ID int64 | Language string | Format string | Minutes string |
|---|---|---|---|
9 | Japanese | WAV | 14:03 |
10 | Japanese | M4A | 10:03 |
Japanese Speech Dataset for recognition task
Dataset comprises 10+ hours of telephone dialogues in Japanese, collected from 10 native speakers across various topics and domains. It is designed for research in speech recognition, focusing on various recognition models, primarily aimed at meeting the requirements for automatic speech recognition (ASR) systems.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in automatic speech recognition (ASR) systems, transcribing audio, and natural language processing (NLP). - Get the data
Frequently Asked Questions
Who can benefit from this Japanese speech dataset?
This dataset is suitable for AI researchers, ASR developers, NLP engineers, academic institutions, and companies building Japanese-language voice applications. It supports projects involving automatic speech recognition, conversational AI, call-center automation, speech analytics, and voice assistants.
How do longer conversations improve speech recognition models?
With an average conversation length of approximately 12 minutes, the dataset enables models to learn from extended dialogue rather than isolated phrases. Longer recordings provide natural speaker transitions, pauses, topic changes, and conversational context.
Why were recordings collected under low-background-noise conditions?
Maintaining low indoor background noise helps reduce unwanted acoustic interference while preserving natural conversational speech."
💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.
- Audio files: High-quality recordings in WAV format
- Text transcriptions: Accurate and detailed transcripts for each audio segment
- Speaker information: Metadata on native speakers, including gender and etc
- Topics: Diverse domains such as general conversations, business and etc
The native speakers and various topics and domains covered in the dataset make it an ideal resource for research community, allowing researchers to study spoken languages, dialects, and language patterns.
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