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Home > All Category Datasets > Speech Recognition Datasets > 200 Hours Malay Speech Dataset for ASR and Conversational AI Training

200 Hours Malay Speech Dataset for ASR and Conversational AI Training

malay speech dataset
malay ASR dataset
malay conversational speech dataset
speech recognition training data
multilingual speech dataset
low resource speech dataset
conversational AI dataset

This dataset contains 200 hours of spontaneous Malay speech collected through natural dialogue recordings based on predefined topics covering more than 20 domains. The dataset was recorded from 228 native Malay speakers and includes transcriptions, speaker IDs, gender, age, and other 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, 16 bit, wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
228 native speakers in total, 37% male and 63% female;
Country
Malaysia(MYS);
Language(Region) Code
my-MY;
Language
Malay;
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise,PII redacted.
Accuracy Rate
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    Apa tu?

  • Audio

    Masakan dia ini sedap.

  • Audio

    Jangan tangkis aih, masakan dia tu bolehlah sedap kalau kata budak-budak sana tu ah.

  • Audio

    Ah uncle Muhto tu pak cik.

  • Audio

    Kalau saya ni dekat sana tu kalau dah boleh makan tempat ini.

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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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