Machine Learning Approaches to Early Detection of Parkinson's Disease Using Speech Analysis Technique. [PDF]
Neurol IntHossain MA, Traini E, Amenta F.
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Firearm classification from acoustic signals using combined mel spectrogram, MFCC, LFCC, and CRNN networks. [PDF]
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Measurement Method for Mold Slag Thickness in Continuous Casting Mold Using Millimeter-Wave Radar and Eddy Current Sensors. [PDF]
Sensors (Basel)An Y, Wang Z, Xiao J.
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Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review. [PDF]
J Med Internet ResEbraheem M +4 more
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MEL-FREQUENCY CEPSTRAL COEFFICIENTS FOR SPEAKER RECOGNITION : A REVIEW
International Journal of Advance Engineering and Research Development, 2015 openaire +1 more source
Speaker Recognition Using Mel-Frequency Cepstral Coefficient Distributions
Izvestiya of Altai State University, 2014 Alexey Zakovryashin +2 more
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Classification of Speech and Associated EEG Responses from Normal-Hearing and Cochlear Implant Talkers Using Support Vector Machines. [PDF]
Audiol ResRaghavendra S, Lee S, Tan CT.
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A pilot study on the acoustic effects of a pseudo-palatal plate on speech: Implications for articulatory rehabilitation devices. [PDF]
PLoS OneWoo ST, Na S.
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Decoding Mandarin Action Verbs from EEG Using a Dual-LSTM Network: Towards Practical Assistive Brain-Computer Interfaces. [PDF]
Sensors (Basel)Liu B, Chen G, Yin L, Liu J.
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Restoration of Acoustic Identity via Artificial Intelligence-Driven Neural Voice Conversion for Total Laryngectomy Patients: A Technical Framework for Biometric Security and Social Inclusion. [PDF]
CureusGirgin MC +3 more
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