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Home > All Category Datasets > Speech Recognition Datasets > 234 Hours-Japanese Speech Dataset (Mobile Phone Recordings)

234 Hours-Japanese Speech Dataset (Mobile Phone Recordings)

Japanese audio dataset
Japanese ASR training data
Japanese spontaneous dialogue dataset
Japanese speech dataset

This dataset contains 234 hours of Japanese speech audio, collected from monologue based on given scripts, covering 210,000 formal or informal expressions. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(799 Japanese recorded in mixed condition, such as indoor, roadside, restaurant, etc.), geographicly speaking, 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.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
Format
16kHz, 16bit, uncompressed wav, mono channel;
Recording condition
Mixed(indoor, roadside, restaurant);
Content category
formal and informal expressions;
Recording device
Android smartphone;
Speaker
799 Japanese, 49% male and 51% female;
Country
Japan(JPN);
Language(Region) Code
ja-JP;
Language
Japanese;
Features of annotation
Transcription text, timestamp, 6 noise symbols;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95% (noise symbols are excluded)
Sample Sample
  • Audio

    法律上の定めはないが、戦後も歴代内閣が続けている[n]

  • Audio

    納得できるまで問い続けたいんですよね

  • Audio

    大人げないなんて言われても、私は気にしない

  • Audio

    業界初の車いす用の衝撃吸収システムも装備した

  • Audio

    [n]カラーはラセットとメチルチャコールの二種類

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Dataset FAQs

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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