scholarly journals Pitch Range and Voice Quality in Dimasa Focus Intonation

Languages ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 185
Author(s):  
Shakuntala Mahanta ◽  
Amalesh Gope ◽  
Priti Raychoudhury
Keyword(s):  
Acoustic Analysis ◽  
Voice Quality ◽  
Acoustic Property ◽  
Pitch Range ◽  
Narrow Focus

This paper presents an analysis of Dimasa focus intonation. The acoustic analysis shows that narrow focus sentences undergo a jump in the pitch range irrespective of the underlying tonal value of the morpheme it attaches to. In addition to f0 expansion, the prosodic property of focus in Dimasa was found to have different (tense) phonation in morphologically marked narrow focus sentences when compared to the broad focus context. Thus, the tense phonation property of sentences bearing morphological focus is not only an acoustic property of a higher pitch range but may also be an acoustic cue of discourse-level intonation.

Acoustic Analysis of Voice Quality in Iron Maiden’s Songs

2018 ◽  
Author(s):  
Alexsandro Meireles ◽  
Beatriz Raposo de Medeiros
Keyword(s):  
Acoustic Analysis ◽  
Voice Quality

Voice quality as a pitch-range indicator

2016 ◽  
Author(s):  
Jianjing Kuang ◽  
Yixuan Guo ◽  
Mark Liberman
Keyword(s):  
Voice Quality ◽  
Pitch Range ◽  
Range Indicator

Measuring Vocal Fatigue in Sports Coaches

2017 ◽  
Vol 23 (1) ◽  
pp. 1-20
Author(s):  
Kathy Connaughton ◽  
Irena Yanushevskaya
Keyword(s):  
Acoustic Analysis ◽  
Voice Quality ◽  
Professional Sports ◽  
Muscle Adaptation ◽  
Voice Change ◽  
Acoustic Measures ◽  
Perceptual Evaluation ◽  
Coaching Session ◽  
Sports Coaches ◽  
Voice Use

Objective: This study explores the immediate impact of prolonged voice use by professional sports coaches. Method: Speech samples including sustained phonation of vowel /a/ and a short read passage were collected from two professional sports coaches. The audio recordings were made within an hour before and after a coaching session, over three sessions. Perceptual evaluation of voice quality was done using the GRBAS scale. The speech samples were subsequently analyzed using Praat. The acoustic measures included fundamental frequency (f0), jitter, shimmer, Harmonics-to-Noise ratio and Cepstral Peak Prominence. Main results: The results of perceptual and acoustic analysis suggest a slight shift towards a tenser phonation post-coaching session, which is a likely consequence of laryngeal muscle adaptation to prolonged voice use. This tendency was similar in sustained vowels and connected speech. Conclusion: Acoustic measures used in this study can be useful to capture the voice change post-coaching session. It is desirable, however, that more sophisticated and robust and at the same time intuitive and easy-to-use tools for voice assessment and monitoring be made available to clinicians and professional voice users.

Regression-Based Noise Modeling for Speech Signal Processing

2021 ◽  
pp. 2150022
Author(s):  
Caio Cesar Enside de Abreu ◽  
Marco Aparecido Queiroz Duarte ◽  
Bruno Rodrigues de Oliveira ◽  
Jozue Vieira Filho ◽  
Francisco Villarreal
Keyword(s):  
Speech Enhancement ◽  
Speech Processing ◽  
Acoustic Analysis ◽  
Voice Quality ◽  
Wiener Filter ◽  
Processing System ◽  
Speech Quality ◽  
Speech Signals ◽  
Speech Signal Processing ◽  
Acoustic Environment

Speech processing systems are very important in different applications involving speech and voice quality such as automatic speech recognition, forensic phonetics and speech enhancement, among others. In most of them, the acoustic environmental noise is added to the original signal, decreasing the signal-to-noise ratio (SNR) and the speech quality by consequence. Therefore, estimating noise is one of the most important steps in speech processing whether to reduce it before processing or to design robust algorithms. In this paper, a new approach to estimate noise from speech signals is presented and its effectiveness is tested in the speech enhancement context. For this purpose, partial least squares (PLS) regression is used to model the acoustic environment (AE) and a Wiener filter based on a priori SNR estimation is implemented to evaluate the proposed approach. Six noise types are used to create seven acoustically modeled noises. The basic idea is to consider the AE model to identify the noise type and estimate its power to be used in a speech processing system. Speech signals processed using the proposed method and classical noise estimators are evaluated through objective measures. Results show that the proposed method produces better speech quality than state-of-the-art noise estimators, enabling it to be used in real-time applications in the field of robotic, telecommunications and acoustic analysis.

