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Home > All Category Datasets > Speech Recognition Datasets > 202 Hours – German Gaming Speech Dataset for ASR & NLP (Conversations + Monologues)

202 Hours – German Gaming Speech Dataset for ASR & NLP (Conversations + Monologues)

German gaming speech dataset
German gaming speech corpus
esports speech dataset German
gaming terminology speech data
German dialogue dataset
German speech recognition dataset
German NLP dataset gaming
German gamer voice dataset

The 202-hour German Gaming Speech Dataset covers spontaneous dialogue about popular and evergreen games, including player discussions on battle strategies, social interactions, esports news, etc., mirrors real-world interactions. Transcribed with text content, offenssive expressions, speaker's ID, gender, accent 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.

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SpecificationsSpecifications
Format
16k Hz, 16 bit, wav, mono channel;
Content category
Spontaneous dialogue or monologue about popular and evergreen games (such as FPS, MOBA, MMORPG, Survival Games and other gaming genres),including player discussions on battle strategies, social interactions, esports news, etc.;
Recording environment
Mixed(indoor, outdoor,entertainment)
Language(Region) Code
de-DE;
Country
Germany(DEU);
Features of annotation
transcription text, timestamp, offensive expressions annotation, speaker identification, gender, noise
Accuracy Rate
Word Accuracy Rate (WAR) 98%;
Language
German.
Sample Sample
  • Audio

    Du hast gesagt, ich stehe nicht so auf Schlitzer.[N]

  • Audio

    Willkommen zurück zu einer neuen super feucht spritzigen Folge Battlegrounds mit dem Spritzministerkreis.[N]

  • Audio

    Ja wohin [OVERLAP/]dann[/OVERLAP]?[N]

  • Audio

    Okay.[N]

  • Audio

    Äh weiß ich nicht.[N]

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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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