Speech ML Data | OTS 25000+ Hours of Free Speech NICHE LANGUAGES | GDPR, CCPA Compliant | Native Speakers and Proprietary Data
Overview
Speech ML Data | OTS 25000+ Hours of Free Speech NICHE LANGUAGES | GDPR, CCPA Compliant | Native Speakers and Proprietary Data is an audio and text dataset. The provider states a volume of 25,000 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 25k hours.
- Listing mentions transcription.
Clean, high-quality unscripted recordings aligned with transcripts, built for training expressive and natural-sounding TTS systems. Covers Multiple NICHE LANGUAGES (incl. Igbo, Swahili, Saraiki, Taita, Tigrinya, Amharic, Cebuano, Oromo, Odiya, Tagalog, Telugu, Sindhi, Hausa, Hindi, Yoruba, Urdu, Burmese, Bengali and many more!). 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