Modern TTS Dataset for Speech Synthesis Models

modern-tts-dataset is a dataset for text-to-speech (TTS) research, published on Kaggle. The dataset likely contains audio recordings paired with corresponding text transcripts. Specific details on size, source, and creation date are not provided in the available metadata.

Use Cases

• Train a neural TTS model to generate speech from text (inferred from domain, verify after download)
• Fine-tune a voice cloning system on new speaker data (inferred from domain, verify after download)
• Benchmark speech synthesis quality against existing models (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing infrastructure.
• Title suggests a focus on modern TTS methods, which may imply contemporary audio formats or linguistic coverage.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file size, and audio specifications are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Kaggle

Collection Method

Method of collection is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.