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Home > All Category Datasets > Speech Recognition Datasets > 198 Hours Malaysian English Speech Dataset for Accent-Aware ASR Training

198 Hours Malaysian English Speech Dataset for Accent-Aware ASR Training

malaysian english speech dataset
malaysian english speech corpus
english accent dataset
asian english speech dataset
voice assistant training data
automotive speech dataset

This dataset contains 198 hours of scripted Malaysian English speech recordings collected from 423 speakers using mobile devices. The recordings are based on predefined scripts covering general topics, human-machine interaction scenarios, smart home voice commands, automotive voice commands, numbers, and other speech applications. Each audio sample is transcribed with corresponding text content and additional metadata attributes. 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
423 speakers in total, with 53% females(225 speakers) and 47% males(198 speakers)
Country
Malaysia(MYS)
Language
English
Accuracy Rate
Sentence Accuracy Rate(SAR) 95%
Sample Sample
  • Audio

    What are Tim Edey top five songs?

  • Audio

    Can we really stand by and watch these people die?

  • Audio

    Can you make the air fragrant by using air cleaner?

  • Audio

    Make the air conditioner off

  • Audio

    October fifteenth, nineteen eighty-two

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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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