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Artificial intelligence based virtual voice assistance
Published in Sangeeta Jadhav, Rahul Desai, Ashwini Sapkal, Application of Communication Computational Intelligence and Learning, 2022
Pranjal Gajendragadkar, Seema Rajput, Harjeet Kaur
This system [7] is intended for usage on desktop computers. Personal assistant software boosts user productivity by managing mundane chores and giving information from web sources. Voice search is a two-stage search approach in which Automatic Speech Recognition ASR-generated string candidates are re-scored to find the best matching entry from a potentially massive application-specific database. The virtual assistants of the future will be integrated with Artificial Intelligence, which encompasses ML, Neural Networks (NN), and so on, as well as IoT. We shall be able to reach new heights with the adoption of these technologies [7].
Advancements and Innovation in Digital Marketing and SEO
Published in Abid Hussain, Garima Tyagi, Sheng-Lung Peng, IoT and AI Technologies for Sustainable Living, 2023
Anubha Jain, Chhavi Jain, Rahul G. Kargal, Salini Suresh
Voice Search enables a user to search for information from the internet using a simple voice command. Natural Language Processing (NLP) Technology makes this possible and applications like Google Voice Search have revolutionized the function of ‘search’.
Extreme deep learning in biosecurity: the case of machine hearing for marine species identification
Published in Journal of Information and Telecommunication, 2018
Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis
Hinton et al. (2012) presented four successful DELE research approaches for acoustic modelling in sound recognition, namely: Bing-voice-search speech recognition, Switchboard speech recognition, Google voice input speech recognition and YouTube speech recognition.