S-DiverSe: Spanish Diverse Speech corpus for ASR

Researchers present S-DiverSe, a corpus of 3.2 hours of in-the-wild Spanish speech from 22 speakers with neurological conditions including amyotrophic lateral sclerosis, Parkinson's disease, and stroke.

• The dataset contains 444 manually transcribed audio segments with metadata on speaker sex, disease type, and intelligibility.
• It is designed to support ASR evaluation and development for neurologically affected Spanish speech.
• Baseline ASR results and initial adaptation experiments were reported alongside the dataset description.
• Findings reveal that heuristic text post-processing is more robust than fine-tuning for out-of-domain neurological Spanish speech.

The work underscores the need for dedicated in-the-wild Spanish benchmarks to address challenges in automatic speech recognition for affected populations.