ud-nlp/hindi-speech-recognition-dataset

Hindi Telephone Dialogues Dataset - 760 Hours

Dataset comprises 760 hours of high-quality audio recordings from 1,000+ native Hindi speakers, featuring telephone dialogues across diverse topics and domains. With a 95% sentence accuracy rate, this essential dataset is ideal for training and evaluating Hindi speech recognition systems. - Get the data

Dataset characteristics:

Characteristic	Data
Description	Audio of telephone dialogues in Hindi for training NLP models in real-world conversational scenarios.
Data types	Audio
Tasks	Speech recognition, NLP
Country	India (IND)
Hours of telephone dialogue	760
Number of speakers	1,004
Labeling	Annotation (text content, speaker's ID, gender, age and other attributes)
Gender	Male (48%), Female (52%)
Recording device	Telephone

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Dataset structure

• audio - audio file
• text - text transcription
• Hindi Speech Recognition Dataset.csv - metadata for the data

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Similar Datasets:

1. British English Speech Recognition Dataset
2. Japanese Speech Recognition Dataset
3. Speech Emotion Recognition Dataset

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