Acoustic Voice Analysis Using the Praat programme: Comparative Study With the Dr. Speech Programme

Batalla, Faustino Núñez; Márquez, Rocío González; González, Marina; Laborda, Irene González; Fernandez, M.; Galán, Marta Morato

doi:10.1016/j.otoeng.2014.05.007

Cited by 15 publications

(11 citation statements)

References 10 publications

(8 reference statements)

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“…Today, it is possible to establish the voice quality and to be able to quantify the extent of dysphonia if present as clinical test with the use of voice analysis methods becoming widespread. 1 The aim of the study is to analyze the voice changes occurring during a hemodialysis session objectively and to investigate the correlation between the obtained variables and the other variables of the patients, ultrafiltration performed during dialysis and post-dialysis body weights being in the first place.…”

Section: Introductionmentioning

confidence: 99%

Objective analysis of voice changes in a hemodialysis session and its correlation with ultrafiltration

Ünver

Hardal

Esertas³

et al. 2014

Renal Failure

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Introduction: The aim of the study is to analyze the voice changes occurring during a hemodialysis session objectively and to investigate the statistical correlation between voice changes and ultrafiltration, blood pressure, dry weight and the other variables of the patients. Materials and methods: A total of 169 patients were included in the study. Electronic voice recordings of the patients were performed with the aim of making objective voice analysis before and after dialysis. Fundamental frequency measurements occurring at the level of the larynx (Fo) and harmonic-to-noise ratio (HNR) were measured from these voice recordings. Results: When the voice recordings obtained from 169 hemodialysis patients before and after dialysis were investigated, it was observed that a significant increase occurred in the Fo (from 164.52 ± 43.36 Hz to 193.19 ± 47.08 Hz, p50.01). When the change in HNR was investigated, a significant reduction was determined in the post-dialysis measurements (4.6 ± 3.23 dB) compared to the pre-dialysis measurements (16.10 ± 4.06 dB, p50.01). Mean 2.49 ± 0.83 L of ultrafiltration was performed and a significant reduction was observed in post-session body weights of the patients (p5 0.01). There was a highly statistical significance between the measurements of post-dialysis Fo and post-dialysis body weights. A highly significant correlation was determined between the amount of ultrafiltration performed and a significant increase observed in Fo before and after dialysis. Also a significant correlation was determined between the reduction in the mean post-session blood pressures and the reduction in the HNRs. Conclusion: Objective voice analysis is suggesting that it can be a simple and applicable method that can be used to determine the dry weight.

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Section: Introductionmentioning

confidence: 99%

Objective analysis of voice changes in a hemodialysis session and its correlation with ultrafiltration

Ünver

Hardal

Esertas³

et al. 2014

Renal Failure

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“…Different automatic systems based on machine learning and data mining techniques have been developed for vocal signals analysis [15] and several software tools are available and consolidated in clinical practice. In comparative studies, the free software Praat 1 and the commercial Dr.Speech 2 provide similar results in pathological voices analysis [11]. The usefulness of WPCVox 3 classification of normal and pathological voices is demonstrated comparing its measurement to those obtained using the classical MDVP 4 [5].…”

Section: Related Workmentioning

confidence: 89%

A system for ubiquitous distributed acquisition of voice alteration samples through a mobile application

Cinaglia

Macrí

Calabrese

et al. 2014

Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

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Dysphonia, caused by irregular vocal folds vibration, is one of the major symptoms of benign laryngeal diseases and other organic and functional pathologies. The paper presents a cloud-based system for remote analysis of vocal samples submitted by patient through his smartphone using a mobile application which acquires, preprocesses and adds metadata. The system provides a first-level information on possible voice alterations and, if necessary, suggests doing an accurate voice control by a specialist.

