MIX-HI-EN-TTS: Bilingual Multi-Speaker Speech Synthesis Data

SKT AI LABS sorted this multi-speaker bilingual speech synthesizer dataset. The dataset is intended for text-to-speech applications. It was last updated on 2026-05-19.

Use Cases

• Train a bilingual text-to-speech model based on the described Hindi-English speech data.
• Develop a multi-speaker voice cloning system based on the multi-speaker nature of the dataset.
• Fine-tune speech synthesis models for code-switching scenarios based on the bilingual description.

Strengths

• Dataset is sorted by SKT AI LABS, suggesting some level of curation.
• Dataset is described as multi-speaker and bilingual, indicating two key features.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

SKT AI LABS

Freshness

Last updated 2026-05-19 11:05:26; freshness should be verified.