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Strategically involved in conversation Al dataset development for many years, MagicData hasdesigned and produced the Speech E2E Translation Dataset.This dataset originates from rea human natura conversations. where lanquace expressions arenatural, diverse, and exhibit individual characteristics. The emotional expressions are naturalallowing machines to learn human natural expressions effectively. The dataset supports not onlytraditional speech to text-to-text (S2T) translation but also speech-to-speech (S2S) translation.
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MDT-AD024 Mandarin Chinese Speech Corpus—Keyword Spotting
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MDT-AE030 Turkish Scripted Speech Corpus
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MDT-AF045 German Conversational Speech Corpus
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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.
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