This paper presents a design for two novel methods of speech fundamental frequency (f0) detection in pathological voices. The methods are tested on the database of vowelsustained phonation. One method is based on the detection of maxima and the other on signal filtration with band pass. Compared to other well known f0 detection methods, our algorithms are designed with respect to speech patholo...

This study focuses on the classification of pathological voice using GMM (Gaussian Mixture Model) and compares the results to the previous work which was done by ANN (Artificial Neural Network). Speech data from normal people and patients were collected, then diagnosed and classified into two different categories. Six characteristic parameters (Jitter, Shimmer, NHR, SPI, APQ and RAP) were chose...

Abstract Background Injection laryngoplasty is a surgical procedure used in management of glottal insufficiency. The objective this study was to assess respiratory and voice outcomes office-based injection patients with unilateral vocal fold paralysis (UVFP). Ten underwent via transcutaneous approach using Radiesse or hyaluronic acid. Auditory perceptual assessment (APA), handicap index (VHI), ...

This paper investigates the adaptation of automatic speech recognition to disease detection by analyzing the voice parameters. The analysis of the voice allows the identification of the diseases which affect the vocal apparatus and currently is carried out from an expert doctor through methods based on the auditory analysis. This paper presents a novel method to keep track of patient’s patholog...

Acoustic analysis of voice quality proves useful in the objective assessment of voice disorders and for motivating new components for use in improving voice synthesis. A commonly used quantitative spectral index is the harmonicsto-noise ratio (HNR), which gives gross information regarding speech signal periodicity. However, as the measure is sensitive to all forms of waveform aperiodicities (no...

This paper addresses the recognition of elderly callers based on short and narrow-band utterances, which are typical for Interactive Voice Response (IVR) systems. Our study is based on 2308 short utterances from a deployed IVR application. We show that features such as speaking rate, jitter and shimmer that are considered as most meaningful ones for determining elderly users underperform when u...

The classification performance of an automatic classifier of voice pathology for the detection of normal and pathologic voice types is presented. The proposed classification system is non-intrusive and fully automated. Speech files of sustained phonation of the vowel sound /a/ in the 'Disordered Voice Database Model 4337' provided 631 subjects of both genders (58 normal, 573 pathologic). This d...

The hoarseness diagram supplies a method to quantitatively describe the periodicity and the noise content of voices. It is based on four acoustic measures, three of which assess different aspects of periodicity (jitter, shimmer, mean period correlation) while one indicates the relative amount of additive noise (glottal to noise excitation ratio). The behavior of these measures is discussed in d...