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Home > All Category Datasets > Speech Recognition Datasets > 200 Hours English Gaming Speech Dataset - Spontaneous Conversations for ASR & AI Training

200 Hours English Gaming Speech Dataset - Spontaneous Conversations for ASR & AI Training

English Gaming Speech Dataset
English Gaming Voice Dataset
Gaming Voice Chat Dataset
English Conversational Speech Dataset
English Spontaneous Speech Dataset

This dataset contains 200 hours of English spontaneous casual conversations and monologues related to popular and long-standing games. The content includes player discussions about battle strategies, social interactions, esports news, and other gaming-related topics, reflecting natural conversational interactions. Transcribed with text content, speaker's ID, gender, accent, offensive expression labeling and other attributes. Our dataset was collected from a diverse group of speakers distributed across various regions, thereby enhancing the model's performance in complex, real-world tasks. The dataset has been quality tested by 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, VR, and other gaming genres), including player discussions on battle strategies, social interactions, esports news, etc.
Recording environment
Mixed(indoor, outdoor,entertainment)
Country
the United Kingdom(GBR), the United States(USA), etc.
Language(Region) Code
en-GB,en-US, etc.;
Language
English;
Features of annotation
Transcription text, timestamp, offensive expression labeling, speaker ID, gender, noise;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%.
Sample Sample
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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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