PAVSig: Polish multichannel Audio-Visual child speech dataset with double-expert Sigmatism diagnosis

The paper introduces PAVSig: Polish Audio-Visual child speech dataset for computer-aided diagnosis of Sigmatism (lisp). The study aimed to gather data on articulation, acoustics, and visual appearance of the articulators in normal and distorted child speech, particularly in sigmatism. The data was collected in 2021-2023 in six kindergarten and school facilities in Poland during the speech therapy examinations of 201 children aged 4-8. The diagnosis was performed simultaneously with data recording, including 15-channel spatial audio signals and a dual-camera stereovision stream of the speaker's oral region. The data record comprises audiovisual recordings of 51 words and 17 logotomes containing all 12 Polish sibilants and the corresponding speech therapy diagnoses from two independent speech therapy experts. In total, we share 66,781 audio-video segments, including 12,830 words and 53,951 phonemes (12,576 sibilants).