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600 Hours - Norwegian Real-world Casual Conversation and Monologue speech dataset_600 Hours - Norwegian Real-world Casual Conversation and Monologue speech dataset

600 Hours - Norwegian Real-world Casual Conversation and Monologue speech dataset

  • ライセンス認証を経た製品データセットが、AIプロジェクトのスピーディーな立ち上げをアシストします。

Norwegian Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, live, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

お問い合わせ サンプルを入手する

データ仕様

Format
16kHz, 16 bit, wav, mono channel
Content category
including interview, self-meida,variety show, etc.
Recording environment
Low background noise
Language
Norwegian
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy
Word Accuracy Rate (WAR) 98%(Tags, gender, speakerID, accent, topic are not included in accuracy statistics due to subjectivity)

サンプル紹介

  • Men du snakket jo om atte du, kanskje hadde lyst til liksom jobbe oppe i Kirkenes holdt jeg på å si.

  • Fordi du får slettet studielån, du får ekstra lønn, bare du signerer kontrakten så får du mere penger, de betaler bo, reise, alt.

  • Og klokka er nå litt over ti. Eh, jeg våknet sånn halv åtte, tror jeg.[N]

  • T-skjorte fra Yoke, som jeg brukte på trening i dag, fordi. Ja jeg bestilte den opprinnelig for trening, slash vanlig. [N]

収集対象者からの明確に許可を得た、高品質の製品トレーニングデータセットはが、AIプロジェクトのスピーディーな立ち上げをアシストします。

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Data Features

600 Hours - Norwegian Real-world Casual Conversation and Monologue speech dataset

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600 Hours - Norwegian Real-world Casual Conversation and Monologue speech dataset