ud-nlp/arabic-speech-recognition

Arabic Speech Dataset - 10+ hours

Dataset comprises over 10 hours of audio featuring 20+ native speakers engaged in telephone-quality dialogues in the Arabic language. It contains high-quality speech data designed for training robust language models and automatic speech recognition systems in real-world conversational scenarios. - 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	United Arab Emirates (ARE)
Hours of telephone dialogue	10+
Number of speakers	20+
Labeling	Annotation (ID, Language, Format, Minutes)
Recording device	Telephone

📊 Sample dataset available! For full access, contact us to discuss purchase terms.

Dataset structure

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

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