Kaldi

Automated Cross-language Intelligibility Analysis of Parkinson’s Disease Patients Using Speech Recognition Technologies

Speech deficits are common symptoms amongParkinson’s Disease (PD) patients. The automatic assessment of speech signals is promising for the evaluation of the neurological state and the speech quality of the patients. Recently, progress has been made …

Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises

This paper presents preliminary results for the analysis of intelligibility in the speech of Parkinson's Disease (PD) patients. An automatic speech recognition system is used to compute the word error rate (WER), the Levenshtein distance, and the …

Multimodal I-vectors to Detect and Evaluate Parkinson's Disease

Parkinson's Disease (PD) is a neurodegenerative disorder characterized by a variety of motor symptoms. PD patients show several motor deficits, including speech deficits, impaired handwriting and gait disturbances. In this work we propose a …

Phonological i-Vectors to Detect Parkinson's Disease

Speech disorders are common symptoms among Parkinson’s disease patients and affect the speech of patients in different aspects. Currently, there are few studies that consider the phonological dimension of Parkinson’s speech. In this work, we use a …

Language independent assessment of motor impairments of patients with Parkinson’s disease using i-vectors

Speech disorders are among the most common symptoms in patients with Parkinson’s disease. In recent years, several studies have aimed to analyze speech signals to detect and to monitor the progression of the disease. Most studies have analyzed …