16kHz Conversational Speech Data | 35,000 Hours | Large Language Model(LLM) Data | Speech AI Datasets | Conversation Audio Data
Overview
16kHz Conversational Speech Data | 35,000 Hours | Large Language Model(LLM) Data | Speech AI Datasets | Conversation Audio Data is an audio dataset. The provider states a volume of 35,000 hours. Typical applications include speech recognition, speaker recognition and conversational AI. Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 35k hours.
- Listing mentions transcription.
1. Specifications Format : 16kHz 16bit, uncompressed wav, mono channel; Environment : quiet indoor environment, without echo; Recording content : No preset linguistic data,dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed; Demographics : Speakers are evenly distributed across all age groups, covering children, teenagers, middle-aged, elderly, etc. Annotation : annotating for the transcription text, speaker identification, gender and noise symbols; Device : Android mobile phone, iPhone; Language : 100+ Languages; Application scenarios : speech recognition; voiceprint recognition; Accuracy rate : the word accuracy rate is not less than 98% 2. About the provider the provider owns off-the-shelf PB-level Large Language Model(LLM) Data, 3 million hours of Multilingual Language Data and 800TB of Computer Vision Data. These ready-to-go Machine Learning (ML) Data support 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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More in Speech & Audio →10,000+ Hours English Conversational Audio | Multi-Speaker, Diarized Transcripts | Speech Recognition & AI Training | WAV + JSON
Specifications: • Language: Mandarin Chinese, English, Portuguese, Spanish, and more • Volume: 100,000+ hours • Format: 8kHz, mono channel (WAV audio + JSON transcript)…
- Language
- English
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
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