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English Speech Dataset (Singaporean Speakers) - 201 Hours Scripted Monologue by Smartphone

english speech dataset
english audio dataset
accented english speech dataset
non-native english speech dataset
Singapore accent english dataset
speech recognition dataset
spoken dialogue dataset

This dataset contains 201 hours of English speech from Singaporean speakers, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and control, in-car command and control, numbers and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(452 people in total), 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
16kHz, 16bit, uncompressed wav, mono channel;
Recording condition
Low background noise(indoor), without echo;
Content category
Generic domain; human-machine interaction; smart home command and in-car command; numbers;
Recording device
Android Smartphone, iPhone
Speaker
452 speakers in total, with 40% males(181 speakers) and 60% females(271 speakers)
Country
Singapore(SGP)
Language
English
Accuracy Rate
Sentence Accuracy Rate(SAR) 95%
Sample Sample
  • Audio

    I'm withholding the news so that you can step up your game

  • Audio

    Where was Tropical Malady made?

  • Audio

    How fast is the wind blowing in Jamestown?

  • Audio

    And that gets you all the scientific data that goes with it.

  • Audio

    Okay well the girls want to go get a drink

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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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