Results 131 to 140 of about 3,610,992 (210)

Mel-Generalized Cepstral Analysis

, 1994
The generalized cepstral analysis method is viewed as a unified approach to the cepstral method and the linear prediction method, in which the model spectrum varies continuously from all-pole to cepstral according to the value of a parameter #. Since the
Unified Approach To, Takao Kobayashi, Satoshi Imai, Keiichi Tokuda, Takashi Masuko   +4 more
core  

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

Early Detection of Glottic Cancer Through Machine Learning and Acoustic Voice Analysis: A Systematic Review. [PDF]

Med Sci (Basel)
Verma H, Mishra R, Nagamani B, Patro SK, Ramavat AS, Bakshi J, Khandnor P, Rani S, Chand T.   +8 more
europepmc   +1 more source

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

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

A multimodal feature fusion model integrating voice acoustic features and early key risk factors for early screening of postpartum depression: a prospective short-term longitudinal observational study. [PDF]

Front Public Health
Han X, Yue C, Zhang X, Ji X, Lin S, Chen M, Wang X, Zhang Y, Xu W, Liu Y, Li H.   +10 more
europepmc   +1 more source

MEL-FREQUENCY CEPSTRAL COEFFICIENTS FOR SPEAKER RECOGNITION : A REVIEW

International Journal of Advance Engineering and Research Development, 2015
openaire   +1 more source

SpeechDETECT: an explainable automated speech processing pipeline for early detection of neurological and health changes. [PDF]

Health Inf Sci Syst
Zolnoori M, Esmaeili E, Naserian M, Zolnour A, Rashidi S, Morovati T, Azadmaleki H, Zhang Z, Noble JM, McDonald MV.   +9 more
europepmc   +1 more source

Hybrid deep learning model for multimodal vocal and lung signal analysis in health monitoring. [PDF]

Sci Rep
Revathi S, Mohanasundaram K, Naveen P.
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

Ensemble learning model for deepfake audio detection using multi-feature extraction approach. [PDF]

Sci Rep
Chaudhury P, Narayan LS, Mridhula S, Tiwari R.   +3 more
europepmc   +1 more source