Performance Optimization of Voice-Assisted File Management Systems
In this paper, we present a novel approach for managing the file system in Linux using a voice assistant. Our system allows users to perform file system operations such as creating directories, renaming files, and deleting files by issuing voice commands. We develop a voice assistant using Python libraries and integrate it with the file system in Linux. The voice assistant is capable of understanding natural language and executing commands based on the user’s voice inputs. We conduct experiments to evaluate the performance of the system and demonstrate that our approach is effective and efficient in managing the file system using voice commands. Our system can enhance the accessibility and usability of the file system in Linux for individuals with disabilities or those who prefer a hands-free approach to file management.
Christensen, Anders T and Olesen, Henning and Sørensen, Lene. ”Dig- ital Voice Assistants: A new kind of user agent,” 2020 13th CMI Con- ference on Cybersecurity and Privacy (CMI)-Digital Transformation- Potentials and Challenges (51275).
Sangpal, Ravivanshikumar and Gawand, Tanvee and Vaykar, Sahil and Madhavi, Neha. ”JARVIS: An interpretation of AIML with integration of gTTS and Python,” 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).
Subhash, S and Srivatsa, Prajwal N and Siddesh, S and Ullas, A and Santhosh, B. ”Artificial intelligence-based voice assistant,” 2020 Fourth world conference on smart trends in systems, security and sustainability (WorldS4).
Akash, S and Jayaram, Neeraj and Jesudoss, A. ”Desktop based Smart Voice Assistant using Python Language Integrated with Arduino,” 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS).
Kumar, Aabhas and Kaur, Damandep and Pathak, Abhishek Kumar. ”Voice Assistant Using Python,” 2022 International Conference on Cyber Resilience (ICCR).
Dinesh, RS Sai and Surendran, R and Kathirvelan, D and Logesh, V. ”Artificial Intelligence based Vision and Voice Assistant,” 2022 Interna- tional Conference on Electronics and Renewable Systems (ICEARS).
Sati, Bhawana and Kumar, Sameer and Rana, Karan and Saikia, Kuhil and Sahana, Subrata and Das, Sanjoy. ”An Intelligent Virtual System using Machine Learning,” 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET).
Overstreet, Dain and Wimmer, Hayden and Haddad, Rami J. ”Penetra- tion testing of the amazon echo digital voice assistant using a denial- of-service attack,” 2019 SoutheastCon.
Kumaran, N and Rangaraj, V and Dhanalakshmi, R and others. Intelli- gent Personal Assistant-Implementing Voice Commands enabling Speech Recognition,” 2020 International conference on system, computation, automation and networking (ICSCAN).
Iannizzotto, Giancarlo and Bello, Lucia Lo and Nucita, Andrea and Grasso, Giorgio Mario. ”A vision and speech enabled, customizable, virtual assistant for smart environments,” 2018 11th International Con- ference on Human System Interaction (HSI).
De, Shilpa and Kumar, Vishwas and Reddy, Ram. ”Voice-Assistant Live- ness Analysis,” 2022 IEEE Silchar Subsection Conference (SILCON).
Rajakumar, P and Suresh, K and Boobalan, M and Gokul, M and Kumar, G Darun and Archana, R. ”IoT Based Voice Assistant using Raspberry Pi and Natural Language Processing,” 2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).
Buchta, Karolina and Wo´jcik, Piotr and Nakonieczny, Konrad and Janicka, Justyna and Igras-Cybulska, Magdalena. ”NUX Characters- interaction with voice assistants in Virtual Reality,” 2022 IEEE Interna- tional Symposium on Mixed and Augmented Reality Adjunct (ISMAR- Adjunct).
Yadlapally, Dhanush Kumar and Vasireddy, Bhavana and Marimganti, Madhumitha and Chowdary, Teja and Karthikeyan, C and Vignesh, T. ”A Review on the Potential of AI Voice Assistants for Personalized and Adaptive Learning in Education,” 2023 7th International Conference on Computing Methodologies and Communication (ICCMC).
Klein, Andreas M and Hinderks, Andreas and Schrepp, Martin and Thomaschewski, Jo¨rg. ”Measuring user experience quality of voice assistants,” 2020 15th Iberian Conference on Information Systems and Technologies (CISTI).
RajkumarPillay, D and Binda, MB and Krishna, ManamVamsi and Saravanan, A and Raja, Archana and Saxena, Pankaj. ”Implementing an Artificial Intelligence based Ideal form of Virtual Personal Assistant Design for Various Communication Medium,” 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC)
Copyright (c) 2024 International Journal of Engineering and Computer Science
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.