Background and aim: Most patients with Parkinson’s disease (PD) develop speech disorders during the course of the disease. These disorders severely affect the speech intelligibility and vocal quality of these people. The aim of this paper is to characterize the voice and speech of subjects with PD through the automatic analysis of voice recordings. We also study whether there is a relationship between the acoustic parameters extracted from the recordings and the quality of the voice perceived by the subjects themselves. Materials and methods: This is a descriptive correlational study in which 20 subjects with PD and 20 healthy controls were compared. The subjects with PD completed the VHI-30 instrument and performed sustained phonation of different vowels in Spanish. The stage of the disease was also evaluated using the Hoehn and Yahr scale. Results: There are greater vocalic changes in subjects with PD than in healthy controls. In particular, significant differences were found for the vowel space area, intensity, F0, jitter and shimmer. No statistically significant associations were found between these acoustic parameters and the voice quality as perceived by the subjects with PD. Conclusions: Acoustic analysis of voice and speech may be of great help in characterizing the state of hypokinetic dysarthria in PD patients. In addition, automatic tools of this type could be used in the future in a complementary manner to facilitate identifying treatment needs in PD patients.