<p>WER of transcribed ViSQA context by Google STT and AssemblyAI.</p>

NIAID Data Ecosystem2026-05-10 收录

数据链接：

https://figshare.com/articles/dataset/_p_WER_of_transcribed_ViSQA_context_by_Google_STT_and_AssemblyAI_p_/31051622 数据链接链接失效反馈

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资源简介：

WER of transcribed ViSQA context by Google STT and AssemblyAI.

创建时间：

2026-01-12

eval-parakeet-tdt-0.6b-v3-multimed-hard-20260408-1930

语音识别评估

实体识别

该数据集包含 Whisper 模型在特定评估数据集上的评测结果，主要用于语音转文本（speech-to-text）任务的性能评估。数据集包含音频样本（如源数据集提供）、参考转录文本、模型预测文本、词错误率（WER）和字符错误率（CER）等字段。特别地，数据集还包含实体标注信息（如解剖学、生物标志物、条件、药物、组织和程序等类别）及相应的实体字符错误率（Entity CER）。整体实体字符错误率为2

Hugging Face2026-04-09 更新120

Effects of noise and reverberation on speech recognition with variants of a multichannel adaptive dynamic range compression scheme

助听器自适应压缩

语音识别评估

Objective: Adaptive compression methods in hearing aids have been developed to maximise audibility while preserving temporal envelope modulations. Increasing the number of channels may improve

Taylor & Francis Group2020-02-26 更新30

Harshkmr/omniscribe_eval_results

语音识别评估

语音转文本

--- dataset_info: - config_name: base features: - name: source dtype: string - name: language dtype: string - name: reference dtype: string - name: system_prompt dtype: strin

Hugging Face2026-04-25 更新30

yongchanskii/youtube-data-various-domain

语音识别评估

多语言语音转录

--- dataset_info: features: - name: source dtype: string - name: channelName dtype: string - name: category dtype: string - name: title dtype: string - name: videoId dt

Hugging Face2024-06-14 更新60

Dataset generated in the ASR experiment.

语音识别评估

音节错误分析

SPSS file with the full list of responses of the ASR system. Each line in the file describes one syllable token. Diverse columns categorize the type of consonant, vowel and, when present, error type.

Figshare2020-11-09 更新30

<p>WER of transcribed ViSQA context by Google STT and AssemblyAI.</p>

资源简介：

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