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 HealthHan X +10 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 +3 more
core +1 more source
SpeechDETECT: an explainable automated speech processing pipeline for early detection of neurological and health changes. [PDF]
Health Inf Sci SystZolnoori M +9 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
Hybrid deep learning model for multimodal vocal and lung signal analysis in health monitoring. [PDF]
Sci RepRevathi S, Mohanasundaram K, Naveen P.
europepmc +1 more source
Ensemble learning model for deepfake audio detection using multi-feature extraction approach. [PDF]
Sci RepChaudhury P +3 more
europepmc +1 more source
Speaker Recognition Using Mel-Frequency Cepstral Coefficient Distributions
Izvestiya of Altai State University, 2014 Alexey Zakovryashin +2 more
openaire +1 more source
International Conference on Computing in Cardiology, 2016 Jonathan Rubin +5 more
semanticscholar +1 more source
Multi-QuadEmoNet: cat and dog emotion classification model from animal vocalization using multi-stage LSTM-GRU paradigm. [PDF]
Front Vet SciPearline SSRA +3 more
europepmc +1 more source
Adaptive federated learning with differential privacy for multi-class respiratory disease recognition from lung sound recordings. [PDF]
Front Digit HealthHaq SR, Lakshmanna K.
europepmc +1 more source