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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-AE059 Turkish In-Vehicle Scripted Speech Corpus—Smart Mobility
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MDT-AE070 Indonesian English Scripted Speech Corpus—Daily Use Sentence
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MDT-AE066 Shanghai Dialect Conversational Speech Corpus
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MDT-RJ003 Korean Spoken Speech Dataset
This dataset is designed to train AI models that better understand spoken Korean, improving natural interaction in speech recognition. It features diverse real-life dialogues with high transcription accuracy. Key phonological changes like liaison and batchim assimilation are carefully annotated. Complete sentences and emotion-aware punctuation help models capture Korean speech patterns and sentence-ending intent.
MDT-AG035 Jiangxi Dialect Spontaneous 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