Conversational AI, a facet of artificial intelligence (AI), enables the simulation of human-like conversation. It harnesses Natural Language Processing (NLP), an AI discipline that empowers computers to comprehend and interact with human language. Conversational AI systems undergo training using extensive datasets comprising text and speech, facilitating the system's comprehension and processing of human language. Leveraging this knowledge, the system naturally engages with humans, continuously learning and enhancing the quality of its responses through interaction.
To empower participants in this domain, we are conducting a workshop on the topic “National Workshop on Natural Language Processing for Conversational AI” This workshop will give insight into tools and techniques involved in the Conversational AI domain as well as many case studies for different applications using Python, MATLAB, and Kaldi toolkit with the help of academia and industry people. The following domains of Conversational AI will be covered during workshop.
Speech Recognition (Speech-to-Text)
Overview of Speech Recognition technology and its role in Conversational AI. Key concepts, methodologies, Demonstration/Hands-on for the state-of-the-art methods and current challenges.
Speech Synthesis (Text-to-Speech)
Introduction to Speech Synthesis, focusing on generating natural-sounding speech from text. Demonstration/Hands-on for the state-of-the-art methods and current challenges.
Chatbot Development
Learn the fundamentals of chatbot design, NLU, and NLG. Demonstration/Hands-on for the state-of-the-art methods and current challenges.
Machine Translation
Understand Machine Translation systems, focusing on neural approaches for translating text between languages. Demonstration/Hands-on for the state-of-the-art methods and current challenges.
Question Answering Systems
Explore QA systems that provide precise answers to user queries using deep learning. Demonstration/Hands-on for the state-of-the-art methods and current challenges.
Dialogue Systems
Learn to develop AI-based dialogue systems for natural, multi-turn conversations. Demonstration/Hands-on for the state-of-the-art methods and current challenges.
Key Features-
- Offline/Live lecture sessions by domain experts
- Live demonstration on the building of end-to-end Automatic Speech Recognition using various Deep Learning architectures.
- Live demonstration on the building of Speech Synthesis systems using various Deep Learning architectures.
- Hands-on session to implement Chatbot for different applications
- Live demonstration for building a machine translation system
- Hands-on session for Question-Answering and Dialogue System
- Follow-up sessions and discussion forums on research problems and internships