Audio · Text / AI & Machine Learning
5K+ Hours Multi-Sport Audio Commentary | AI Training Data | Annotated audio data for AI | Stems, Diarized Transcripts, Scene Descriptions
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
5K+ Hours Multi-Sport Audio Commentary | 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 5,000 hours. 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
- Stated volume of 5,000 hours.
- Listing mentions transcription, speaker labels, polygons / segmentation.
A large-scale multimedia dataset containing 5K+ hours of multi-sport audio commentary recorded across diverse sporting events and broadcast environments. The dataset is designed for speech, video, and AI experimentation, and includes live play-by-play coverage, color commentary, studio analysis, and post-game discussions across multiple sports and leagues. It 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 spontaneous reactions and fast-paced speech patterns. Scene descriptions detailing match context, crowd atmosphere, game dynamics, 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, real-time event detection, and dialogue-state tracking. 2. Unique Sourcing Capabilities Data is sourced from professional sports broadcasts and live event coverage across multiple disciplines. This ensures: Authentic, high-energy commentary. Varied speaking styles, pacing, and excitement levels. Diverse broadcast formats and production setups. Ability to produce custom datasets based on sport type, league, language, commentary style, or acoustic condit
Related datasets
More in Speech & Audio →Audio · Text · MultimodalAdvertised
Podcast Audio Data | Egyptian Arabic Multi-Speaker Dialogue Audio Corpus | 10,000+ Hours with Full Transcription | .WAV .JSON
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
More speech & audio datasets
All 1,727 speech & audio datasets →- 8kHz Conversational Speech Data | 15,000 Hours | Audio Data | Speech Recognition Data | Conversation Audio Data
- Acehnese live conversational audio, channel-separated
- Acholi live conversational audio, channel-separated
- ACN - Custom Data Collection Service (bespoke acquisition, any language, full enrichment stack delivered)
- ACN - Custom Data Generation Service (bespoke recorded content, studio-produced/real-world, full enrichment stack delivered)
- ACN - Premium Spoken Word Conversational Audio Data (speaker-diarized, fully enriched | WAV, JSON, JSONL)
- ACN - Real-Time US English Conversational Audio Feed (1,000 hrs/month, time-based + API delivery, full enrichment stack | WAV, JSON, JSONL)
- Afar live conversational audio, channel-separated