IVA : An Intelligent Virtual Assistant System Implementation using Speech and Speaker Recognition
Keywords:
IVA, Speech recognition, Speaker verification, pyttsx3, MFCC, GMM, python 3.7.2, pyqt5, Windows OS.Abstract
Currently, many people use IOT-based voice recognition devices such as Siri by Apple, Alexa by Amazon and Echo from Google. Where there is a boost in IOT devices to the contrary, there is hardly any speech recognition software like Cortana that has very few desktop features. Another fall of these technologies is the security issue because it stores its data in the cloud which can be recovered by any technique and can be used improperly. To overcome above issues this paper proposes IVA, a voice-based intelligent virtual assistant comprising of speech recognition and speaker recognition technology specifically for windows operating system. IVA incorporates the ability to recognize the user's voice to check for security violations and also provide a personalized account to the end user. IVA firstly checks if the user is an authorized user or not and if user voice is detected successfully, then it opens user personalized account to perform some of the common tasks such as playing audio/video files, searching through the web, setting alarms and scheduler, etc.
References
- Ravivanshikumar Sangpal, Tanvee Gawand, Sahil Vaykar, and Neha Madhavi, of Computer Technology, Government Polytechnic Pen “JARVIS: An interpretation of AIML with integration of gTTS and Python” 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).
- Saadman Shahid Chowdury, Atiar Talukdar, Ashik Mahmud, Tanzilur Rahman, “Domain specific Intelligent personal assistant with bilingual voice command processing”, IEEE 2018.
- Polyakov EV, Mazhanov MS, AY Voskov, LS Kachalova MV, Polyakov SV “Investigation and development of the intelligent voice assistant for the IOT using machine learning”, Moscow workshop on electronic technologies, 2018.
- Veton Kepuska and Gamal Bohota “Next generation of virtual assistant (Microsoft Cortana, Apple Siri, Amazon Alexa and Google Home)”, IEEE conference, 2018.
- Virtual assistant: What is it, 10 2017 [online] Available: www.searchcustomerexperiences.techtarget.com
- Laura BURbach, Patrick Halbach, Nils Plettenberg, Johannes Nakyama, Matrina Ziefle, Andre Calero Valdez “Ok google, Hey Siri, Alexa. Acceptance relevant of virtual voice assistantS”, International communication conference, IEEE 2019.
- Satyam P. Todkar, Snehal S. Babar, Rudrendra U. Ambike, Prasad B. Suryakar Department of Computer Engineering Sinhgad College of Engineering Pune, India “Speaker Recognition Techniques: A review” 2018 3rd International Conference for Convergence in Technology (I2CT), Apr 06-08, 2018.
- Subhash S, Prajwal N, Siddhesh S, Ullas A, Santosh B Department of Telecommunication Engineering Dayananda Sagar College of Engineering Bengaluru, India “Artificial Intelligence-based Voice Assistant”, 2020 IEEE.
- Shilpa S. Jagtap and D.G.Bhalke Department of Electronics and Telecommunication Engineering Rajarshi Shahu College of Engineering, Tathawade, Savitribai Phule Pune University, Pune, India “Speaker Verification Using Gaussian Mixture Model”, 2015 IEEE.
- A.M.T.S.B. Adikari, S. Devadithya, A.R.S.T. Bandara, K.C.J. Dharmawardane and K. C. B. Wavegedara Department of Electronic and Telecommunication Engineering University of Moratuwa Moratuwa 10400, Sri Lanka “Application of Automatic Speaker Verification Techniques for Forensic Evidence Evaluation”, IEEE.
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