Arabic Spontaneous Dialogue Smartphone speech dataset | 144 Hours | Multilingual Language Data
Overview
Arabic Spontaneous Dialogue Smartphone speech dataset | 144 Hours | Multilingual Language Data is an audio and text dataset. It covers Arabic. The provider states a volume of 144 hours. Typical applications include speech recognition, speech synthesis (TTS) and conversational AI. Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription and timestamps. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 144 hours.
- Listing mentions transcription, timestamps.
Arabic Spontaneous Dialogue Smartphone speech dataset. Transcribed with text content, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied. Format 16kHz, 16 bit, wav, mono channel; Content category Recorders in free conversation without a set topic; Recording condition Low background noise (indoor); Recording device Android smartphone, iPhone; Language Arabic; Features of annotation Transcription text, timestamp, speaker ID, gender. Accuracy Rate Word Accuracy Rate (WAR) 97%
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Arabic(Saudi Arabia) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions.
- Language
- Arabic
- Volume
- 849 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
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