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639 Hours Indonesian Voice Command Speech Dataset for Smart Devices and AI

indonesian ASR dataset
indonesian voice command dataset
voice assistant training data
automotive speech dataset
smart home voice dataset
indonesian speech corpus

This dataset contains 639 hours of scripted Indonesian speech recordings collected from 1,285 native Indonesian speakers based on predefined voice prompts. The dataset covers general speech scenarios, human-machine interaction, smart home voice commands, in-car voice control, news, and other application domains. Each audio sample includes accurate transcription 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; news;
Recording device
Android Smartphone, iPhone;
Speaker
1,285 speakers totally, with 47% male and 53% female; and 77.3% speakers of all are in the age group of 18-25,22.3% speakers of all are in the age group of 26-45, 0.4% speakers of all are in the age group of 46-60;
Country
Indonesia(IDN);
Language(Region) Code
id-ID;
Language
Indonesian;
Features of annotation
Transcription text;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    Apakah perusahaan PT Sinergi Informatika Semen Indonesia ada di seluruh indonesia?

  • Audio

    tanggal sembilan bulan Januari tahun seribu sembilan ratus tiga belas

  • Audio

    Menolak segala bentuk kecurangan yang dapat merugikan pihak lain

  • Audio

    Dapatkah anda menghidupkan pengeras suara sekarang

  • Audio

    Hidupkan listrik tirai otomatis

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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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