Mel-Frequency-based Feature Analysis of Audio Signals in the Context of Holy Quran Recitation

Author:

Faizan Muhammad,Arif Muhammad SameerORCID,Chattha Jawwad Nasar,Butt Faran Awais

Publisher

Springer Science and Business Media LLC

Reference24 articles.

1. Ibrahim, M.A.; Shah, M.S.M.; Mohd, R.A.: Concept of shifa in al-quran: quranic medicine approach in healing physical ailment. In: 2nd International Conference on Islam, Science & Education: University Sains Malaysia. Link (2017)

2. Hsu, Y.-W.; Tsai, H.-P.; Chiu, M.-C.; Hwang, S.-L.; Shih, H.-L.; Huang, F.-T.; Lee, C.-T.: Classification of soothing music using fuzzy c-means clustering algorithm. In: Bridging Research and Good Practices towards Patients Welfare: Proceedings of the 4th International Conference on Healthcare Ergonomics and Patient Safety (HEPS), Taipei, Taiwan, 23–26 June 2014, p. 337, CRC Press (2014).

3. Zaidah, Q.R.R.; Imaduddin, M.: Listening to the Quran recitations: ’does it affect psychophysiological measures of emotion?’. In: 3rd ASEAN Conference on Psychology, Counselling, and Humanities (ACPCH 2017), pp. 105–111. Atlantis Press (2018).

4. Er, M.B.; Aydilek, I.B.: Music emotion recognition by using chroma spectrogram and deep visual features. Int. J. Comput. Intell. Syst. 12(2), 1622–1634 (2019)

5. Latif, R.A.: Preferred sound type for stress therapy. In: 2018 4th International Conference on Computer and Information Sciences (ICCOINS), pp. 1–6. IEEE (2018)

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