F5I9N7A1: Korean Multispeaker Speech Corpus for TTS

A Korean multispeaker speech corpus project for text-to-speech research. It contains preprocessed speech–text pairs, metadata, and linguistic annotations for model training. The dataset was created by aanonyyy and last updated on Hugging Face in October 2025.

Use Cases

• Train text-to-speech models based on Korean speech-text pairs.
• Develop multispeaker voice synthesis systems based on the corpus structure.
• Conduct linguistic analysis based on the included annotations.
• Fine-tune speech models for Korean language based on the preprocessed data.

Strengths

• Includes preprocessed speech-text pairs, metadata, and linguistic annotations.
• Integrates external datasets like KSS and EMILIA, suggesting a composite corpus.
• Last updated on 2025-10-22, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect speaker or source bias inherent to the aggregated datasets.

Provenance

Source

huggingface

Collection Method

Part of a Korean multispeaker speech corpus project; likely aggregated and preprocessed from multiple sources.

Freshness

Last updated 2025-10-22 18:34:04.

Geography

Korea (inferred from language focus).