Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Acoustic analysis of voice signal: Comparison of four applications software
Publication

Publications

Acoustic analysis of voice signal: Comparison of four applications software

Title
Acoustic analysis of voice signal: Comparison of four applications software
Type
Article in International Scientific Journal
Year
2018
Authors
Susana Vaz Freitas
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Pedro Melo Pestana
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Vítor Almeida
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 40
Pages: 318-323
ISSN: 1746-8094
Publisher: Elsevier
Other information
Authenticus ID: P-00N-4T9
Abstract (EN): Objectives: To describe the results of the acoustic analysis of a database of 90 voice samples with distinct dysphonia levels, using four different - commercial and open source - software programs. Study design: Exploratory, transversal. Methods: The samples were analyzed by four different types of software programs that perform acoustical evaluation - one open source software (Praat) and three commercial ones (Multi Dimensional Voice Program - MDVP by Kay Elemetrics; VoiceStudio by Seegnal; and Dr. Speech by Tiger Electronics) - for comparison among the most commonly used acoustic measures (frequency, perturbation and noise measures). Results: There is a moderate to strong,correlation, positive and statistically significant among the software programs. The mean FO is not statistically different among the used applications. The other acoustic measures revealed statistically significant differences. Conclusion: Even though it is easier to access software programs and there are numerous proposals for acoustic measures, not all of them are statistically representative nor have numeric semblance among the different applications.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

Time domain baroreflex sensitivity assessment by joint analysis of spontaneous SBP and RR series (2009)
Article in International Scientific Journal
Sonia Gouveia; Ana Paula Rocha; Pablo Laguna; Pedro Lago
The harmonic and noise information of the glottal pulses in speech (2014)
Article in International Scientific Journal
Ricardo Sousa; Aníbal Ferreira; Alku, P
Novel approach for fetal heart rate classification introducing grammatical evolution (2007)
Article in International Scientific Journal
Georgoulas, G; Gavrilis, D; Tsoulosc, IG; Stylios, C; Joao Bernardes; Groumpos, PP
Human knee abnormality detection from imbalanced sEMG data (2021)
Article in International Scientific Journal
Ankit Vijayvargiya; Chandra Prakash; Rajesh Kumar; Sanjeev Bansal; João Manuel R. S. Tavares
Experimental low cost reflective type oximeter for wearable health systems (2017)
Article in International Scientific Journal
Rodrigues, EMG; Godina, R; Cabrita, CMP; Catalao, JPS

See all (8)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-25 at 11:05:13 | Privacy Policy | Personal Data Protection Policy | Whistleblowing