AI speech models depend heavily on high-quality datasets. Gworldsoft provides datasets prepared for TTS, STT, speech recognition, voice cloning research, language modelling and conversational AI — with WAV audio, corresponding transcriptions and the metadata required for model development.
| Dataset / Technology | Approx. Volume | Potential Applications |
|---|---|---|
| Yoruba WAV Speech Dataset | 150+ hours | STT, TTS, voice AI, research |
| Igbo Dedicated WAV Dataset | 120+ hours | STT, TTS, voice AI, research |
| Ibibio WAV Speech Dataset | 100+ hours | STT, TTS, voice AI, research |
| YORA-TTS | TTS Models | Yoruba / local-language speech synthesis |
| Custom Voice Datasets | Custom | Enterprise AI / model training |
| Custom Speech Data | Custom | Banking, telecom, government, research |
For commercial engagements, exact dataset duration, licensing terms, speaker counts, transcription format, sampling rate, annotation structure and usage rights are documented and substantiated per dataset.
150+ hours of WAV speech data supporting Yoruba TTS/STT, voice assistants, conversational AI, telecom & banking voice systems, and educational technology.
~120 hours of dedicated WAV audio enabling organizations to build Igbo-specific AI systems rather than depending on generic multilingual models.
~100 hours of WAV audio — particularly valuable given how underrepresented Ibibio remains in mainstream AI datasets.
When the dataset you need doesn't already exist, we build it around your specification.
Voice banking, IVR modernization, call-center transcription, citizen services and language learning — all built on domain-specific speech data.
