HUPA: a Castilian Spanish Corpus of Voice Disorders

The HUPA corpus is a comprehensive clinical dataset comprising sustained-vowel voice recordings from 440 native Castilian Spanish speakers, including 239 healthy controls and 201 individuals diagnosed with a wide range of voice disorders. In addition to the audio recordings, the corpus provides subjective evaluations of voice quality performed by an expert using the GRBAS scale (Grade, Roughness, Breathiness, Asthenia, Strain), as well as a set of carefully curated acoustic parameters extracted from each sample to offer an objective characterisation of vocal characteristics. The HUPA corpus, therefore, constitutes a substantial resource for the investigation of the acoustic manifestations of voice disorders in Castilian Spanish and for the development and benchmarking of automatic voice pathology assessment methods. It has already supported multiple studies on automatic screening and acoustic feature design, illustrating its potential as a reference resource, while the broader challenge of developing robust, cross-corpus screening systems that generalise across languages, recording conditions and clinical populations remains an open research question