Automatic Posture Evaluation for Professional Voice Users

Cagatay Demirel; Hasan Can Aydan; Ismail Kocak; Gökhan İnce

doi:10.1109/UBMK.2018.8566520

Automatic Posture Evaluation for Professional Voice Users

Cagatay Demirel, Hasan Can Aydan, Ismail Kocak, Gökhan İnce

Bilgisayar Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

Voice trainings are executed mostly by therapists to their knowledge, experiences and skills. In these therapies, tension spots of a body are evaluated. A body is relieved with guidance of a therapist and physical exercises. However, voice quality evaluation of professional voice users are implemented subjectively. Classical voice evaluations can not be done by an objective approach, yet done with therapists' intuition. In this study, a measurement system was proposed to evaluate voice quality objectively by using the posture of a patient. Different machine learning algorithms were used to classify objective voice quality and posture quality, yet Artificial Neural Network models were found as best classifiers. Two models were tested using individual test sets and accuracies of voice quality and posture quality estimations were found to be 83.35% and 78.27%.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	UBMK 2018 - 3rd International Conference on Computer Science and Engineering
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	318-323
Sayfa sayısı	6
ISBN (Elektronik)	9781538678930
DOI'lar	https://doi.org/10.1109/UBMK.2018.8566520
Yayın durumu	Yayınlandı - 6 Ara 2018
Etkinlik	3rd International Conference on Computer Science and Engineering, UBMK 2018 - Sarajevo, Bosnia and Herzegovina Süre: 20 Eyl 2018 → 23 Eyl 2018

Yayın serisi

Adı	UBMK 2018 - 3rd International Conference on Computer Science and Engineering

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	3rd International Conference on Computer Science and Engineering, UBMK 2018
Ülke/Bölge	Bosnia and Herzegovina
Şehir	Sarajevo
Periyot	20/09/18 → 23/09/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Belgeye Erişim

10.1109/UBMK.2018.8566520

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Demirel, C., Aydan, H. C., Kocak, I., & İnce, G. (2018). Automatic Posture Evaluation for Professional Voice Users. In UBMK 2018 - 3rd International Conference on Computer Science and Engineering (pp. 318-323). Makale 8566520 (UBMK 2018 - 3rd International Conference on Computer Science and Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK.2018.8566520

@inproceedings{fe071f881a3149ecb876de6cc185b4d6,

title = "Automatic Posture Evaluation for Professional Voice Users",

abstract = "Voice trainings are executed mostly by therapists to their knowledge, experiences and skills. In these therapies, tension spots of a body are evaluated. A body is relieved with guidance of a therapist and physical exercises. However, voice quality evaluation of professional voice users are implemented subjectively. Classical voice evaluations can not be done by an objective approach, yet done with therapists' intuition. In this study, a measurement system was proposed to evaluate voice quality objectively by using the posture of a patient. Different machine learning algorithms were used to classify objective voice quality and posture quality, yet Artificial Neural Network models were found as best classifiers. Two models were tested using individual test sets and accuracies of voice quality and posture quality estimations were found to be 83.35% and 78.27%.",

keywords = "artificial neural network, feature extraction, posture evaluation, Signal processing, voice quality",

author = "Cagatay Demirel and Aydan, {Hasan Can} and Ismail Kocak and G{\"o}khan İnce",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd International Conference on Computer Science and Engineering, UBMK 2018 ; Conference date: 20-09-2018 Through 23-09-2018",

year = "2018",

month = dec,

day = "6",

doi = "10.1109/UBMK.2018.8566520",

language = "English",

series = "UBMK 2018 - 3rd International Conference on Computer Science and Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "UBMK 2018 - 3rd International Conference on Computer Science and Engineering",

address = "United States",

}

Demirel, C, Aydan, HC, Kocak, I & İnce, G 2018, Automatic Posture Evaluation for Professional Voice Users. in UBMK 2018 - 3rd International Conference on Computer Science and Engineering., 8566520, UBMK 2018 - 3rd International Conference on Computer Science and Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 318-323, 3rd International Conference on Computer Science and Engineering, UBMK 2018, Sarajevo, Bosnia and Herzegovina, 20/09/18. https://doi.org/10.1109/UBMK.2018.8566520

Automatic Posture Evaluation for Professional Voice Users. / Demirel, Cagatay; Aydan, Hasan Can; Kocak, Ismail et al.
UBMK 2018 - 3rd International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc., 2018. p. 318-323 8566520 (UBMK 2018 - 3rd International Conference on Computer Science and Engineering).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Automatic Posture Evaluation for Professional Voice Users

AU - Demirel, Cagatay

AU - Aydan, Hasan Can

AU - Kocak, Ismail

AU - İnce, Gökhan

PY - 2018/12/6

Y1 - 2018/12/6

N2 - Voice trainings are executed mostly by therapists to their knowledge, experiences and skills. In these therapies, tension spots of a body are evaluated. A body is relieved with guidance of a therapist and physical exercises. However, voice quality evaluation of professional voice users are implemented subjectively. Classical voice evaluations can not be done by an objective approach, yet done with therapists' intuition. In this study, a measurement system was proposed to evaluate voice quality objectively by using the posture of a patient. Different machine learning algorithms were used to classify objective voice quality and posture quality, yet Artificial Neural Network models were found as best classifiers. Two models were tested using individual test sets and accuracies of voice quality and posture quality estimations were found to be 83.35% and 78.27%.

AB - Voice trainings are executed mostly by therapists to their knowledge, experiences and skills. In these therapies, tension spots of a body are evaluated. A body is relieved with guidance of a therapist and physical exercises. However, voice quality evaluation of professional voice users are implemented subjectively. Classical voice evaluations can not be done by an objective approach, yet done with therapists' intuition. In this study, a measurement system was proposed to evaluate voice quality objectively by using the posture of a patient. Different machine learning algorithms were used to classify objective voice quality and posture quality, yet Artificial Neural Network models were found as best classifiers. Two models were tested using individual test sets and accuracies of voice quality and posture quality estimations were found to be 83.35% and 78.27%.

KW - artificial neural network

KW - feature extraction

KW - posture evaluation

KW - Signal processing

KW - voice quality

UR - http://www.scopus.com/inward/record.url?scp=85060598578&partnerID=8YFLogxK

U2 - 10.1109/UBMK.2018.8566520

DO - 10.1109/UBMK.2018.8566520

M3 - Conference contribution

AN - SCOPUS:85060598578

T3 - UBMK 2018 - 3rd International Conference on Computer Science and Engineering

SP - 318

EP - 323

BT - UBMK 2018 - 3rd International Conference on Computer Science and Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Computer Science and Engineering, UBMK 2018

Y2 - 20 September 2018 through 23 September 2018

ER -

Demirel C, Aydan HC, Kocak I, İnce G. Automatic Posture Evaluation for Professional Voice Users. In UBMK 2018 - 3rd International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc. 2018. p. 318-323. 8566520. (UBMK 2018 - 3rd International Conference on Computer Science and Engineering). doi: 10.1109/UBMK.2018.8566520

Automatic Posture Evaluation for Professional Voice Users

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Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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