TTS Dataset Guj Eng: 60 Minutes of Indian English and Gujarati Speech

rtxtd's Tts Dataset Guj Eng is a high-quality Text-to-Speech training dataset. It contains 120 audio samples totaling 60 minutes of speech, evenly split between Indian English and Gujarati languages. The dataset was last updated on 2026-06-17.

Use Cases

• Train text-to-speech models based on the described 60 minutes of high-quality audio.
• Fine-tune speech synthesis for Indian English based on the 30 minutes of en-IN samples.
• Develop Gujarati speech synthesis systems based on the 30 minutes of gu-IN samples.
• Create bilingual TTS models leveraging the parallel language structure described.

Strengths

• Contains 60 minutes of total audio, providing a defined quantity of training data.
• Includes a balanced split of 30 minutes each for Indian English and Gujarati languages.
• Comprises 120 individual samples, each 30 seconds long, suggesting consistent sample length.

Limitations

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

Provenance

Source

rtxtd

Freshness

Last updated 2026-06-17 19:58:24; freshness should be verified.

Geography

India (implied by language focus)