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Related Datasets
MDT-AJ039 Japanese Duplex Conversation Training Dataset
This dataset uses high-fidelity independent audio tracks to comprehensively capture natural interaction features in daily conversations, such as interruptions, overlapping speech, intonation shifts, and emotional pauses. All conversations are annotated with multi-speaker labels and span diverse scenarios, providing robust training resources for AI models to comprehend the intricate Japanese honorific system, colloquial ellipses, and context-dependent logic.
MDT-AF060 Bahasa Indonesia Conversational Speech Corpus—Outdoors
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MDT-AB016 Mandarin Chinese Speech Recognition Corpus
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MDT-AD025 Mandarin Chinese Far-Field Scripted Speech Corpus
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MDT-AD013 Australian English Scripted Speech Corpus
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MDT-AE027 Turkish English Scripted Speech Corpus—Keyword Spotting
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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