System for enhancing speech understanding with effective and efficient integration of automated speech recognition error correction, out-of-domain detection, and/or domain classification

Abstract

The systems and methods described herein are related to a new speech understanding system for domain-specific voice interaction. The systems and methods described herein combine the automatic correction of an automatic speech recognition errors with a natural language understanding model in a way that optimizes the recognition and understanding of a received speech input. The systems and methods described herein may further support out-of-domain detection or domain classification by jointly learning and/or performing automatic speech recognition error correction and domain-related classification. Through the joint learning with automatic speech recognition error correction, the out-of-domain detection or domain classification may be conducted based on a plurality of possible speech recognition results with shared feature inputs and shared neural layers. The systems and methods described herein may achieve robust performance with high computational efficiency.