Wolof Audio Recordings with Transcriptions for ASR Development

The Wolof Audio Dataset is a collection of audio recordings and corresponding transcriptions in Wolof, designed to support Automatic Speech Recognition (ASR) model development. It was created by the author galsenai, combining four existing datasets: ALFFA, FLEURS, and the Urban Bus Wolof Speech Dataset. The dataset was last updated on 2024-12-25.

Use Cases

• Train Automatic Speech Recognition (ASR) models based on the described Wolof audio recordings.
• Fine-tune multilingual speech models based on the Wolof language data.
• Benchmark speech-to-text performance for low-resource languages based on the combined dataset sources.
• Develop language technology applications for Wolof speakers based on the available transcriptions.

Strengths

• Dataset is specifically designed for Automatic Speech Recognition (ASR) model development.
• Combines four existing datasets (ALFFA, FLEURS, Urban Bus Wolof Speech Dataset), suggesting a composite source.
• Last update recorded on 2024-12-25, indicating recent maintenance.

Limitations

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

Provenance

Source

Combination of four datasets: ALFFA (serge-wilson/wolof_speech_transcription), FLEURS (vonewman/fleurs-wolof-dataset), and Urban Bus Wolof Speech Dataset (vonewman/urban-bus-wolof).

Collection Method

Created by combining existing datasets.

Freshness

Last updated 2024-12-25 12:42:59; freshness should be verified.