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Home > All Category Datasets > Speech Recognition Datasets > 283 Hours Indonesian Telephone Speech Dataset for ASR and Conversational AI

283 Hours Indonesian Telephone Speech Dataset for ASR and Conversational AI

indonesian telephone speech dataset
indonesian telephony speech dataset
indonesian ASR dataset
indonesian speech dataset

This dataset contains 283 hours of spontaneous Indonesian telephone speech collected through natural conversations based on predefined topics across more than 20 domains. The dataset includes accurate transcriptions, speaker IDs, gender, age information, and other metadata attributes. Recorded from 376 native Indonesian speakers, 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
8kHz 8bit, a-law/u-law pcm, mono channel
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Telephony
Speaker
376 people in total, 53% male and 47% female
Country
Indonesia(IDN)
Language(Region) Code
id-ID
Language
Indonesian
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Word accuracy rate(WAR) 98%
Sample Sample
  • Audio

    [N] Kenapa kamu ngefan sama Raffi Ahmad?

  • Audio

    Kalau komputer itu kan ya, nanti udah ada soal untuk kurikulumnya lah.

  • Audio

    Misal pelajaran faktor [S] tentang komputer, apa basic data.

  • Audio

    Eh, aku sekarang ngefannya sama artis Indonesia, Raffi Ahmad.

  • Audio

    Kamu sekarang ngefan sama siapa?

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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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