articleTop 1% cited
A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform
Applied Soft Computing · 2018 · Vol. 74 · pp. 255–263
C. Okan Sakar✉(Bahçeşehir University)Görkem Serbes(Yıldız Technical University)Ayşegül Gündüz(Istanbul University-Cerrahpaşa)Hünkar Can Tunç(Bahçeşehir University)Hatice Nizam Ozogur(Istanbul University-Cerrahpaşa)Betül Erdoğdu Şakar(Bahçeşehir University)Melih Tütüncü(Istanbul University-Cerrahpaşa)Tarkan Aydın(Bahçeşehir University)M. Erdem Isenkul(Istanbul University-Cerrahpaşa)Hülya Apaydın(Istanbul University-Cerrahpaşa)
Voice and Speech DisordersSpeech and Audio ProcessingSpeech Recognition and SynthesisFeature extractionComputer scienceWavelet transformMel-frequency cepstrumSpeech recognitionFeature (linguistics)Voice activity detectionArtificial intelligenceSpeech processingSignal processing
Funding
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Citations
520
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21.58
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References
43
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References
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