Gujarati Indic TTS Dataset with Male and Female Speaker Recordings

High-quality Gujarati speech recordings with text transcriptions, derived from the Indic TTS Database project. The dataset contains monolingual recordings from both male and female speakers, curated by SPRINGLab. It was last updated on the Hugging Face platform on 2025-01-27.

Use Cases

• Train text-to-speech models based on high-quality Gujarati speech recordings.
• Benchmark speech synthesis quality for Indic languages based on the monolingual recordings.
• Develop multi-speaker TTS systems based on the included male and female speaker data.

Strengths

• Contains high-quality speech recordings as stated in the description.
• Includes transcriptions aligned with audio, suitable for TTS model training.
• Features recordings from both male and female speakers.

Limitations

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

Provenance

Source

Indic TTS Database project, via SPRINGLab.

Collection Method

Derived from Gujarati monolingual recordings.

Freshness

Last updated 2025-01-27 07:42:39; freshness should be verified.