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arXiv · 2203.15833

Seq-2-Seq based Refinement of ASR Output for Spoken Name Capture

Karan Singla·Shahab Jalalvand·Yeon-Jun Kim·Ryan Price·Daniel Pressel·Srinivas Bangalore
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Abstract

Person name capture from human speech is a difficult task in human-machine conversations. In this paper, we propose a novel approach to capture the person names from the caller utterances in response to the prompt "say and spell your first/last name". Inspired from work on spell correction, disfluency removal and text normalization, we propose a lightweight Seq-2-Seq system which generates a name spell from a varying user input. Our proposed method outperforms the strong baseline which is based on LM-driven rule-based approach.

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Karan Singla, Shahab Jalalvand, Yeon-Jun Kim, Ryan Price, Daniel Pressel, Srinivas Bangalore. 2022-03-29. Seq-2-Seq based Refinement of ASR Output for Spoken Name Capture. https://arxiv.org/abs/2203.15833

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