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“…Speech ve praat programlarını kullanarak yapmış oldukları karşılaştırmada frekans perturbationunda zayıf-orta derecede korelasyon amplitüd perturbationunda orta-güçlü korelasyon izlemişlerdir. 15 Bizim çalışmamızda da literatüre uyumlu olarak Dr Speech ve Praat programları arasındaki korelasyon temel frekans da dahil olmak üzere paremetreler arasındaki korelasyon diğer programlar göre düşük izlenmiştir. Kılıç ve ark.…”

Section: Discussionunclassified

Comparing Voice Frequency and Perturbation Parameters Using Different Analysis Programs

Sarıca¹,

Bilal²,

Oğuzhan³

et al. 2017

KBB ve BBC Dergisi

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ÖZETAmaç: Bu çalışmada sekiz farklı ses sistemi kullanılarak frekans ve perturbation paremetrelerini ölçmek ve programları karşılaştırmak amaçlanmıştır. Gereç ve Yön-temler: Ses hastalıkları polikliniğimize Ocak 2011 ile Aralık 2011 tarihleri arasında başvuran 131 hasta ve 36 sağlıklı gönüllü çalışmamıza dahil edildi. Arşivde yer alan bu hastalara ait uzun [a] sesleri (2 ya da 3 s'lik); MDVP, Dr Speech Vocal Assesment, Praat, LingWAVES, Voxmetria, TF32, Chaos Data Analyzer ve SpeechTool programları kullanılarak analizleri yapıldı. Ayrıca LingWAVES yazılımının Vospector modülü ve Dr Speech Vocal Assesment programlarından yararlanılarak algısal analizleri yapıldı. Çalışmada kullandığımız sekiz analiz programı ile toplam 58 aynı ve farklı gruplarda yer alan parametrelerin kendi aralarındaki korelasyon değerleri ölçüldü. Bulgular: Çalışma ve kontrol grubunun ses kayıtlarının 8 ayrı programda yapılan analizleri ile ölçülen temel frekans (F0) da MDVP ile Praat ve Dr Speech programları arasında çok güçlü korelasyon (r>0,93), Frekans pertürbation parametrelerinde WoxMetria, LingWAVES, MDVP ve Praat programları arasında çok iyi korelasyon (r>0,79), Amplitüd perturbation paremetrelerinde MDVP ile Praat, TF32 ve VoxMetria progrmları arasında çok iyi korelasyon (r>83) izlendi. Çalışmamızda afonik, ileri derecede bozuk sesleri dahil edilmediği için kaotik analiz parametreler ile diğer parametreler arasında çok iyi uyum sağlanmadı. Sonuç: Ses analizlerinde kayıt için kullanılan yazılım ve donanımın farklı olması ölçülen sonuçların farklı çıkmasında önemli bir etkendir. Standart bir donanım ve yazılım kullanılarak kaydedilen ses üzerinde ölçüm yaparak bu sakınca ortadan kaldırılmış, programlar arasındaki farklılık ön plana çıkarılmıştır. Praat programının hasta ve kontrol bireylerdeki analiz sonuçlarının en sık kullanılan ses analiz programları ile olan yüksek korelasyon ilişkisi, programının ücretsiz oluşu ve betik dile sahip olması diğer programlara göre avantaj olarak görülmüştür. Anahtar SözcüklerAkustik; ses analizi; korelasyon; praat; temel frekans; jitter; shimmer, pertürbation; paremetre ABSTRACT Objective: The Aim of this study is compare the frequency and perturbation parameters of 8 different sound analysis systems. Material and Methods: One hundred thirty two patients referred to our voice clinic and 36 healthy volunteers between January 2011 to December 2011, were enrolled. The archived long (2 seconds) [a] vowels were analyzed by MDVP, DrSpeech, Praat, LingWAVES, VoxMetria, TF32, Chaos Analyzer and SpeechTool programs. Eight analysis programs used and total 58 parameters were measured. Correlation between the values and parameters were calculated. Result: The fundamental frequency (F0) measured by the analyzes of the sound recordings of the study and control groups in different programs showed a very strong correlation between MDVP and Praat and Dr Speech programs (r>0.93), There were very good correlation (r>0.79) observed in the MDVP, Praat, VoxMetria and LingWAVES in the comparison of frequency perturbation pa...

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Acoustic Voice Analysis Using the Praat programme: Comparative Study With the Dr. Speech Programme

Cited by 15 publications

References 10 publications

Objective analysis of voice changes in a hemodialysis session and its correlation with ultrafiltration

Objective analysis of voice changes in a hemodialysis session and its correlation with ultrafiltration

A system for ubiquitous distributed acquisition of voice alteration samples through a mobile application

Comparing Voice Frequency and Perturbation Parameters Using Different Analysis Programs

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