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Project

Robust Speech-to-Intent Systems for Conversational Agents

Conversational agents with spoken interaction are composed of multiple modules: a speech recognizer (speech-to-text), a natural language processorĀ (text-to-semantics), a dialog manager (generator of semantic representation next dialog turn), natural language generation (semantics-to-text) and speech synthesis (text-to-speech). The goal of the thesis is to eliminate the text representation and map speech directly to intent with minimal amountsĀ of domain-specific training data.

Date:27 Aug 2019 →  27 Aug 2023
Keywords:Speech Recognition
Disciplines:Audio and speech processing
Project type:PhD project