Results 121 to 130 of about 6,514 (211)

Machine Learning Approaches to Early Detection of Parkinson's Disease Using Speech Analysis Technique. [PDF]

Neurol Int
Hossain MA, Traini E, Amenta F.
europepmc   +1 more source

Firearm classification from acoustic signals using combined mel spectrogram, MFCC, LFCC, and CRNN networks. [PDF]

Sci Rep
Elkarous L, Jeridi MH, Dhouibi M.
europepmc   +1 more source

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.
europepmc   +1 more source

APLIKASI SPEECH TO TEXT BERBAHASA INDONESIA MENGGUNAKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS DAN HIDDEN MARKOV MODEL (HMM) [PDF]

Dalam menyampaikan informasi. Informasi dapat disampaikan dalam bentuk teks, citra, suara, dan lain-lain. Pemakaian teknologi komputer untuk menjalin komunikasi manusia dengan komputer sudah menjadi suatu kebutuhan, jika komputer mengerti ucapan yang
Widiyanto, Eko, Endah, Sukmawati Nur, Sutikno, Sutikno, Adhy, Satriyo   +3 more
core  

Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review. [PDF]

J Med Internet Res
Ebraheem M, Toghranegar J, Bridge2AI-Voice Consortium, Bensoussan Y, Templeton JM.   +4 more
europepmc   +1 more source

Classification of Speech and Associated EEG Responses from Normal-Hearing and Cochlear Implant Talkers Using Support Vector Machines. [PDF]

Audiol Res
Raghavendra S, Lee S, Tan CT.
europepmc   +1 more source

Speaker Recognition Using Mel-Frequency Cepstral Coefficient Distributions

Izvestiya of Altai State University, 2014
Alexey Zakovryashin, Petr Malinin, Andrey Lependin   +2 more
openaire   +1 more source

A pilot study on the acoustic effects of a pseudo-palatal plate on speech: Implications for articulatory rehabilitation devices. [PDF]

PLoS One
Woo ST, Na S.
europepmc   +1 more source

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.
europepmc   +1 more source

MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND SPECTRUM BASED ADDITIONAL FEATURES IN AUTOMATIC SPEAKER RECOGNITION

The efficiency of the proposed automatic speaker recognizer is evaluated using two speech databases. The feature vector consists of 21 mel-frequency cepstral coefficients (MFCCs), along with up to three additional features derived from the amplitude ...
Delić, Vlado, Perić, Zoran, Jokić, Ivan, Jokić, Stevan   +3 more
core   +1 more source