INTEGRATING MULTIPLE ASR SYSTEMS INTO NLP BACKEND WITH ATTENTION FUSION

Takatomo Kano, Atsunori Ogawa, Marc Delcroix, Shinji Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spoken language processing (SLP) systems such as speech summarization and translation can be achieved by cascade models. It combines an automatic speech recognition (ASR) frontend and a natural language processing (NLP) backend including machine translation (MT) or text summarization (TS). With this cascade approach, we can exploit large non-paired datasets to independently train state-of-the-art models for each module. However, ASR errors directly affect the performance of the NLP backend in the cascade approach. In this paper, we reduce the impact of ASR errors on the NLP backend by combining transcriptions from various ASR systems. Recognizer output voting error reduction (ROVER) is a widely used technique for system combination. Although ROVER improves ASR performance, the combination process is not optimized for backend tasks. We propose a system combination that resembles ROVER using attention fusion to achieve the alignment and the combination of multiple ASR hypotheses. This allows the combination process to be optimized for the backend NLP task without changing the ASR frontend. Our proposed technique is general and can be applied to various SLP tasks. We confirm its effectiveness on both speech summarization and translation experiments.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6237-6241
Number of pages5
ISBN (Electronic)9781665405409
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore
Duration: 2022 May 232022 May 27

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2022-May
ISSN (Print)1520-6149

Conference

Conference47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Country/TerritorySingapore
CityVirtual, Online
Period22/5/2322/5/27

Keywords

  • Attention fusion
  • Automatic speech recognition
  • ROVER
  • Speech summarization
  • Speech translation

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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