MDT-RJ001 Japanese Spoken Speech Dataset
This dataset is designed to train AI models that better understand spoken Japanese, improving natural interaction in speech recognition. It includes diverse real-life conversations with high transcription accuracy. Pitch accents and special syllables like sokuon and nasal sounds are carefully annotated. Punctuation reflects Japanese pause rhythms, helping models learn ellipses and emotional particles for more natural responses.
Language
Japanese
Data Style
spontaneous
Bit Rate
16bits
Channel
1
Total Audio Duration
10000+ hours
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Why MD Datasets
Full Compliance
ISO/IEC 27001 & ISO/IEC 27701:2019 compliant
Multiple Dimension
Audio, text, image, and video multi-modal data
Extensive Scope
Conversational, scripted, and spontaneous data covering extensive domains
High Accuracy
Expertise secured quality result