构建了2695小时的捷克议会语音语料库，支持语音识别与合成。
ParCzech4Speech: A New Speech Corpus Derived from Czech Parliamentary Data
- 用WhisperX和Wav2Vec 2.0对议会录音与文本做自动对齐
- 数据量达2695小时，对齐可靠性高于前一版本
- 提供三种格式，适合语音识别、合成及自定义任务
我们提出ParCzech4Speech 1.0，是ParCzech 4.0语料库的处理版，专用于语音建模任务，最大版本包含2,695小时数据。将捷克议会演讲的音频录音与官方文本转录进行匹配。使用WhisperX和Wav2Vec 2.0对录音进行处理，实现自动化音文对齐。该处理流程相比ParCzech 3.0语音识别版本，提取更多数据且对齐可靠性更高。数据集提供三个灵活变体：(1) 句子分段，适用于语音识别与语音合成任务，边界清晰；(2) 未分段，保留句子间的原始语流；(3) 原始对齐，供其他任务进一步自定义处理。所有变体均保留原始元数据，以宽松的CC-BY许可发布。数据可在LINDAT仓库获取，句子分段与未分段版本亦在Hugging Face提供。
原文摘要 · Abstract (English)
We introduce ParCzech4Speech 1.0, a processed version of the ParCzech 4.0 corpus, targeted at speech modeling tasks with the largest variant containing 2,695 hours. We combined the sound recordings of the Czech parliamentary speeches with the official transcripts. The recordings were processed with WhisperX and Wav2Vec 2.0 to extract automated audio-text alignment. Our processing pipeline improves upon the ParCzech 3.0 speech recognition version by extracting more data with higher alignment reliability. The dataset is offered in three flexible variants: (1) sentence-segmented for automatic speech recognition and speech synthesis tasks with clean boundaries, (2) unsegmented preserving original utterance flow across sentences, and (3) a raw-alignment for further custom refinement for other possible tasks. All variants maintain the original metadata and are released under a permissive CC-BY license. The dataset is available in the LINDAT repository, with the sentence-segmented and unsegmented variants additionally available on Hugging Face.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。