Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
106 tokens/sec
Gemini 2.5 Pro Premium
53 tokens/sec
GPT-5 Medium
26 tokens/sec
GPT-5 High Premium
27 tokens/sec
GPT-4o
109 tokens/sec
DeepSeek R1 via Azure Premium
91 tokens/sec
GPT OSS 120B via Groq Premium
515 tokens/sec
Kimi K2 via Groq Premium
213 tokens/sec
2000 character limit reached

MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems (2307.11394v3)

Published 21 Jul 2023 in cs.CL and eess.AS

Abstract: MeetEval is an open-source toolkit to evaluate all kinds of meeting transcription systems. It provides a unified interface for the computation of commonly used Word Error Rates (WERs), specifically cpWER, ORC-WER and MIMO-WER along other WER definitions. We extend the cpWER computation by a temporal constraint to ensure that only words are identified as correct when the temporal alignment is plausible. This leads to a better quality of the matching of the hypothesis string to the reference string that more closely resembles the actual transcription quality, and a system is penalized if it provides poor time annotations. Since word-level timing information is often not available, we present a way to approximate exact word-level timings from segment-level timings (e.g., a sentence) and show that the approximation leads to a similar WER as a matching with exact word-level annotations. At the same time, the time constraint leads to a speedup of the matching algorithm, which outweighs the additional overhead caused by processing the time stamps.

Citations (14)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube