Audio · Text / AI & Machine Learning
30K+ Hours of Official Government Communications | AI Training Data | Annotated audio data for AI | Stems, Diarized Transcripts, Scene Descriptions
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
30K+ Hours of Official Government Communications | AI Training Data | Annotated audio data for AI | Stems, Diarized Transcripts, Scene Descriptions is an audio and text dataset. The provider states a volume of 30,000 hours. Typical applications include speech recognition, speaker recognition, fine-tuning & instruction data and 1 more. Relevant sectors: AI & Machine Learning. The listing mentions transcription, speaker labels and polygons / segmentation. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 30k hours.
- Listing mentions transcription, speaker labels, polygons / segmentation.
A large-scale multimedia dataset containing 30K+ hours of official government communications recordings captured globally, designed for speech, video, and AI experimentation. The dataset includes press briefings, public addresses, parliamentary sessions, and official statements across diverse regions and languages, and supports both ready-made and custom dataset creation. Dataset Breakdown - Political Press Briefings (Official Government Announcements) Live press briefings, media Q&A sessions, and policy updates delivered by government officials and spokespersons. - Official Government Statements Formally issued statements from government bodies covering regulatory announcements, policy updates, and institutional communications. - Formal Government Addresses National addresses, parliamentary speeches, and ceremonial remarks delivered by elected officials and state representatives. Key Features 1. Comprehensive Annotation Layers Each audio file is delivered with multiple synchronized metadata components: Speaker diarization (per-speaker segmentation and labeling). Individual stems for clean, isolated audio sources. High-accuracy transcripts, including disfluencies and natural speech patterns. Scene descriptions detailing environment, context, background sounds, and conversational intent. Acoustic metadata such as noise profile, channel setup, and recording conditions. This depth of annotation enables advanced tasks including ASR development, intent modeling, emotion recognitio
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- Volume
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- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Price on request
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