Kannada Speech Recognition Benchmark Dataset

A benchmark dataset for Kannada speech recognition tasks, created by thezholdoshbekov. The dataset was last updated in March 2026 and is hosted on the Hugging Face platform with a size category of 1K to 10K entries. It is associated with libraries for tabular and text data processing.

Use Cases

• Train automatic speech recognition models on Kannada audio samples and corresponding text transcriptions.
• Benchmark model performance for Kannada speech-to-text conversion against a standardized test set.
• Perform audio classification to identify speaker demographics or acoustic conditions using metadata features.
• Fine-tune pre-trained multilingual speech models on the specific phonetic and lexical features of Kannada.

Strengths

• Dataset size is categorized between 1,000 and 10,000 entries, providing a substantive corpus.
• Includes metadata for region (US), aiding in analysis of geographic or accent influences.

Limitations

• Exact row count, audio duration, and speaker count are unknown, limiting reproducibility assessments.
• Specific license terms are unspecified, which may restrict commercial use or redistribution.

Provenance

Source

Hugging Face user thezholdoshbekov.

Collection Method

Collection method is unspecified.

Freshness

Last updated March 2026, indicating recent maintenance.

Geography

Associated with region 'us', though the primary language content is Kannada.