Bhramari Pranayama - A Unique Voice Culturing Technique

A good voice is the basic need of humans. For professional voice users, voice governs their livelihood and social attraction. A good singing voice is attained by the regular vocal exercises and vocal training. Singing involves the skills like respiration, phonation, resonance and articulation. Bhramari Pranayama (BP) involves both humming and respiration. Humming is the resultant of the activity vocal structures which may have effect on the quality of the voice. Aim: To evaluate the effect of Bhramari Pranayama (BP) on voice quality Settings and Design: The study is an open clinical trial involving 30 healthy prospective singers fulfilling the inclusion and exclusion criteria, consenting for the study, who were enrolled through a survey in music schools in the region of Belagavi, Karnataka. Methods and Material: The voice of the 30 healthy prospective singers was recorded using PRAAT software with standard vocal tasks on day 0 of the study. Participants practiced 21 cycles of Bhramari Pranayama in the morning for 30 days. On Day 30, after the practice the voice was re-recorded with same vocal tasks and standard operative procedures being maintained. The recorded voice samples were saved and were subjected for voice analysis using softwares PRAAT, Vaghmi, CSL at AIISH, Mysuru. Statistical analysis used: Statistical analysis was done using SPSS 21 and Paired ‘t’ test was applied to derive the results. Statistical Significance was set up at p<0.05. Results: Bhramari pranayama showed highly significant results in the root mean square values of the Singing power ratio - SPR (p<0.01) and singing power difference (p<0.01). Significant results in the lowest value of the singing amplitude (p<0.05), singing amplitude range (p<0.01) and mean formant frequency of second formant of vowel /u/(p<0.05). Conclusion: Bhramari Pranayama improved the resonance characteristics of the voice and there by improved the quality of singing voice in prospective singers.

Acoustic analysis of an articulation assessment and training system / 中华物理医学与康复杂志

Objective:To compare the differences in important parameters between the articulation assessment and training system of intelligently extracted speech with those from the Praat acoustic software and those manually extracted.Methods:The speech of thirty-two normal subjects was captured using the intelligent articulation assessment and training system and using Praat acoustic software. The former analyzed the mean fundamental frequencies (mF0s), the first formant peaks (F1s) and the second formant peak (F2s) of the sustained vowels /a/, /i/ and /u/. The speech parameters collected by the traditional Praat software were extracted and analyzed by professionals. The two tools′ consistency in terms of these important acoustic parameters was analyzed.Results:The results with all 32 subjects when retested returned ICC values above 0.9 with all three vowels with the exception of mF0 for /u/ (ICC=0.75), indicating excellent retest reliability for the articulation assessment and training system. The ICC values also indicated excellent consistency between the two kinds of software in analyzing mF0, F1 and F2 of the three vowels. The mF0, F1, F2, FCR, VAI, tongue spacing, VSA, and mandibular spacing of all three vowels were mostly distributed within the 95% confidence interval of the data points in Bland-Altman plots, indicating the high accuracy of both acoustic analysis systems in speech measurement. The mean fundamental frequency values of the male long vowels /a/, /i/ and /u/ were all significantly lower than for the female long versions.Conclusions:The retest reliability of the articulation assessment and training system was good, and the results of the articulation check in the natural state were in good consistency compared to the Praat check and were interchangeable in the articulation check.

Description of acoustic and articulatory parameters of vowels in mapudungun speakers: pilot study / Descripción de parámetros acusticos y articulatorios de las vocales en hablantes de mapudungun: estudio piloto

Mapudungun is a language used by Mapuche people in some regions of Chile and Argentina. The aim of this study was to describe the vowel phonemes with regard to the articulatory parameters (position of the tongue with respect to the palate and jaw opening) and acoustic parameters (f0, F1, F2 and F3) in Mapudungun speakers in the Region of La Araucanía. The vocalic phonemes of Mapudungun are six, where the first five are similar to those used in Spanish (/a e i o u/), to which is added a sixth vowel (/ɨ/) with its vocalic allophones (/ɨ/) and [Ә]. Three Mapudungun speakers were evaluated. The tongue movements were collected by Electromagnetic Articulography 3D and the data were processed with MATLAB and PRAAT software. It was possible to describe the trajectory of each third of the tongue during the production of the vowels. It was observed that the sixth vowel /Ә/ had minimal jaw opening during its pronunciation. In addition, the characteristic of /Ә/ as an unrounded mid-central vowel was corroborated. In this study, the tongue of mapudungun speakers was in a more posterior position than the found in other studies.

