Loading [MathJax]/extensions/MathMenu.js
On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems | IEEE Conference Publication | IEEE Xplore

On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems


Abstract:

We propose a general framework to compute the word error rate (WER) of ASR systems that process recordings containing multiple speakers at their input and that produce mu...Show More

Abstract:

We propose a general framework to compute the word error rate (WER) of ASR systems that process recordings containing multiple speakers at their input and that produce multiple output word sequences (MIMO). Such ASR systems are typically required, e.g., for meeting transcription. We provide an efficient implementation based on a dynamic programming search in a multi-dimensional Levenshtein distance tensor under the constraint that a reference utterance must be matched consistently with one hypothesis output. This also results in an efficient implementation of the ORC WER which previously suffered from exponential complexity. We give an overview of commonly used WER definitions for multi-speaker scenarios and show that they are specializations of the above MIMO WER tuned to particular application scenarios. We conclude with a discussion of the pros and cons of the various WER definitions and a recommendation when to use which.
Date of Conference: 04-10 June 2023
Date Added to IEEE Xplore: 05 May 2023
ISBN Information:

ISSN Information:

Conference Location: Rhodes Island, Greece

Funding Agency:


Contact IEEE to Subscribe

References

References is not available for this document.