Audio · Text / AI & Machine Learning
100K+ Scripted Dialogue-EN/TR/ES Soap & TV | AI Training Data | Annotated audio data for AI | Stems, Diarized Transcripts, Scene Descriptions
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
100K+ Scripted Dialogue-EN/TR/ES Soap & TV | AI Training Data | Annotated audio data for AI | Stems, Diarized Transcripts, Scene Descriptions 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 100,000 hours of scripted dialogue from long-form television series and soap operas, performed by professional actors in English, Turkish, and Spanish. The dataset is designed for speech, video, and AI experimentation, and includes multi-character scenes, dramatic monologues, and extended conversational exchanges across diverse genres and production styles. 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 scripted dialogue and performance nuances. Scene descriptions detailing setting, character relationships, emotional tone, 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, dialogue-state tracking, and character-level analysis. 2. Unique Sourcing Capabilities Data is sourced from professionally produced television content, ensuring high-quality scripted performances across multiple languages and cultural contexts. This ensures: Clear, professionally delivered speech. Rich emotional expression and varied dialogue dynamics. Consistent production standards. Ability to produce custom subset
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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
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