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Home > All Category Datasets > Speech Recognition Datasets > 73 hours - English(Thailand) Real-world Casual Conversation and Monologue Speech Dataset

73 hours - English(Thailand) Real-world Casual Conversation and Monologue Speech Dataset

语音识别
泰国
口音英语
英语

English(Thailand) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, 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;
Recording environment
Low background noise;
Country
Thailand ;
Language
English;
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise.
Accuracy Rate
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    Well, uh, as you said during the election campaign, I think foreign policy was not.

  • Audio

    Uh, on the main and channel.

  • Audio

    [OVERLAP/]Because[/OVERLAP] we have to admit that politics is local [OVERLAP/]anywhere in the world.[/OVERLAP]

  • Audio

    But actually, you know, I, I think more and more fund policy does matter, does matter to the lives of people does matter to.

  • Audio

    Our security, our prosperity. But the question that you asked me, which party has been the more vocal?[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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