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Related Datasets
MDT-AI090 Spontaneous Speech Datasets of Expressive Paralinguistics
This dataset is characterized by a high sampling rate of 48 kHz, recordings collected in controlled quiet environments, and contributions from a demographically diverse pool of speakers varying in region, age, and gender to ensure speech diversity. The dataset encompasses a wide array of topics across 20 domains, including daily life, leisure and entertainment, education and training, and healthcare.
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MDT-AE002 Minnan Dialect Speech Corpus—Daily Use Sentence
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MDT-AD022 Thai Scripted Speech Corpus—Daily Use Sentence
[Open-Source]
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MDT-AE087 French Conversational Speech Corpus
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MDT-RI002 Cantonese Spoken Speech Dataset
This dataset is built to train AI models that better understand spoken Cantonese, improving natural interaction in speech recognition. It covers diverse real-life dialogues with high transcription accuracy. Annotations are optimized for Cantonese-specific features like nine tones, lazy sounds, and slang, ensuring accurate audio-text alignment. Natural sentence structures and punctuation help models grasp pause patterns and sentence-final particles, boosting dialect recognition performance.
MDT-AE020 Hong Kong English Speech Corpus—Daily Use Sentence
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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