Perceptual analysis of the musical expressive intention in a clarinet performance

1997 ◽  
pp. 441-450 ◽  
Author(s):  
Sergio Canazza ◽  
Giovanni De Poli ◽  
Alvise Vidolin
Keyword(s):  
Perceptual Analysis ◽  
Clarinet Performance

“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis

2011 ◽  
Vol 21 (2) ◽  
pp. 44-54
Author(s):  
Kerry Callahan Mandulak
Keyword(s):  
Speech Production ◽  
Speech Signal ◽  
Clinical Utility ◽  
Acoustic Analysis ◽  
Moment Analysis ◽  
Analysis Tool ◽  
Spectral Moment ◽  
Clinical Measure ◽  
Perceptual Analysis ◽  
Disordered Speech

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.

Perceptual Analysis of Vibrotactile Flows on a Mobile Device

2013 ◽  
Vol 6 (4) ◽  
pp. 522-527 ◽  
Author(s):  
Jongman Seo ◽  
Seungmoon Choi
Keyword(s):  
Mobile Device ◽  
Perceptual Analysis

scholarly journals The Parietal Cortex in Sensemaking: The Dissociation of Multiple Types of Spatial Information

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Yanlong Sun ◽  
Hongbin Wang
Keyword(s):  
Parietal Cortex ◽  
Spatial Information ◽  
Mathematical Thinking ◽  
Hierarchical Organization ◽  
Levels Of Abstraction ◽  
Perceptual Analysis ◽  
Different Types ◽  
Sensemaking Process ◽  
Network Simulations ◽  
Different Levels

According to the data-frame theory, sensemaking is a macrocognitive process in which people try to make sense of or explain their observations by processing a number of explanatory structures called frames until the observations and frames become congruent. During the sensemaking process, the parietal cortex has been implicated in various cognitive tasks for the functions related to spatial and temporal information processing, mathematical thinking, and spatial attention. In particular, the parietal cortex plays important roles by extracting multiple representations of magnitudes at the early stages of perceptual analysis. By a series of neural network simulations, we demonstrate that the dissociation of different types of spatial information can start early with a rather similar structure (i.e., sensitivity on a common metric), but accurate representations require specific goal-directed top-down controls due to the interference in selective attention. Our results suggest that the roles of the parietal cortex rely on the hierarchical organization of multiple spatial representations and their interactions. The dissociation and interference between different types of spatial information are essentially the result of the competition at different levels of abstraction.

PERCEPTUAL ANALYSIS OF THE INITIAL STEP IN FILM READING

1976 ◽  
Vol 11 (5) ◽  
pp. 388
Author(s):  
Harold L. Kundel ◽  
Calvin F. Nodine
Keyword(s):  
Initial Step ◽  
Perceptual Analysis ◽  
Film Reading

scholarly journals Impact of levodopa treatment in the voice pattern of Parkinson’s disease patients: a systematic review and meta-analysis

CoDAS ◽  
2018 ◽  
Vol 30 (5) ◽  
Author(s):  
Patrícia Pinho ◽  
Larissa Monteiro ◽  
Maria Francisca de Paula Soares ◽  
Lorena Tourinho ◽  
Ailton Melo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Acoustic Analysis ◽  
Meta Analysis ◽  
Speech Disorders ◽  
Levodopa Therapy ◽  
Eligibility Criteria ◽  
Perceptual Analysis ◽  
Vocal Intensity

Abstract Purpose Investigate the association between levodopa therapy and vocal characteristics in Parkinson’s disease patients. Search strategy Studies published at MEDLINE, LILACS, and SciELO, from 1960 to December 2016. A systematic review and meta-analysis was performed using the following keywords: Parkinson’s disease; levodopa; L-dopa; voice; speech disorders; dysphonia; dysarthria. After analyzing titles and abstracts, two independent reviewers selected all clinical trials that met the eligibility criteria and selected the articles and the data recorded in a previously standardized table. Selection criteria Trials published in English between 1960 and December 2016 individuals with clinical diagnosis of Parkinson’s disease; use of levodopa therapy in stable doses; acoustic analysis combined or not with auditory-perceptual analysis to evaluate the vocal parameters under investigation. Data analysis The following vocal parameters were analyzed: fundamental frequency (F 0), jitter, and vocal intensity. Standardized mean differences (SMD) were calculated using the Comprehensive Meta-analysis V2 software. Results Nine articles met the eligibility criteria and were selected, with a total of 119 individuals. From these, six articles with 83 individuals were included in the meta-analysis. During the levodopa therapy “on” state, modifications in F 0 (SMD=0.39; 95% CI - 0.21-0.57) and jitter (SMD=0.23; 95% CI - 0.02-0.45) were observed. Vocal intensity was not affected (SMD=0.09; 95% CI - 0.22-0.39) by levodopa ingestion. Data of the included studies were controversial in the auditory-perceptual analysis of voice. Conclusion Levodopa therapy modifies F0 and jitter. No changes in vocal intensity were observed in either the “on” or “off” states of levodopa therapy.

The Interaction of Ambient Frequency and Feature Complexity in the Diphthong Errors of Children With Phonological Disorders

2002 ◽  
Vol 45 (6) ◽  
pp. 1188-1201 ◽  
Author(s):  
Stephanie F. Stokes ◽  
Jessica Tse-Kay Lau ◽  
Valter Ciocca
Keyword(s):  
Treatment Guidelines ◽  
Speech Disorders ◽  
Perceptual Analysis ◽  
Error Patterns ◽  
Phonological Disorders ◽  
Frequency Feature

This study examined the interaction of ambient frequency and feature complexity in the diphthong errors produced by Cantonese-speaking children with phonological disorders. A total of 611 diphthongs produced by 13 Cantonese-speaking children with speech disorders were subjected to perceptual analysis. The percentage accuracy of production and error patterns was examined. Perceptual analysis showed that /i/ and /ui/ were most frequently in error, whereas /ei/, /ou/, and /u/ were least frequently in error. Diphthong errors (usually diphthong reduction) arise as a function of both ambient frequency and feature complexity. The combination of ambient frequency and feature complexity yields a complexity metric reflecting accuracy of production. Treatment guidelines include consideration of three basic factors: ambient frequency, feature complexity, and error patterns.

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