HiFiTTS: Multi-Speaker English Speech Synthesis from Public Domain Audio Books

Hi-Fi TTS is a multi-speaker English text-to-speech dataset derived from LibriVox's public domain audio books and Project Gutenberg texts. The dataset was created by MikhailT and was last updated on Hugging Face on November 30, 2023. Its specific size, row count, and file formats are not detailed in the provided metadata.

Use Cases

• Train text-to-speech models based on the described multi-speaker audio data.
• Benchmark speech synthesis quality based on the described high-fidelity audio source.
• Develop voice cloning systems based on the described multi-speaker corpus.
• Research prosody and intonation patterns based on the described audiobook narration.

Strengths

• Derived from established public domain sources: LibriVox and Project Gutenberg.
• Last updated on the platform on 2023-11-30 07:17:30.

Limitations

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

Provenance

Source

LibriVox and Project Gutenberg.

Collection Method

Based on public domain audio books and texts.

Time Range

null

Freshness

Last updated 2023-11-30 07:17:30; freshness should be verified.

Geography

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