cloud-based services. Utilizing state-of-the-art technologies, it facilitates seamless communication between users and the AI model. At the outset, the microphone serves as the input device, capturing audio signals from the user's speech. These signals are then amplified to ensure clarity and fidelity before being transmitted to the ESP32 …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 23–31 Read article
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Deep Learning Approach to Produce Artificial Speech (Text-To-Audio)
Abstract: This program utilizes key features of the .NET framework to facilitate smooth text-to-speech conversion and audio playback. Upon execution, users are prompted to input text via a graphical user interface (GUI), which the program converts into speech using the ‘SpeechSynthesizer’ class from the ‘System. Speech.Synthesis’ namespace. The audio that has been synthesized is handled and stored as a WAV file called ‘output.wav’ by utilizing the ‘FileStream’ class, allowing for future …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 28–33 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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Real-Time Multilanguage Platform with Encryption
Abstract: The proposed system, titled “Real-Time Multilanguage Platform With Encryption”, is designed to enable fast, reliable, and secure communication across various languages without relying on any third-party APIs. It utilizes a built-in audio-to-text conversion mechanism that processes spoken input using Python-based libraries like Speech Recognition or OpenAI’s Whisper, ensuring high accuracy in transcriptions. Once the audio is converted to text, the platform employs an offline translation engine to convert the transcribed …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support on Streamlit
Abstract: Mental health concerns are increasingly recognized as one of the most pressing global challenges, with millions of people struggling to access timely, affordable, and personalized support. Barriers such as stigma, lack of professional availability, language differences, and geographical limitations often prevent individuals from seeking help when they need it most. To address this critical gap, this study introduces MindMate, an AI-powered multilingual chatbot specifically designed to provide both text-based and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 40–50 Read article
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Historical Anatomy On Issues of Language Decay, Survival and Change
Abstract: This paper examines issues of language decay, survival and change. The fortunes of language can rise and fall and are intimately linked to the fortunes of their speakers. In the modern world, relatively few languages are becoming more widely spoken, and smaller languages are finding it harder and harder to survive. Prospects are not totally dire, though; several smaller languages have been successfully resurrected, and efforts are in motion to …
Published in Emerging Trends in Languages · Vol. 1, Issue 1, 2024 · pp. 12–18 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Gesture Vocalizer Using Arduino
Abstract: Science and technology have been an indispensable part of our lives, driving innovation and transforming the way we communicate. Communication barriers between the hearing-impaired and the hearing population pose significant challenges in daily interactions. Sign language, a primary mode of communication for the deaf and mute communities, is not universally understood by the general public. This research work presents a novel system for real-time sign language to speech conversion, aiming …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 14–25 Read article
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An Adaptive and Privacy-Aware Federated Learning Framework for Efficient and Secure Model Training Across Heterogeneous Datasets
Abstract: The problem of efficiency and privacy regarding heterogeneous data in modern distributed machine learning systems is a vital point that should be taken into account. The absence of IID data distribution, client heterogeneity, and privacy invasion during the aggregation model are the bane of conventional federated learning (FL) approaches to learning like FedAvg and FedProx. The paper proposes that the adaptive and privacy-aware FL framework (AFL-P) can be used to …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 16–25 Read article
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Enhancing Interview Preparedness: Development of A Comprehensive AI-Driven Mock Interview System
Abstract: In the contemporary era of virtual interviews, the need for a comprehensive system to prepare users for online interviews is imperative. Mock interviews serve as invaluable tools for enhancing confidence and communication skills, ultimately improving performance. This paper introduces a groundbreaking AI-Driven Mock Interview System (MIS) fortified with cutting-edge Natural Language Processing (NLP) methodologies, specifically targeting syntax and semantic analysis. The MIS integrates a robust JSON-based question- answer repository spanning …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 19–25 Read article
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Revolutionary Cursor Control Systems: Enhancing Human-Computer Interaction
Abstract: This project delves into leveraging artificial intelligence within virtual mouse systems to elevate human-computer interaction. The main objective is to improve user experience, increase efficiency, and introduce new ways of interaction. Employing artificial intelligence techniques such as computer vision, gesture recognition and speech recognition, the virtual mouse system adeptly tracks hand movements, interprets voice commands, recognizes gestures, and processes user inputs for seamless interactions. Tailoring features for design, gaming, accessibility, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 45–52 Read article
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Impact of Assistive Technologies in Academic Evaluation for Students with Specific Learning Disabilities Studying in Secondary Schools of Koshikode District, Kerala
Abstract: The inclusion of assistive technologies (AT) in academic assessment has made the learning experience of students who have specific learning disabilities (SLDs) much more fruitful. This paper discusses the effects of text-to-speech (TTS) and speech-to-text (STT) as applied in the academic performance of secondary school students with SLDs in Kerala regarding their effectiveness in improving their examination performance, understanding, and confidence. This method was a mixed design, which required 30 …
Published in International Journal of Children · Vol. 3, Issue 1, 2026 · pp. 1–8 Read article
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Comparative Analysis Between Librosa and OpenSMILE
Abstract: This research work focuses on comparative study of Librosa, a python-based library, and openSMILE, a C++ toolkit, with python bindings used in audio speech analysis. Librosa is ideal for beginners due to its simple structure and flexibility with strong integration with machine learning frameworks like TensorFlow and PyTorch. On the other hand, OpenSMILE is ideal for speech-centric tasks like speech-emotion recognition or paralinguistic studies, offering a wide range of pre-defined …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 06–10 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
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Sign Talk for Blind and Deaf Translating Hand Gestures into Audible and Textual Communication
Abstract: Sign language serves as a vital communication method for individuals who are deaf or have hearing impairments. It relies on hand gestures, facial cues, and body language to convey messages and express meaning. However, many people who do not know sign language find it hard to communicate with sign language users. The latest progress in artificial intelligence and computing has enabled the creation of systems that can automatically recognize sign …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 20–26 Read article
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Assistive Technology Advancements: Revolutionising Support for Individuals with Specific Learning Disabilities
Abstract: Assistive Technology (AT) has become an offer to revolutionise the provision of people with specific Learning Disabilities (SLD), making the learning process more inclusive and equal. In this paper, the current developments in AT will be discussed that cater to fundamental learning issues in reading, writing and mathematics. Text-to-speech and speech-to-text innovations, mind-mapping tools, and others are important innovations that improve reading comprehension and written expression, as well as strength …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Enhanced Task Automation through IoT and ChatGPT Integration in Personal AI Companions
Abstract: A new breed of clever, likable, and natural-sounding personal AI companions could be produced by integrating ChatGPT with IoT gadgets. The Internet of Things (IoT) and artificial intelligence (AI) are developing at a rapid pace, which has created exciting new opportunities for the creation of intelligent and personalized companions. The goal of this suggested system is to improve user experiences by offering a flexible AI-driven assistant. It does this by …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 19–24 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
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Sanskruti AI : Rediscovering Indian Culture Using Artificial Intelligence
Abstract: Away from old ways, many young people in India now find customs hard to reach, losing touch with sacred texts, local traditions, and deeper beliefs. Into this space steps Sanskruti AI - an intelligent tool using sound, text, and vision to bring culture closer, tailored to how today & users think and feel. Instead of flat translations, it unpacks verses from Sanskrit with layers: word-for-word sense, background context, inner meaning. …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article