• Maithili Mahesh Joshi.
• Sachin V. Shinde.
• Bhakti Sunil Kadam
• Kalyani Deepak Darekar
• Nikita Arun Tamboli

Digital Assistance is computer program specially dedicated to assist user by responding to queries and performing basic tasks. It collects real time observations, which is use for better user experience and learn about the user's behavior. The digital assistant focuses at serving, the following most common and popular utilizations of digital assistant which are, question answering or information retrieval and implementing various local and/or remote services to perform tasks. Digital assistants make a use of advanced artificial intelligence (AI), natural language processing, natural language understanding, and machine learning to learn more about user and their environment in order to provide a personalized, chatty experience. The technologies require for digital voice assistant development are: Speech-To-Text (STT) And Text-To-Speech (TTS), Noise Control, Natural Language Processing (NLP), Natural Language Understanding (NLU), Natural Language Generation (NLG) and Deep learning. Digital assistant system uses microphone to capture the voice input of a user as a primary input. Users make use of a Microphone to capture the spoken input and a speaker to provide responses. The command block contains the main components to navigate the conversation of digital voice assistant with the user. ASR (Automatic speech recognition) is a method recognizer for speech, it forwards the recognition speculation to the NLU. A Natural Language Understanding (NLU) component can extract meaning as commands and associated entities from a pronouncement as text strings. Data providers obtain data using standard dataset from various sources for the better interaction.

Keywords: Artificial Intelligence, machine learning, deep learning, NLP, NLU, Noise control

"Digital Voice Assistant", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.f552-f556, December-2022, Available :http://www.jetir.org/papers/JETIR2212568.pdf

"Digital Voice Assistant", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppf552-f556, December-2022, Available at : http://www.jetir.org/papers/JETIR2212568.pdf