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English(EN) HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics

新HATS数据集整合人类感知用于ASR评估

研究人员推出HATS,一个新设计的法语数据集,旨在通过整合人类感知来评估自动语音识别(ASR)系统。该数据集是通过让143人比较并选择由不同ASR系统生成的两个转录选项中的更好一个来创建的。此举旨在超越传统的词错误率(WER)等指标,这些指标被认为不足以从人类用户的角度评估ASR质量。 AI

影响 引入了一个用于评估ASR系统的新数据集,可能导致更符合人类的转录质量评估。

排序理由 该集群描述了一篇介绍用于ASR评估的新型数据集的学术论文。

在 arXiv cs.CL 阅读 →

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新HATS数据集整合人类感知用于ASR评估

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该集群描述了一篇介绍用于ASR评估的新型数据集的学术论文。
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Thibault Ba\~neras Roux, Jane Wottawa, Mickael Rouvier, Teva Merlin, Richard Dufour ·

    HATS:一个整合人类感知用于评估自动语音识别指标的开放数据集

    arXiv:2604.27542v1 Announce Type: new Abstract: Conventionally, Automatic Speech Recognition (ASR) systems are evaluated on their ability to correctly recognize each word contained in a speech signal. In this context, the word error rate (WER) metric is the reference for evaluati…

  2. arXiv cs.CL TIER_1 English(EN) · Richard Dufour ·

    HATS:一个整合了人类感知并应用于自动语音识别指标评估的开放数据集

    Conventionally, Automatic Speech Recognition (ASR) systems are evaluated on their ability to correctly recognize each word contained in a speech signal. In this context, the word error rate (WER) metric is the reference for evaluating speech transcripts. Several studies have show…