Conversion from a non-indwelling to a Provox®2 indwelling voice prosthesis for speech rehabilitation: comparison of voice quality and patient preference

2003 ◽  
Vol 117 (10) ◽  
pp. 815-820 ◽  
Author(s):  
A. C. Vlantis ◽  
R. T. Gregor ◽  
H. Elliot ◽  
M. Oudes
Keyword(s):  
Patient Satisfaction ◽  
Prospective Study ◽  
Patient Preference ◽  
Acoustic Analysis ◽  
Voice Quality ◽  
Voice Prosthesis ◽  
Technical Aspects ◽  
Speech Rehabilitation ◽  
Perceptual Difference ◽  
The Voice

This prospective study assessed the advantages and problems associated with converting a patient using an older generation non-indwelling voice prosthesis to a newer generation indwelling voice prosthesis, in this case the Provox®2. The voice characteristics of each patient were measured using the old and then the new voice prosthesis. Technical aspects of the insertion of the indwelling prosthesis were noted. Each patient completed a questionnaire after a period of use with the indwelling prosthesis.Changing the prosthesis was simple and uncomplicated in 15 of 17 patients. Acoustic analysis showed improved parameters with the indwelling prosthesis, but no perceptual difference between the two prostheses. The questionnaire revealed that most patients preferred the indwelling prosthesis.Replacing a non-indwelling with an indwelling prosthesis is technically simple, leading to improvement in voice quality and patient satisfaction. It may be reasonable to offer this choice to patients currently using an older generation non-indwelling voice prosthesis.

scholarly journals Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis

2018 ◽  
Author(s):  
Raquel Norel ◽  
Mary Pietrowicz ◽  
Carla Agurto ◽  
Shay Rishoni ◽  
Guillermo Cecchi
Keyword(s):  
Disease Progression ◽  
Acoustic Analysis ◽  
Voice Quality ◽  
Non Invasive ◽  
Frequent Monitoring ◽  
In The Wild ◽  
A Cell ◽  
Speech Features ◽  
Severity Of The Disease ◽  
Lateral Sclerosis

ABSTRACTALS is a fatal neurodegenerative disease with no cure. Experts typically measure disease progression via the ALSFRS-R score, which includes measurements of various abilities known to decline. We propose instead the use of speech analysis as a proxy for ALS progression. This technique enables 1) frequent non-invasive, inexpensive, longitudinal analysis, 2) analysis of data recorded in the wild, and 3) creation of an extensive ALS databank for future analysis. Patients and trained medical professionals need not be co-located, enabling more frequent monitoring of more patients from the convenience of their own homes. The goals of this study are the identification of acoustic speech features in naturalistic contexts which characterize disease progression and development of machine models which can recognize the presence and severity of the disease. We evaluated subjects from the Prize4Life Israel dataset, using a variety of frequency, spectral, and voice quality features. The dataset was generated using the ALS Mobile Analyzer, a cell-phone app that collects data regarding disease progress using a self-reported ALSFRS-R questionnaire and several active tasks that measure speech and motor skills. Classification via leave-five-subjects-out cross-validation resulted in an accuracy rate of 79% (61% chance) for males and 83% (52% chance) for females.

scholarly journals Using Innovative Acoustic Analysis to Predict the Postoperative Outcomes of Unilateral Vocal Fold Paralysis

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Yung-An Tsou ◽  
Yi-Wen Liu ◽  
Wen-Dien Chang ◽  
Wei-Chen Chen ◽  
Hsiang-Chun Ke ◽  
...  
Keyword(s):  
Vocal Fold ◽  
Linear Prediction ◽  
Acoustic Analysis ◽  
Characteristic Curve ◽  
Voice Quality ◽  
Treatment Strategies ◽  
Vocal Fold Paralysis ◽  
Unilateral Vocal Fold Paralysis ◽  
Outcome Predictor ◽  
Laryngeal Framework Surgery

