8kHz Conversational Speech Data | 15,000 Hours | Audio Data | Speech Recognition Data | Conversation Audio Data
Overview
8kHz Conversational Speech Data | 15,000 Hours | Audio Data | Speech Recognition Data | Conversation Audio Data is a multimodal dataset. The provider states a volume of 15,000 hours. Typical applications include speech recognition, speaker recognition, conversational AI and 1 more. Relevant sectors: Education and Manufacturing & Industrial. 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 15k hours.
- Listing mentions transcription.
1. Specifications Format : 8kHz, 8bit, u-law/a-law pcm, 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 : Telephony recording system; 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?source=the provider
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More in Video & Physical AI →Speech ML / DL Data | Customer–Agent Conv. (Single & Multi-Channel & Hard-to-Source Languages) | GDPR, CCPA Compliant | Native Speakers 180+ Countries
Scope: Synthetic customer–agent interactions, available in dual-channel (per speaker) or single-channel mixes.
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- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition