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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-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.
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ISO/IEC 27001 & ISO/IEC 27701:2019 compliant
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Audio, text, image, and video multi-modal data
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Conversational, scripted, and spontaneous data covering extensive domains
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Expertise secured quality result