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Home > All Category Datasets > Speech Recognition Datasets > 431 Hours German Call Center Speech Dataset – Spontaneous Telephony Conversations

431 Hours German Call Center Speech Dataset – Spontaneous Telephony Conversations

german call center speech dataset
german customer service dataset
contact center AI dataset
conversational AI training data
german speech dataset
german ASR dataset
telephony speech dataset

This dataset contains 431 hours of spontaneous German call center speech recordings collected from real-world telephone conversations based on predefined topics. The dataset includes natural customer service dialogues with detailed transcriptions, timestamps, speaker IDs, gender information, and other metadata attributes. Collected from approximately 590 native German speakers, it captures diverse speaking styles, conversational patterns, and real-world communication scenarios. 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.

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SpecificationsSpecifications
Format
8kHz, 8bit, wav, mono channel;
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
Germany(DEU)
Language(Region) Code
de-DE
Language
German
Speaker
592 native speakers in total, 54% male and 46% female
Features of annotation
Transcription text, timestamp, speaker ID, gender
Accuracy rate
Sentence accuracy rate(SAR) 95%
Sample Sample
  • Audio

    Ich habe nicht ein spezielles Lieblingsgericht, aber ich finde, dass zum Beispiel italienische Gerichte immer lecker sind zu essen

  • Audio

    Wollte ich einfach mal fragen, was dein Lieblingsessen ist?

  • Audio

    Ähm, ich liebe verschiedene Küchen. Also meine Lieblingsküchen sind koreanisch, französisch,

  • Audio

    und genau davon bin ich ein großer Fan. Und du?

  • Audio

    ähm, genau dieses ähm f-, fine cuisine dining sozusagen, ähm.

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What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

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