Voices In The Wild 2M

Voices in the Wild 2M is an automatic speech recognition dataset designed for robustness training and evaluation. The dataset contains audio files grouped by normalized acoustic subset, with fields for file paths and reference transcriptions. It was created by author zhifeixie and last updated on Hugging Face in May 2026.

Use Cases

• Train speech recognition models for robustness based on diverse acoustic conditions mentioned in the description.
• Evaluate model performance across different acoustic subsets based on the dataset's grouping.
• Benchmark transcription accuracy using the provided reference transcriptions (answer field).

Strengths

• Dataset is explicitly designed for robustness training and evaluation under diverse acoustic conditions.
• Audio files are grouped by normalized acoustic subset, which may facilitate targeted analysis.

Limitations

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

Provenance

Source

Hugging Face, author zhifeixie.

Collection Method

Likely contains automatically gathered or processed audio and transcription data.

Time Range

null

Freshness

Last updated 2026-05-19 08:51:14; freshness should be verified.

Geography

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