Objective.Autologous fat injection laryngoplasty is ineffective for some patients with iatrogenic vocal fold paralysis, and additional laryngeal framework surgery is often required. An acoustically measurable outcome predictor for lipoinjection laryngoplasty would assist phonosurgeons in formulating treatment strategies.Methods.Seventeen thyroid surgery patients with unilateral vocal fold paralysis participated in this study. All subjects underwent lipoinjection laryngoplasty to treat postsurgery vocal hoarseness. After treatment, patients were assigned to success and failure groups on the basis of voice improvement. Linear prediction analysis was used to construct a new voice quality indicator, the number of irregular peaks (NIrrP). It compared with the measures used in the Multi-Dimensional Voice Program (MDVP), such as jitter (frequency perturbation) and shimmer (perturbation of amplitude).Results.By comparing the [i] vowel produced by patients before the lipoinjection laryngoplasty (AUC = 0.98, 95% CI = 0.78–0.99), NIrrP was shown to be a more accurate predictor of long-term surgical outcomes than jitter (AUC = 0.73, 95% CI = 0.47–0.91) and shimmer (AUC = 0.63, 95% CI = 0.37–0.85), as identified by the receiver operating characteristic curve.Conclusions.NIrrP measured using the LP model could be a more accurate outcome predictor than the parameters used in the MDVP.

scholarly journals Akustičke značajke vokalnoga zamora

2017 ◽  
Vol 53 (1) ◽  
pp. 35-58
Author(s):  
Gordana Kovačić ◽  
Emica Farago
Keyword(s):  
Acoustic Analysis ◽  
Voice Quality ◽  
Harmonic Spectrum ◽  
Mean Value ◽  
Spectral Energy ◽  
Energy Bands ◽  
Vocal Fatigue ◽  
Fatigue Syndrome ◽  
Three Samples ◽  
Vocal Professionals

Vocal fatigue is characterized by self-perceived increased laryngeal strain and voice quality changes. The condition can have organic or/and functional causes. Typically, it affects vocal professionals, and teachers are most numerous among them. Despite great number of studies, many questions about vocal fatigue such as its acoustic characterstics are still open. The hypothesis of the present study conducted on female teachers was that there are significant differences in acoustic variables between vocally fatigued teachers (N=23) and teachers without it (N=27). Running speech and prolonged phonation of the vowel /a/ were analyzed in PRAAT software calculating the long-term average speech spectrum LTASS and harmonic spectrum. The average speech F0 and series of spectral variables were calculated: the strength of the strongest spectral peak L0, the α ratio of the level difference above and bellow 1 kHz for the 0-5 kHz range analyzed, and the variables Δ1, Δ2, Δ3 and Δ4 showing the ratios of the respective spectral energy bands of 1-2 kHz, 2-3 kHz, 3-4 kHz and 4-5 kHz relative to the 0-1 kHz reference. The average H1/H2 ratio based on harmonic spectrum of three samples of the prolonged vowel /a/ production was calculated as well. The hypothesis was tested by multivariate and univariate analyzes of variance and discriminant analysis. The results showed that there are no significant differences in the set of acoustic variables between the two teacher groups, thus the hypothesis was rejected. However, the average speech F0 showed to be strong single discriminator. Its mean value in the group of teachers with vocal fatigue, that is 176 Hz, suggests dysfunction. Several factors may explain the absence of acoustic differences between the two groups, one of the most compelling of which is the fact that both groups reported similar numbers of subjective vocal and physical complaints. The results confirm the complex phenomenology of vocal fatigue syndrome, and suggest that acoustic analysis may have limited power to detect it.

scholarly journals Intonational Patterns of Nonverbal Vocalizations in People With Dementia

2011 ◽  
Vol 26 (7) ◽  
pp. 563-572 ◽  
Author(s):  
Christina Samuelsson ◽  
Lars C. Hydén
Keyword(s):  
Disruptive Behavior ◽  
Fundamental Frequency ◽  
Acoustic Analysis ◽  
The Other ◽  
Clinical Settings ◽  
Pitch Range ◽  
Interactional Pattern ◽  
People With Dementia ◽  
Nonverbal Vocalizations ◽  
The Mean

Nonverbal vocalizations in dementia are important clinically since they generally have been regarded as disruptive behavior that is disturbing. The aim of the present study is to describe the interactional pattern, including the prosodic package, of nonverbal vocalizations in a participant in a late stage of dementia. The acoustic analysis shows that the vocalizations do not differ significantly from the verbal utterances regarding mean fundamental frequency or pitch range. The mean fundamental frequency, F0, of the utterances from Anna was significantly higher than the mean F0 from the other elderly participants. The analysis demonstrates that there is a singing-like type of vocalizations that does not resemble the previously described patterns of nonverbal vocalizations. This pattern of the nonverbal vocalization does not resemble the intonation of Anna’s verbal utterances. The other participants perceive Anna’s vocalizations as potentially meaningful turns. Nonverbal vocalizations in clinical settings should be taken as communicative contributions.

Sign in / Sign up

Export Citation Format

Share Document