Saudi Arabic Spontaneous Speech Data | 849 Hours | Audio Data
Overview
Saudi Arabic Spontaneous Speech Data | 849 Hours | Audio Data is an audio and text dataset. It covers Arabic. The provider states a volume of 849 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 849 hours.
- Listing mentions transcription, timestamps.
Arabic(Saudi Arabia) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions. 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; Recording environment Low background noise; Country Saudi Arabia(SAU); Language(Region) Code ar-SA; Language Arabic; Features of annotation Transcription text, timestamp, speaker ID, gender. Accuracy Rate Word Accuracy Rate (WAR) 98%
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Arabic Spontaneous Dialogue Smartphone speech dataset.
- Language
- Arabic
- Volume
- 144 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition