Home Print this page Email this page Small font sizeDefault font sizeIncrease font size
Users Online: 226 | Search articles
Home | About us | Editorial board | Search | Ahead of print | Current issue | Archives | Submit article | Instructions | SubscribeLogin 
Year : 2013  |  Volume : 3  |  Issue : 2  |  Page : 46-51

Quantitative analysis of pathological female human voice by processing complete sentences recordings

1 Department of Paediatric Rehabilitation, IRCCS San Raffaele Pisana, Rome, Italy
2 Department of Paediatric Rehabilitation, IRCCS San Raffaele Pisana, Rome; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy

Correspondence Address:
Andrea Ancillao
IRCCS San Raffaele Pisana, Via della Pisana 235, 00163, Rome
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2230-9748.132045

Rights and Permissions

Objectives: The aim of this work was to determine, by computing quantitative parameters over the recording of complete spoken sentences, female human voices obtained from dysphonic individuals. Healthy subjects were also recruited to compute reference values. Materials and Methods: In this study, a total of 15 female subjects who were diagnosed with dysphonia were enrolled. Age matched female controls were also enrolled. Each subject was asked to read aloud a text composed of three sentences. The subjects were all Italian native speakers and the sentences were written in Italian.Voice was digitally recorded and each sentence was processed by Praat software in order to compute frequency parameters (Pitch, Jitter, Shimmer) and harmonic to noise ratio. Parameters were then compared within the sentences spoken by the same subject and between pathological and control group. Results: The parameters resulted similar among the three sentences read by the same subject, while there were statistically significant differences between the pathological group and the control group. Conclusion: The quantitative analysis of voice, run over complete sentences, is therefore able to characterize pathological subjects and provides useful information that may support the diagnosis of dysphonia.Processing voices from a control group allowed also to develop reference data for female human voice. The found values can be assumed as representative of the normal female voice and may be used as reference data for other studies on pathological voices.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded115    
    Comments [Add]    

Recommend this journal