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300 Hours German Financial Speech Dataset – Banking & FinTech Audio with Transcriptions

german financial speech dataset
german speech dataset
german asr training data
conversational ai dataset
financial ai training data

This dataset encompasses a wide range of specialized financial terminology and authentically reflects real-world interactions. It includes transcripts, speaker IDs, gender information, and other attributes. Collected from a geographically and demographically diverse group of speakers, the dataset helps improve model performance in complex, real-world tasks and has undergone quality validation by multiple 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.

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SpecificationsSpecifications
Format
16k Hz, 16 bit, wav, mono channel
Content category
Covering various financial professional terminologies, primarily focuses on macroeconomics, microeconomics
Recording condition
Low background noise
Country
Germany(DEU)
Language(Region) Code
de-DE
Language
German
Features of annotation
transcription text, timestamp, speaker identification, gender, noise, sensitive information
Accuracy
Word Accuracy Rate (WAR) at least 98%
Sample Sample
  • Audio

    Wir sehen zum einen den Russell eh zweitausend, also der eh Bereich des Small Caps, eh aber auch den Nasteck einhundert.

  • Audio

    Ähm sicherlich vielleicht auch die eine oder andere Gewinnmitnahme dabei.

  • Audio

    Heute Morgen haben wir noch mal kurzzeitig grüne Vorzeichen beim Deutschen Leitindex gesehen, mittlerweile nicht mehr. Wie reagiert der [OVERLAP/]DAX[/OVERLAP] denn auf [OVERLAP/]die EZB?[/OVERLAP]

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