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30 articles for “Voice signal”
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Voice Controlled Home Automation
Abstract: The project, which we have worked is design for controlling of all home appliances by voice command with the help of android application. This project has been designed to helping of elderly and disabled people at home. Google application has been used as voice recognition and process the voice input with the help of smart phone. Here the voice input is being captured by the android and after capturing the …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 1, 2021 · pp. 23–28 Read article
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Implementation of an Adaptive Filter Algorithm with Subband Filtering Approach on Acoustic Echo Cancellation
Abstract: This paper focuses on model and its realization on digital signal processors (DSP) for suppressing annoying acoustic echoes in telephone and mobile communication applications. For cost sensitive subscriber devices and high quality voice communications the aims are 1) minimum computational complexity 2) maximum convergence speed and 3) maximum echo attenuation. The chosen method for the echo cancellation involves a sub band decomposition performing the adaptive filtering in subbands at a …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 28–34 Read article
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Voice Recognized D.C. Motor Drive
Abstract: Speed controlling of a DC motor is a very important as DC motor is very useful in many industrial applications. The advancement in solid state devices has made DC motor speed regulation easier and smoother. The variation in speed can be easily obtained by the help of PWM technique where the gate pulse monitors the speed. In recent times voice automated systems are becoming very common in our day to …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 1, 2023 · pp. 29–36 Read article
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Emotion Recognition based on Human voice tones
Abstract: In this period of technology and automation, human interaction with machines has become an unavoidable occurrence. Machines are making our lives much easier, stretching their hands wherever it is possible for smoother operation of various tasks. Emotion recognition system is one of the system that can help humans for a much easier and meaningful interaction with machines. It can be used in various branches such as artificial intelligence, health care, …
Published in Current Trends in Information Technology · Vol. 10, Issue 2, 2020 · pp. 1–5 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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Development of Polymer-Based Sensors for Speech Emotion Recognition
Abstract: Traditional SER research often utilizes microphones with polymer components like Diaphragms and Membranes. Within some microphone designs, polymer membranes which plays a crucial role in converting sound pressure into electrical signals. The paper highlights the application (speech emotion recognition) and have tried to find polymer-based sensors. This work further delves deeper, investigating the performance of the CatBoost algorithm for emotion recognition in voice assistants designed for Indian languages. The research …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 268–274 Read article
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Brain And Gesture Controlled Assistive System For Physically Challenged Individuals
Abstract: Assistive communication technologies are essential for improving the independence of individuals with physical and sensory disabilities. This paper presents the design and implementation of a multimodal assistive system that integrates brain signal acquisition and gesture recognition for real- time communication. The system utilizes an Electroencephalography (EEG) sensor to capture neural activity and a PAJ7620 gesture sensor along with an ADXL335 accelerometer to detect hand movements. The acquired signals are processed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 36–43 Read article
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Performance Evaluation of Adverse Atmospheric Effects on Free Space Optical Communication
Abstract: There is an increasing need for communication systems that can accommodate high bandwidth and quick data transfer rates in today's fast-paced technological environment. Free Space Optical (FSO) communication has become a very attractive technology to address these changing needs. FSO systems, which use license-free infrared beams, have a number of benefits, including strong bandwidth, immunity to interference, improved security, and small, light designs. FSO is used in many different applications, …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
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Automatic Wheelchair
Abstract: Automated wheelchair for physically disabled person is a dependent user recognition voicesystem and ultrasonic and infrared sensor systems have been integrated in this proposedwheelchair. In this an automation wheelchair which can be driven using voice commands andwith the possibility of avoiding obstacle by using infrared sensors and downstairs or holddetection by using ultrasonic sensors was proposed. The wheelchair has been developed towork on movement of accelerometer which will help for …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 1, 2020 · pp. 21–27 Read article
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HMM-Based Text-to-Speech Synthesis & Stressed Speech Processing
Abstract: According to this paper, the new system produces synthetic speech that is noticeably higher-quality thanspeaker-dependent systems when actual speech data sets are used, and it can compete with speaker-dependent approacheseven in situations when substantial speech data sets are available. This excitation signal, the glottal source, has naturallypiqued the interest of speech synthesis, and a variety of techniques have been developed to mimic the glottal source ofspontaneous speech.The use of artificial …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 7–14 Read article