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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.
MDT-AE049 Korean Scripted Speech Corpus
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MDT-AE067 Korean Duplex Conversation Training Dataset
Leveraging dual-track recording technology to accurately separate overlapping speech and spontaneous interruptions, this dataset authentically reflects the unique honorific hierarchy, emotional sentence endings, and rapid turn-taking found in Korean. It includes multi-speaker role annotations and scenario tags, enabling AI to better understand the intricate conversational dynamics and emotional subtleties embedded in Korean cultural contexts.
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