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.
Language
Cantonese
Data Style
spontaneous
Bit Rate
16bits
Channel
1
Total Audio Duration
5000+ hours
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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