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International Journal of Speech Technology
Erschienen in: International Journal of Speech Technology 1/2019

18.02.2019

Application of audio visual tuning detection software in piano tuning teaching

Erschienen in: International Journal of Speech Technology | Ausgabe 1/2019

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Abstract

Nowadays, the development of electronic technology is changing every day. Computer technology has been widely used in various fields; therefore piano tuning teaching needs to keep pace with the social pace, and the tuning industry needs to be updated and explored to make it step on a new stage. In this study, the Fast Fourier Transform, Auto-correlation and Cepstrum feature extraction algorithms for audio visualization software were used to extract and visualize the audio features of seven piano tones from G4 to A4, and according to the characteristics the frequency was calculated and contrasted with the standard audio. Through the sound visualization analysis, it was found that the Auto-correlation algorithm was more consistent with the standard frequency. The use of sound visual tuning detection can plays an auxiliary role in piano tuning teaching.
Vorheriger Artikel Segment-level probabilistic sequence kernel and segment-level pyramid match kernel based extreme learning machine for classification of varying length patterns of speech
Nächster Artikel On the automatic audio analysis and classification of cry for infant pain assessment

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Literatur
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Metadaten
Titel
Application of audio visual tuning detection software in piano tuning teaching
Publikationsdatum
18.02.2019
Erschienen in
International Journal of Speech Technology / Ausgabe 1/2019
Print ISSN: 1381-2416
Elektronische ISSN: 1572-8110
DOI
https://doi.org/10.1007/s10772-019-09599-5

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