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Related Datasets
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-AE039 Hunan Dialect Scripted Speech Corpus—Daily Use Sentence
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MDT-AG001 Yunan Dialect Conversational Speech Corpus
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Multi-Emotional Natural Speech Dataset
Magic Data has newly introduced the "Multi-Emotional Natural Speech Dataset", comprising various datasets designed to enhance expressiveness and naturalness in speech technology, enabling intelligent devices to exhibit a wide range of emotional expressions. This dataset significantly enhances the emotional expressiveness of large speech models. By leveraging our dataset, the expressiveness and emotional authenticity of large speech models can be greatly improved.
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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.
MDT-AG039 Hebei 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