TTS Ahmet Deniz Tur: Turkish Text-to-Speech Audio and Text Dataset

A Turkish text-to-speech dataset created by author omersaidd to improve the performance of open-source TTS models for the Turkish language. The dataset was last updated on Hugging Face on January 11, 2026. It was constructed by processing videos from various sources into a training-ready format.

Use Cases

• Training text-to-speech models for Turkish based on the audio-text pairs.
• Fine-tuning pre-trained TTS models to improve Turkish pronunciation and output quality.
• Benchmarking the performance of open-source speech synthesis architectures on Turkish data.
• Researching phonetic and prosodic characteristics of the Turkish language from speech data.

Strengths

• Dataset is explicitly designed for improving Turkish TTS model performance, providing a clear purpose.
• Data was processed from various video sources into a training-ready format, suggesting some curation.

Limitations

• Row count, file size, and specific column structure are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is unknown, which may restrict commercial or research use.

Provenance

Source

Hugging Face dataset uploaded by user omersaidd.

Collection Method

Videos from various sources were processed into a training-ready format.

Time Range

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Freshness

Last updated 2026-01-11 13:54:29; freshness should be verified.

Geography

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