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Related Datasets
MDT-AI101 Spanish Duplex Conversation Training Dataset
Preserving features such as tonal jumps, spontaneous interruptions, and collaborative speech in fast-paced native conversations, this dataset uses independent channel recording for precise voice separation. Combined with multi-speaker labeling and scenario classification, it provides a solid training foundation for AI models to manage diverse speech rates and regional linguistic variations in Spanish.
MDT-AE028 Thai Scripted Speech Corpus
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MDT-AF045 German Conversational Speech Corpus
[Open-Source]
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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.
MDT-AD015 English Conversational Telephone Speech Corpus—Telephony
[Open-Source]
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MDT-AF026 Filipino English Scripted Speech Corpus
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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