Urdu Speech Recognition Flags Dataset

Urdu Asr Flags is an audio dataset for Urdu automatic speech recognition, hosted by abidlabs on Hugging Face. The dataset was last updated on March 20, 2022. It is categorized as containing n1K (1,000+) audio samples.

Use Cases

• Train an acoustic model to recognize Urdu phonemes from audio waveforms.
• Benchmark ASR system performance on Urdu speech using provided audio samples and transcriptions.
• Fine-tune a pre-trained multilingual speech model on Urdu-specific audio features.

Strengths

• Contains over 1,000 audio samples, as indicated by its 'n1K' size category.
• Focuses on a specific, lower-resource language (Urdu), filling a potential data gap.

Limitations

• Exact row count, audio duration, and speaker demographics are unknown.
• Dataset may have limited speaker diversity or recording conditions due to its size.
• Data is from 2022 and may not reflect latest speech patterns or vocabulary.

Provenance

Source

abidlabs via Hugging Face.

Collection Method

Collection method for the audio recordings is not specified.

Time Range

null

Freshness

Last updated in March 2022.

Geography

Region tag indicates 'us', but content is Urdu language; geographic origin of recordings is unclear.