mlsanityData to 14 Oct 2026

MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems

arXiv 2307.11394 ↗First posted 21 Jul 2023cs.CL eess.AScited by 28

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Abstract (arXiv)

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.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). Builds on 10 of its 21 references that are in the map. First posted on arXiv 21 Jul 2023.

Builds on

10 of 21 references.

References · 10

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  2. 2020CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordingscited by 132
  3. 2020Serialized Output Training for End-to-End Overlapped Speech Recognitioncited by 87
  4. 2020Continuous speech separation: dataset and analysiscited by 74
  5. 2022Streaming Multi-Talker ASR with Token-Level Serialized Output Trainingcited by 37
  6. 2019DiPCo -- Dinner Party Corpuscited by 20
  7. 2023TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddingscited by 12
  8. 2021Continuous Streaming Multi-Talker ASR with Dual-path Transducerscited by 10
  9. 2021Multi-turn RNN-T for streaming recognition of multi-party speechcited by 10
  10. 2022On Word Error Rate Definitions and their Efficient Computation for Multi-Speaker Speech Recognition Systemscited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 10; 2026: 13.

28 papers.

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  1. 2024NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcriptioncited by 21
  2. 2024Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systemscited by 15
  3. 2023One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognitioncited by 12
  4. 2024Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognitioncited by 9
  5. 2026TagSpeech: End-to-End Multi-Speaker ASR and Diarization with Fine-Grained Temporal Groundingcited by 5
  6. 2025Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audiocited by 4
  7. 2025Summary of the NOTSOFAR-1 Challenge: Highlights and Learningscited by 2
  8. 2025A Unified Speech LLM for Diarization and Speech Recognition in Multilingual Conversationscited by 2
  9. 2025The Impact of Automatic Speech Transcription on Speaker Attributioncited by 2
  10. 2025Recent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challengescited by 2
  11. 2025Adapting Diarization-Conditioned Whisper for End-to-End Multi-Talker Speech Recognitioncited by 2
  12. 2026SE-DiCoW: Self-Enrolled Diarization-Conditioned Whispercited by 2
16 more
  1. 2026TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streamingcited by 2
  2. 2025SHNU Multilingual Conversational Speech Recognition System for INTERSPEECH 2025 MLC-SLM Challengecited by 1
  3. 2025Error Analysis in a Modular Meeting Transcription Systemcited by 1
  4. 2025Target speaker anonymization in multi-speaker recordingscited by 1
  5. 2026A Unified and Reproducible Experimentation Framework for Speech Understandingcited by 1
  6. 2024Speaker Tagging Correction With Non-Autoregressive Language Modelscited by 0
  7. 2025Robust Target Speaker Diarization and Separation via Augmented Speaker Embedding Samplingcited by 0
  8. 2026Modeling Overlapped Speech with Shufflescited by 0
  9. 2026Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware Metricscited by 0
  10. 2026An Omnilingual-ASR-Based Speech-LLM System for the 2nd MLC-SLM Challengecited by 0
  11. 2026Leading-Silence Augmentation and Multi-Stage Synthetic Supervision for the Second MLC-SLM Challengecited by 0
  12. 2026HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice Groundingcited by 0
  13. 2026Transsion's Speaker-Attributed Multilingual ASR System for the MLC-SLM 2026 Challengecited by 0
  14. 2026Inference-Time Target Speaker Unlearning in LLM-Based Automatic Speech Recognitioncited by 0
  15. 2026Training-Free Affinity Fusion of Neural and Embedding-Based Speaker Diarizationcited by 0
  16. 2026Who Said What, and Will It Be Remembered? Evaluating Persistent Speaker Attribution Across Meetingscited by 0