Audio · Text / AI & Machine Learning
10K+ Local News Interviews | AI Training Data | Annotated audio data for AI | Stems, Diarized Transcripts, Scene Descriptions | Global Coverage
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
10K+ Local News Interviews | AI Training Data | Annotated audio data for AI | Stems, Diarized Transcripts, Scene Descriptions | Global Coverage is an audio and text dataset. Typical applications include speech recognition, speaker recognition and conversational AI. 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
- Listing mentions transcription, speaker labels, polygons / segmentation.
A large-scale multimedia dataset containing 10K hours of local news interviews recorded across diverse regions, designed for speech, video, and AI experimentation. The dataset includes reporter–guest interviews, field reporting segments, studio discussions, and investigative features across multiple topics and languages, and supports both ready-made and custom dataset creation. 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 recognition, and dialogue-state tracking. 2. Unique Sourcing Capabilities Data is sourced through structured acquisition pipelines to ensure authentic, real-world journalistic interviews across regions and languages. This ensures: Authentic, unscripted speech. Wide linguistic and regional variation. Consistent inflow of fresh recordings. Ability to produce custom datasets based on language, region, interview type, or acoustic condition. 3. Global Linguistic & Cultural Diversity Recordings span multiple regions and inc
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Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording ‣ Recording content:…
- Language
- Arabic
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
Price on request
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