2 research outputs found

    Bulbar ALS Detection Based on Analysis of Voice Perturbation and Vibrato

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    On average the lack of biological markers causes a one year diagnostic delay to detect amyotrophic lateral sclerosis (ALS). To improve the diagnostic process an automatic voice assessment based on acoustic analysis can be used. The purpose of this work was to verify the sutability of the sustain vowel phonation test for automatic detection of patients with ALS. We proposed enhanced procedure for separation of voice signal into fundamental periods that requires for calculation of perturbation measurements (such as jitter and shimmer). Also we proposed method for quantitative assessment of pathological vibrato manifestations in sustain vowel phonation. The study's experiments show that using the proposed acoustic analysis methods, the classifier based on linear discriminant analysis attains 90.7\% accuracy with 86.7\% sensitivity and 92.2\% specificity.Comment: Proc. of International Conference Signal Processing Algorithms, Architectures, Arrangements, and Applications (SPA 2019

    Characteristics of speech and voice as predictors of the quality of communication in adults with dysarthria

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    Π”ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜Π° прСдставља ΠΌΠΎΡ‚ΠΎΡ€Π½ΠΈ ΠΏΠΎΡ€Π΅ΠΌΠ΅Ρ›Π°Ρ˜ Π³ΠΎΠ²ΠΎΡ€Π° који Π·Π°Ρ…Π²Π°Ρ‚Π° Ρ€Π΅ΡΠΏΠΈΡ€Π°Ρ†ΠΈΡ˜Ρƒ, Ρ„ΠΎΠ½Π°Ρ†ΠΈΡ˜Ρƒ, Ρ€Π΅Π·ΠΎΠ½Π°Π½Ρ†ΠΈΡ˜Ρƒ, Π°Ρ€Ρ‚ΠΈΠΊΡƒΠ»Π°Ρ†ΠΈΡ˜Ρƒ ΠΈ ΠΏΡ€ΠΎΠ·ΠΎΠ΄ΠΈΡ˜Ρƒ ΠΈ ΠΌΠΎΠΆΠ΅ сС манифСстовати ΠΎΡˆΡ‚Π΅Ρ›Π΅ΡšΠ΅ΠΌ свих ΠΈΠ»ΠΈ само Π½Π΅ΠΊΠΈΡ… ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΈ процСса Π³ΠΎΠ²ΠΎΡ€Π½Π΅ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ†ΠΈΡ˜Π΅. ОсобС са Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ ΠΈΠΌΠ°Ρ˜Ρƒ Π½Π°Ρ€ΡƒΡˆΠ΅Π½Ρƒ разумљивост Π³ΠΎΠ²ΠΎΡ€Π° ΠΊΠ°ΠΎ ΠΈ ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚ ΠΊΠΎΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΡ˜Π΅. Основни Ρ†ΠΈΡ™Π΅Π²ΠΈ ΠΈΡΡ‚Ρ€Π°ΠΆΠΈΠ²Π°ΡšΠ° су Π±ΠΈΠ»ΠΈ Π΄Π° сС ΡƒΡ‚Π²Ρ€Π΄Π΅ карактСристикС Π³ΠΎΠ²ΠΎΡ€Π° ΠΈ гласа одраслих особа са Ρ…ΠΈΠΏΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΡ‡ΠΊΠΎΠΌ, спастичном, Ρ„Π»Π°Ρ†ΠΈΠ΄Π½ΠΎΠΌ ΠΈ атаксичном Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΎΠΌ акустичкС ΠΈ спСктралнС Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΈ Π΄Π° сС ΡƒΡ‚Π²Ρ€Π΄ΠΈ ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚ ΠΊΠΎΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΡ˜Π΅ ΠΊΠΎΡ˜Ρƒ ΠΎΡΡ‚Π²Π°Ρ€ΡƒΡ˜Ρƒ ΠΎΠ²Π΅ особС ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΎΠΌ инструмСнта Π·Π° самопроцСну стСпСна Ρ…Π΅Π½Π΄ΠΈΠΊΠ΅ΠΏΠ° Ρƒ ΠΊΠΎΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΡ˜ΠΈ. ΠšΡ€Π°Ρ˜ΡšΠΈ Ρ†ΠΈΡ™ ΠΈΡΡ‚Ρ€Π°ΠΆΠΈΠ²Π°ΡšΠ° сС односио Π½Π° ΡƒΡ‚Π²Ρ€Ρ’ΠΈΠ²Π°ΡšΠ΅ карактСристика Π³ΠΎΠ²ΠΎΡ€Π° ΠΈ гласа којС ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Ρ™Π°Ρ˜Ρƒ ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€Π΅ ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚Π° ΠΊΠΎΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΡ˜Π΅ ΠΊΠΎΠ΄ особа са Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΡ‚ΠΈΠΌ Ρ‚ΠΈΠΏΠΎΠ²ΠΈΠΌΠ° Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜Π΅. Π£Π·ΠΎΡ€Π°ΠΊ јС Ρ‡ΠΈΠ½ΠΈΠ»ΠΎ 129 испитаника са Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ, ΠΎΠ΄ Ρ‡Π΅Π³Π° 33 са Ρ…ΠΈΠΏΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΡ‡ΠΊΠΎΠΌ, 36 са спастичном ΠΈ ΠΏΠΎ 30 са Ρ„Π»Π°Ρ†ΠΈΠ΄Π½ΠΎΠΌ ΠΈ атаксичном Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ. Π˜ΡΠΏΠΈΡ‚Π°Π½ΠΈΡ†ΠΈ су Π±ΠΈΠ»ΠΈ ΠΎΠ±Π° ΠΏΠΎΠ»Π°, узраста ΠΎΠ΄ 21 Π΄ΠΎ 94 Π³ΠΎΠ΄ΠΈΠ½Π΅ (М=66,07). Π£ ΠΈΡΡ‚Ρ€Π°ΠΆΠΈΠ²Π°ΡšΡƒ су ΠΊΠΎΡ€ΠΈΡˆΡ›Π΅Π½ΠΈ слСдСћи инструмСнти: ΠšΠΎΠΌΠΏΡ˜ΡƒΡ‚Π΅Ρ€ΡΠΊΠΈ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌ Π·Π° ΠΌΡƒΠ»Ρ‚ΠΈΠ΄ΠΈΠΌΠ΅Π½Π·ΠΈΠΎΠ½Π°Π»Π½Ρƒ Π°Π½Π°Π»ΠΈΠ·Ρƒ гласа (MDVP) Ρ€Π°Π΄ΠΈ ΡƒΡ‚Π²Ρ€Ρ’ΠΈΠ²Π°ΡšΠ° врСдности акустичких ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Π°Ρ€Π° који ΡƒΠΊΠ°Π·ΡƒΡ˜Ρƒ Π½Π° Π²Π°Ρ€ΠΈΡ˜Π°Π±ΠΈΠ»Π½ΠΎΡΡ‚ Ρ„Ρ€Π΅ΠΊΠ²Π΅Π½Ρ†ΠΈΡ˜Π΅ гласа, Π½Π° Π²Π°Ρ€ΠΈΡ˜Π°Π±ΠΈΠ»Π½ΠΎΡΡ‚ ΠΈΠ½Ρ‚Π΅Π½Π·ΠΈΡ‚Π΅Ρ‚Π° гласа, Π½Π° присуство Ρ‚Ρ€Π΅ΠΌΠΎΡ€Π° ΠΈ ΡˆΡƒΠΌΠ° Ρƒ гласу, Π½Π° ΠΏΠΎΡΡ‚ΠΎΡ˜Π°ΡšΠ΅ субхармоника ΠΈ ΠΏΡ€Π΅ΠΊΠΈΠ΄Π° Ρƒ гласу, ΠΊΠ°ΠΎ ΠΈ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° Π±Π΅Π· гласа ΠΈ Ρ€Π°Π΄ΠΈ ΡƒΡ‚Π²Ρ€Ρ’ΠΈΠ²Π°ΡšΠ° врСдности спСктралних ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Π°Ρ€Π° свих Π²ΠΎΠΊΠ°Π»Π° ΠΈ ΠΏΠΎΡ˜Π΅Π΄ΠΈΠ½ΠΈΡ… консонаната; Балансирани тСкст Π½Π° основу ΠΊΠΎΠ³Π° јС ΠΈΠ·Π²Ρ€ΡˆΠ΅Π½Π° спСктрална Π°Π½Π°Π»ΠΈΠ·Π° гласа; Π‘ΠΊΠ°Π»Π° ,,ИндСкс гласовног ΠΎΡˆΡ‚Π΅Ρ›Π΅ΡšΠ°β€œ (VHI) Π½Π° основу којС јС ΠΈΠ·Π²Ρ€ΡˆΠ΅Π½Π° ΠΏΡ€ΠΎΡ†Π΅Π½Π° ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚Π° ΠΊΠΎΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΡ˜Π΅ особа са Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ. Π”ΠΎΠ±ΠΈΡ˜Π΅Π½ΠΈ Ρ€Π΅Π·ΡƒΠ»Π°Ρ‚ΠΈ су ΡƒΠΊΠ°Π·Π°Π»ΠΈ Π½Π° Ρ‚ΠΎ Π΄Π° карактСристикС Π³ΠΎΠ²ΠΎΡ€Π° ΠΈ гласа одраслих особа са Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ Π·Π½Π°Ρ‡Π°Ρ˜Π½ΠΎ ΠΎΠ΄ΡΡ‚ΡƒΠΏΠ°Ρ˜Ρƒ ΠΎΠ΄ Π½ΠΎΡ€ΠΌΠΈ ΠΈ Π΄Π° сС Ρ€Π°Π·Π»ΠΈΠΊΡƒΡ˜Ρƒ ΠΌΠ΅Ρ’Ρƒ испитаницима са Ρ…ΠΈΠΏΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΡ‡ΠΊΠΎΠΌ, Ρ„Π»Π°Ρ†ΠΈΠ΄Π½ΠΎΠΌ, спастичном ΠΈ атаксичном Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ. Π’Π°ΠΊΠΎΡ’Π΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ сС Π΄Π° јС ΠΊΠΎΠ΄ особа са Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ Π½Π°Ρ€ΡƒΡˆΠ΅Π½ ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚ ΠΊΠΎΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΡ˜Π΅ ΠΈ Π΄Π° ΠΏΠΎΡΡ‚ΠΎΡ˜Π΅ сличности ΠΌΠ΅Ρ’Ρƒ испитаницима са Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΡ‚ΠΈΠΌ Ρ‚ΠΈΠΏΠΎΠ²ΠΈΠΌΠ° Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜Π΅ Ρƒ стСпСну Π΄ΠΎΠΆΠΈΠ²Ρ™Π΅Π½ΠΎΠ³ Ρ…Π΅Π½Π΄ΠΈΠΊΠ΅ΠΏΠ° насталог услСд ΠΏΠΎΡ€Π΅ΠΌΠ΅Ρ›Π°Ρ˜Π° гласа. На основу Ρ€Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚Π° јС ΡƒΡ‚Π²Ρ€Ρ’Π΅Π½ΠΎ Π΄Π° врСдности акустичких ΠΈ спСктралних ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Π°Ρ€Π° који ΠΎΠ΄Ρ€Π΅Ρ’ΡƒΡ˜Ρƒ карактСристикС Π³ΠΎΠ²ΠΎΡ€Π° ΠΈ гласа одраслих особа са Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜ΠΎΠΌ ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Ρ™Π°Ρ˜Ρƒ ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€Π΅ ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚Π° ΠΊΠΎΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΡ˜Π΅ ΠΈ Π΄Π° сС ΠΎΠ½ΠΈ Ρ€Π°Π·Π»ΠΈΠΊΡƒΡ˜Ρƒ ΠΌΠ΅Ρ’Ρƒ субгрупама испитаника. Π’Π°ΠΊΠΎΡ’Π΅ сС ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ Π΄Π° социодСмографскС карактСристикС испитаника, ΠΊΠ°ΠΎ ΠΈ Ρ‚ΠΈΠΏ Π΄ΠΈΠ·Π°Ρ€Ρ‚Ρ€ΠΈΡ˜Π΅ ΠΌΠΎΠ³Ρƒ прСдстављати ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€Π΅ ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚Π° ΠΊΠΎΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΡ˜Π΅.Dysarthria is a motor speech disorder that involves respiration, phonation, resonance, articulation, and prosody, and can be manifested by damage of all or only some components of the speech production process. People with dysarthria have impaired speech intelligibility, and quality of communication. The main goals of the research were to determine the characteristics of speech and voice in adults with hypokinetic, spastic, flaccid and ataxic dysarthria by using an acoustic and spectral analysis, and to determine the quality of communication achieved by these individuals by applying a voice handicap self-assessment instrument. The ultimate goal of the research was to determine the characteristics of speech and voice that are predictors of the quality of communication in individuals with various types of dysarthria. The sample consisted of 129 respondents with dysarthria, 33 of them being with hypokinetic, 36 with spastic and 30 with flaccid and ataxic dysarthria each. The respondents were of both sexes aged 21-94 (М=66,07). The following instruments were used in the research: Multi-Dimensional Voice Program (MDVP) analysis to determine the values of acoustic parameters that indicate the variability of voice frequency, the variability of voice intensity, the presence of tremor and noise in the voice, the presence of subharmonics and interruptions in the voice, as well as periods without voice, and to determine the values of the spectral parameters of Π°ll vowels and certain consonants; Balanced text based on which spectral analysis of the speech was performed; β€œVoice Handicap Index” (VHI) scale used to assess the quality of communication in individuals with dysarthria. The obtained results showed that characteristics of speech and voice in adults with dysarthria significantly deviate from norms and that they differ among the respondents with hypokinetic, flaccid, spastic and ataxic dysarthria. Also, they showed that the quality of communication was impaired in individuals with dysarthria and that there are similarities among respondents with different types of dysarthria in the degree of handicap experienced by different voice disorders. Based on the results, it was determined that values of acoustic and spectral parameters that determine the characteristics of speech and voice in adults with dysarthria are the predictors of the quality of communication and that they differ among subgroups of respondents. Also, it has been shown that sociodemographic characteristics of respondents and the type of dysarthria can be predictors of the quality of communication
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