Yoruba BibleTTS Aligned: Text and Audio for Speech Synthesis

Yoruba BibleTTS Aligned is a dataset for text-to-speech research, published on Kaggle. The title suggests it contains aligned text and audio data, likely derived from biblical text in the Yoruba language. Metadata is minimal; the exact number of samples, audio characteristics, and alignment methodology require verification after download.

Use Cases

• Train a text-to-speech model for Yoruba (inferred from domain, verify after download)
• Develop forced alignment tools for audio-text pairs (inferred from domain, verify after download)
• Benchmark speech synthesis quality for African languages (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing infrastructure.
• The title explicitly mentions alignment, suggesting a core feature for TTS tasks.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect source bias inherent to its biblical text origin.