ud-nlp/vietnamese-speech-recognition

Vietnamese Speech Dataset - 10+ hours

Dataset comprises 10+ hours of telephone dialogues in Vietnamese, collected from 20 native speakers across various topics and domains. It is designed for research in speech recognition, focusing on various recognition models, primarily aimed at meeting the requirements for automatic speech recognition (ASR) systems. - Get the data

Dataset characteristics:

Characteristic	Data
Description	Audio of telephone dialogues in Slovenian for training NLP models in real-world conversational scenarios
Data types	Audio
Tasks	Speech recognition, NLP
Country	Vietnam (VNM)
Hours of telephone dialogue	10+
Number of speakers	20+
Labeling	Annotation (ID, Language, Format, Minutes)
Recording device	Telephone

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Dataset structure

• audio.mp3 - audio file
• Vietnamese Speech Recognition.csv - metadata for the data

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