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747 Hours Indonesian Conversational Speech Dataset for ASR and AI Training
indonesian conversational speech dataset
indonesian ASR dataset
indonesian speech corpus
dialogue speech dataset
multilingual speech dataset
speech recognition training data
conversational AI dataset
This dataset contains 747 hours of spontaneous Indonesian speech collected through natural dialogue recordings based on predefined topics across more than 20 domains. The dataset includes accurate transcriptions, speaker IDs, gender, age, and other metadata attributes. Recorded from 1,190 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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16k Hz, 16 bit, wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
1190 native speakers in total, 45% male and 55% female;
Kayaknya sih dikasih apa, kayaknya tuh ada top beberapa topping gitu loh, ada beberapa topping. Kayaknya ada keju juga deh kuliat kemaren, kalo enggak salah.
Audio
Dikasih keju?
Audio
Range harga kemaren itu tu, orang itu bilang murah.
Audio
Kayaknya murah sih. Terus yang ngeja yang lebih menarik lagi refill, jadi itu nasinya bisa ngambil lagi, gitu.
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.