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17 articles for “Speech to text Converter”
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Ensuring Excellence: Quality Assessment of English Text and Speech Data Using NLP and ML
Abstract: The effectiveness and precision of speech processing and natural language processing (NLP) applications are substantially influenced by the quality of text and speech input. The combination of NLP and Machine Learning (ML) techniques has shown tremendous promise in recent years for improving the quality of written and verbal data. The present research enables a thorough investigation of techniques and strategies to enhance data quality using NLP and ML. The results …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 31–37 Read article
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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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Voice Control Music System Using Raspberry Pi
Abstract: This paper presents a voice-controlled music system using Raspberry Pi, designed for hands-free music playback through voice commands. The system is implemented using Raspberry Pi 4B, a microphone, a speaker, and a 32GB SD card. The software is developed in Python using Thonny IDE, leveraging libraries such as SpeechRecognition, PyAudio, and gTTS for speech processing and audio playback. The system recognizes user commands like play, pause, next, and stop, converting …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 34–39 Read article
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Speech to Text Using NLP
Abstract: Speech to text model is automatic speech recognition model which converts the spoken words into the corresponding text of that word.The objective of this system is to take input from the user in audio format and convert it into the words, which would be designed for the application of ATVM machine. The model for speech to text is created by using the neural networks to train the dataset of various …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 4–8 Read article
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Speech-Text-Speech Translator: A Generative AI Framework for Real-Time, Identity-Preserving S2S Translation
Abstract: Different languages have been proved a great obstacle to global communication despite the internet's role in allowing information sharing all over the world. While presenting an extensive number of current solutions, traditional Machine Translation (MT) systems are unable to convey complex contextual information and dialects including "Hinglish". Above all, the voice of the interlocutor is lost and is replaced with an artificial one, programmed to mimic the voice of the …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 47–57 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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Real-time Conversational AI Application for Healthcare Domain
Abstract: Real-time Conversational AI Application for Healthcare Domain’s primary goal is to create a real- time communication plan to reduce low-pitch sounds and noise levels. We’re using Nvidia Nemo SDK, Nvidia Riva, Amazon Services, and open-source platforms like RASA and Facebook Blender 2.0 chatbot. Our chatbot differs from conversational AI-based chatbots because neural networks are used in text mining consumer feedback. We can say that Conversational AI applications are Intelligent Virtual …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 11–31 Read article
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Empowering Accessibility: A Review of Text-to-Speech Systems for the Visually Impaired with Raspberry Pi
Abstract: The automatic text reader for people who are blind is presented in the paper. built on a Raspberry Pi. It makes use of computer programming and image sensing tools to identify printed characters employing optical character recognition technology. It creates machine-encoded text from an image using text that has been printed, typed, or written by hand. In the present work, text-to-speech synthesis and OCR are used to convert the image …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 16–21 Read article
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Artificial intelligence and its uses in speech recognition
Abstract: Innovative technologies utilising artificial intelligence have transformed the way we live. Every sector of society has been significantly impacted by AI, which has swept through every industry. The term "artificial intelligence" was first used at a symposium in 1956. The conference's discussion on multidisciplinary information technology and natural language production. Technology advanced enormously as a result of the development of the internet. Thirty years ago, artificial intelligence technology was a …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 2, 2022 · pp. 46–49 Read article
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An Insight for Visually Impaired using AI Techniques
Abstract: We know that the life of blind people is very risky. They always need an assistance or another person for helping them.In this project we introduce AI spectacles for blinds, which will help them to find what is happening in front of them and they will be able to find their own things without any help. In this proposed system,weareusing a real time object detection using YOLOv3 model.‘You only look …
Published in Journal of Artificial Intelligence Research & Advances · pp. 1–8 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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Real-time Voice-over Translation
Abstract: The real-time voice-over translation project stands as a pioneering endeavor poised to reshape the landscape of cross-cultural communication. In response to the escalating demand for fluid interaction amidst linguistic diversity, this initiative sets out to engineer a transformative solution. Its core objective lies in the seamless mediation of language barriers during real-time exchanges. Through the fusion of cutting-edge speech recognition and machine translation technologies, the project endeavors to fabricate a …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 24–32 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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Optical/Handwritten Data Recognition
Abstract: For many years, optical character recognition (OCR) has been a hot topic. It's the process of breaking down a document image into its individual characters. Despite decades of intensive research, producing OCR with human-like skills is still a work in progress. The industries have long used localization and recognition of written characters for a number of applications. When working in a sterile environment, such as scanners or static settings, most …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 22–31 Read article
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Sign To Speech Converter For Hard To Hear And Speech Impaired People
Abstract: An enormous populace in India alone is of the hard of hearing and disabled individuals. So the framework is dealing with a glove based gadget which will be utilized for change of communication through signing to discourse. The gesture-based communication glove comprise of a straightforward hand gloves fitted with flex sensors which is being utilized for the checking how much curve on the fingers. Flex implies bend, this is the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 42–47 Read article
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A Study of ROI Based Sign Language to Text Translation in Real Time Using Deep Learning
Abstract: Since sign language is their primary form of communication, it plays a significant role in the lives of hearing and speech disabled people. However, since not everyone is conversant in sign language, it is challenging for the disabled to interact with others daily. Sign language is made up of a variety of hand gestures that may stand in for a wide range of words and sentiments. The purpose of this …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Vision Compromised Communication Technology
Abstract: 2001 census of India indicates that nearly 21 million of its citizens are disabled. This constitutes a significant fraction of our population. Out of this figure a large number of people are visually handicapped. They have problem related with their visual capability i.e. either they can’t see things completely (totally blind) or have vision problem related to contrast, color, distance, unclear vision etc. (partially blind). The field of medical science …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 1, 2015 · pp. 19–37 Read article