Real-world Casual Conversation and Monologue Speech Data | 20,000 Hours | Spontaneous Speech | Audio Data | Text-to-Speech Data
Overview
Real-world Casual Conversation and Monologue Speech Data | 20,000 Hours | Spontaneous Speech | Audio Data | Text-to-Speech Data is an audio and text dataset. The provider states a volume of 20,000 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 20k hours.
- Listing mentions transcription, timestamps.
1. Specifications Format: 16kHz, 16 bit, wav, mono channel; Recording environment: Low background noise; Recording content: Including live, variety-show, speech etc; Language: English,French, German, Japanese, Portugese, Dutch, Turkish, Korean, Vietnamese, Indonesian, Malay, Thai, Burmese, Arabic, Hong Kong Cantonese, etc. Features of annotation: Transcription text, timestamp, speaker ID, gender, noise Accuracy rate: Word Accuracy Rate (WAR) 98% 2. About the provider the provider owns off-the-shelf PB-level Large Language Model(LLM) Data, 3 million hours of Audio Data and 800TB of Imagery Data. These ready-to-go data supports instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.the provider.ai/datasets/speechrecog?source=the provider
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- Language
- English
- Volume
- 1,136 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition