Speech Data | OTS 30,000+ Hours of Free Speech Global Accents of ENGLISH | GDPR, CCPA Compliant | Native Speakers and Proprietary Data
Overview
Speech Data | OTS 30,000+ Hours of Free Speech Global Accents of ENGLISH | GDPR, CCPA Compliant | Native Speakers and Proprietary Data is an audio and text dataset. The provider states a volume of 30,000 hours. Typical applications include speech recognition, speech synthesis (TTS), conversational AI and 1 more. Relevant sectors: AI & Machine Learning, Education and Manufacturing & Industrial. The listing mentions transcription. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 30k hours.
- Listing mentions transcription.
Clean, high-quality unscripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems. Covers GLOBAL ENGLISH VARIANTS AND ACCENTS (50+ countries!). Available custom control over environments, metadata, and recording conditions. Scope: Unscripted, phonetically balanced recordings with transcripts, optimized for synthetic voice training. Audio Specs: • Sample rate: 48 kHz (studio quality) or 16 kHz for telephony • Scripted prompts across broad phonetic coverage • Configurable voice styles (neutral, expressive, emotional) Volume: hundreds of hours across voices. Speakers: Native speakers Transcripts: Aligned text–audio pairs, phonetically balanced. Why Us: • Focus on underserved languages where TTS is missing • OTS, fast delivery with speaker/environment flexibility • Discounted streaming options for long-term TTS development Use Cases: • Training neural TTS systems • Building synthetic voices for underserved markets • Accent and prosody modeling for global AI assistants
Related datasets
More in Video & Physical AI →Speech Data | OTS 100,000+ Hours of Free Speech Global + NICHE LANGUAGES | GDPR, CCPA Compliant | Native Speakers and Proprietary Data
Clean, high-quality unscripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems.
- Language
- —
- Volume
- 100k h
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition