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Home > All Category Datasets > Speech Recognition Datasets > 434 Hours German Conversational Speech Dataset for ASR and AI Training

434 Hours German Conversational Speech Dataset for ASR and AI Training

german conversational speech dataset
german speech corpus
german ASR dataset
speaker diarization dataset
german speech dataset
conversational AI dataset
speech recognition training data

This dataset contains 434 hours of natural German conversational speech collected through spontaneous dialogue recordings based on predefined topics. The dataset includes high-quality transcriptions, timestamps, speaker IDs, gender information, and other metadata attributes. Recorded from approximately 500 native German speakers, 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.

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SpecificationsSpecifications
Format
16kHz, 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
550 speakers; male and female balanced;
Features of annotation
Transcription text, timestamp, speaker ID, gender
Accuracy rate
Sentence accuracy rate(SAR) 95%
Sample Sample
  • Audio

    trotzdem irgendwas fühlt, kann man machen.

  • Audio

    Muss ja nicht viel sein. Man kann ja ein bisschen nehmen, dass man nicht zu viel nimmt, aber bis man

  • Audio

    und einfach eine schöne Zeit zu erleben. Man kann ja auch ohne Alkohol zu einer Party gehen

  • Audio

    Das macht es mir auch. Ich gebe dir da vollkommen Recht.

  • Audio

    und trotzdem Spaß haben. Wie siehst denn du das?

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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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