El Mapudungun es un lenguaje utilizado por los mapuches en algunas regiones de Chile y Argentina. El objetivo de este estudio fue describir los fonemas vocálicos respecto a los parámetros articulatorios (posición de la lengua respecto al paladar y apertura mandibular) y los parámetros acústicos (f0, F1, F2 y F3) en hablantes de Mapudungun en la Región de La Araucanía, los fonemas vocálicos de Mapudungun son seis, donde los primeros cinco son similares a los utilizados en español (/a e i o u /), a los que se agrega una sexta vocal (/ɨ/) con sus alófonos vocálicos [ɨ] y [Ә]. Se evaluaron tres hablantes de Mapudungun. Los movimientos de la lengua fueron registrados por Articulografía Electromagnética 3D y los datos fueron procesados con el software MATLAB y PRAAT. Fue posible describir la trayectoria de cada tercio de la lengua durante la producción de las vocales. Se observó que la sexta vocal /Ә/ tenía una apertura mínima de la mandíbula durante su pronunciación. Además, se corroboró la característica de /Ә/ como vocal central media no redondeada. En este estudio, la lengua de los hablantes de mapudungun estaba en una posición más posterior que la encontrada en otros estudios.

Acoustic and Auditory-Perceptual Evaluation as Predictor of Voice Recovery after Laryngeal Microsurgery in Patients with Vocal Polyp / 대한이비인후과학회지

BACKGROUND AND OBJECTIVES: The purpose of this study was to investigate acoustic (acoustic voice quality index, AVQI) and auditory-perceptual evaluation (grade, rough, breathy, asthenic, strained; GRBAS and consensus auditory-perceptual evaluation of voice; CAPE-V) as a predictor of voice recovery after laryngeal microsurgery (LMS) in patients with vocal polyp. SUBJECTS AND METHODS: A total of 68 patients with vocal polyp participated in this study. Voice samples were analyzed for AVQI by Praat and auditory-perceptual ratings were performed by three speech language pathologists. Voice handicap index-10 (VHI-10) was evaluated by patients themselves. RESULTS: Decreased AVQI, VHI-10, overall severity (OS), and increased smoothed cepstral peak prominence (CPPS) values were measured and statistically significant changes were noted after LMS. The ratio of Grade 0 and Grade 1 was increased. AVQI was correlated with CPPS, Grade, and OS, but not with VHI-10. The voice recovery of pedunculated polyp appeared in all vocal polyp sizes after LMS, but statistically significant differences were found only in small and medium sizes. After LMS of sessile polyps, AVQI, VHI-10, and OS decreased whereas CPPS increased; however, statistically significant difference was confirmed only in VHI-10 and OS. The receiver operating characteristic curve analysis showed the following results: AVQI [cutoff=5.5, sensitivity=61.8%, specificity=76.5%, area under the curve (AUC)=0.712], CPPS (cutoff=5.0, sensitivity=89.7%, specificity=48.5%, AUC=0.743), VHI-10 (cutoff=13.0, sensitivity=77.9%, specificity=89.7%, AUC=0.893), Grade (cutoff=2.0, sensitivity=70.6%, specificity=69.1%, AUC=0.728), and OS (cutoff=51.0, sensitivity=86.8%, specificity=66.2%, AUC=0.833). CONCLUSION: Acoustic and auditory-perceptual variables showed significant positive changes and predicted recovery of voice. In this study, we believe that the acoustic and auditory-perceptual evaluations.

Auditory-Perceptual and Acoustic Evaluation in Measuring Dysphonia Severity of Vocal Cord Paralysis

BACKGROUND AND OBJECTIVES: The purpose of this study was to investigate the criterion-related concurrent validity of two standardized auditory-perceptual assessments and the Acoustic Voice Quality Index (AVQI) for measuring dysphonia severity in patients with vocal cord paralysis (VCP). MATERIALS AND METHODS: Total 210 patients with VCP and 236 normal voice subjects were asked to sustain the vowel [a:] and to read aloud the Korean text “Walk”. A 2 second mid-vowel portion of the sustained vowel and two sentences (with 26 syllables) were recorded. And then voice samples were edited, concatenated, and analyzed according to Praat script. Two standardized auditory-perceptual assessment (GRBAS and CAPE-V) were performed by three raters. RESULTS: The VCP group showed higher AVQI, Grade (G) and Overall Severity (OS) values than normal voice group. And the correlation among AVQI, G, and OS ranged from 0.904 to 0.926. In ROC curve analysis, cutoff values of AVQI, G, and OS were < 3.79, < 0.00, and < 30.00, respectively, and the AUC of each analysis was over .89. CONCLUSION: AVQI and auditory evaluation can improve the early screening ability of VCP voice and help to establish effective diagnosis and treatment plan for VCP-related dysphonia.

Análisis acústico de la voz normal y patológica utilizando dos sistemas diferentes: ANAGRAF y PRAAT / Acoustic analysis of normal and pathological voices using two different systems: ANAGRAF and PRAAT

La necesidad de una evaluación instrumental y objetiva de la calidad de voz se refleja en el creciente número de métodos de análisis acústicos desarrollados para el diagnóstico clínico y la investigación. En el trabajo que se informa se realizaron análisis acústicos utilizando dos programas diferentes: PRAAT y ANAGRAF. Ambos sistemas son programas informáticos de uso común en Latinoamérica, en contextos clínicos y de investigación, para detectar y caracterizar el habla, la voz y los desórdenes vocales. El propósito fue comparar los resultados obtenidos con un conjunto de mediciones acústicas, muchas de las cuales se definen de manera similar en ambos programas y analizar si se puede distinguir clínicamente entre la normalidad y la patología en sus diferentes niveles de severidad. Un total de 776 muestras de voz correspondientes a 4 repeticiones de la vocal /a/ de 194 hablantes de español en Buenos Aires se midieron utilizando los parámetros disponibles como lo son: la frecuencia fundamental, jitter, shimmery harmonic-to-noise ratio. Los resultados muestran valores similares de frecuencia fundamental (F0) para ambos programas. Sin embargo, los valores de jitter, shimmery harmonic-to-noise ratio (HNR) fueron significativamente menores medidos con PRAAT y resultaron superiores utilizando ANAGRAF. La confiabilidad de los valores obtenidos con ambos programas se redujo significativamente con el aumento de las irregularidades en la señal. Por lo tanto, parece importante establecer normas para las voces normales y patológicas con el fin de guiar o dar un paso más en la validez y confiabilidad de las prácticas profesionales.

The need for instrumental objective assessment of voice quality is reflected in the increasing number of acoustic analysis methods developed for clinical diagnosis and as research outcome in the area. Acoustics measures of vocal productions received much attention in the literature and a variety of commercial packages are available. Those systems packages are presented as objective tools with apparently standardized, well-designed measurement protocols and acceptably low incidence of technical problems. The fact of using the same labels for similar measurement output like mean jitter or mean shimmer induce to think that results from different programs are comparable. However, there is no standardization of technique methodology and considerable variability is observed about which acoustic parameters must be measured. Furthermore, product documentation often makes it difficult to know how a particular system actually produces its measurements. Little formal information is available about the actual comparability of measures from different analysis packages. In this study, acoustic analysis was performed using two different programs: PRAAT and ANAGRAF. Both systems are computer programs commonly used in Latin America, in clinical and research to detect and characterize speech and voice disorders. PRAAT, was designed by Boersma and Weenink (2009) and ANAGRAF is a national software designed by Gurlekian (1997). The purpose of this work was to compare the results obtained by a set of acoustic parameters, many of which are defined similarly in both programs, and analyze whether it can distinguish clinically between normal and pathological voices within different severity levels. A total of 776 voice samples corresponding to 4 repetitions of the vowel /a/ of 194 speakers of Spanish in Buenos Aires were measured using the available parameters such as: the fundamental frequency, jitter, shimmer, and noise-to harmonic ratio. The Lilliefords Test, with a significance level of 5%, was used to verify the normal distribution of the results of each measurement. The parameters with normal distribution had their means compared to the standard measurements proposed by the program using the t test (significance level of 5%). General results separated by sex are reported. The findings of analyzed voice samples are showed by definitions for mean, standard deviation, and thresholds of normal for each parameter, which helps the clinician to immediately assess the findings for a particular patient. The test-retest reliability in each pair of measures was calculated. For both programs the results show similar values of fundamental frequency (F0). However, the values of jitter, shimmer and harmonic-to-noise ratio (HNR) were significantly lower measured by PRAAT, and higher using ANAGRAF in relation which the default results proposed by each system. The empirical evidence shows that if followed the default values and thresholds of each system, the diagnostic accuracy might be questioned by considering both cases as false positives or false negatives. Results demonstrate that the reliability of the values obtained by both programs was significantly reduced with the increase of irregularities in the signal. Parameters related with shimmer were more reliable than parameters related with jitter. For the normal data, r Pearson correlations ranged from .72 (ANAGRAF) to .87 (PRAAT) for measures of jitter, with lower correlations among measures of shimmer .27 (ANAGRAF) to .80 (PRAAT) and noise measures .55 (ANAGRAF) to .87 (PRAAT). The large differences found between the measurements from the systems imply that the accuracy of the measurements are questionable, especially for severely pathological samples. Therefore, it seems important to establish normal and pathological voice standards norms for Spanish in Buenos Aires to take a step in the validity and reliability of the professional practices. Future research be aimed at establishing differences between vowels in addition to sex and system used.