Virtual Bot Powered by Machine Learning and NLP Technologies: Emulating Human-Like Conversations through Speech-to-Text Conversions

Virtual Bot Powered by Machine Learning and NLP Technologies: Emulating Human-Like Conversations through Speech-to-Text Conversions

Ms. Gowda Pooja Ashok1, Prof. Amos R2

1PG Student, Department of MCA, MITM

2 Assistant Professor, Department of MCA, MITM

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Abstract -The rapid advancements in machine learning and natural language processing (NLP) technologies have paved the way for the development of virtual bots capable of emulating human-like conversations. These virtual bots, also known as chatbots or conversational agents, utilize speech-to-text conversions to understand user input and generate appropriate responses. This research paper explores the key components and techniques involved in creating a virtual bot that leverages machine learning and NLP to facilitate human-like interactions. We discuss the challenges and opportunities associated with developing such virtual bots, including data collection, model training, and real-time speech recognition. Furthermore, we highlight the potential applications and future directions of virtual bots in various domains, such as customer service, personal assistants, and education.

Key Words: Speech to text, NLP, Audio Transcribe.