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Vol. 8, Issue 1 (2019)

AI voice assistant implementation for enhanced user experience and efficiency

Nisha Jha
Voice commands. In this abstract, we will discuss the development of a voice assistant using Python. The voice assistant will use natural language processing (NLP) and machine learning techniques to recognize and understand voice commands. The system will be trained to recognize a set of predefined commands and perform the corresponding actions, such as opening applications, setting reminders, making phone calls, and searching the internet. The voice assistant will be implemented using Python's speech recognition library, which will convert the voice commands into text, and the Natural Language Toolkit (NLTK), which will be used for text processing and classification. The system will also incorporate text- to-speech (TTS) functionality using the pyttsx3 library, which will enable the voice assistant to provide spoken responses to the user. The voice assistant will provide a hands-free and convenient way for users to interact with their computers, making it an efficient tool for completing various tasks.
Pages: 725-728  |  85 Views  32 Downloads

The Pharma Innovation Journal
How to cite this article:
Nisha Jha. AI voice assistant implementation for enhanced user experience and efficiency. Pharma Innovation 2019;8(1):725-728. DOI: 10.22271/tpi.2019.v8.i1l.25408

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