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Related Datasets
MDT-AE033 Shanghai Dialect Scripted Speech Corpus—Daily Use Sentence
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MDT-AE062 Malay English Scripted Speech Corpus—Daily Use Sentence
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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-AE055 Malaysian English Scripted Speech Corpus—Keyword Spotting
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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-RI003 English Spoken Speech Dataset
This dataset is designed to train AI models that better understand spoken English, improving natural interaction in speech recognition. It captures features like connected speech, weak forms, and fillers from real-life conversations. With diverse speakers and high transcription accuracy, it helps models learn English prosody and rhythm for more accurate recognition.
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