Bionic Cepstral coefficients (BCC): A new auditory feature extraction to noise-robust speaker identification
Automatic speaker recognition (ASR) faces a major challenge in achieving robust
performances, despite humans being able to identify speakers accurately even in noisy …
performances, despite humans being able to identify speakers accurately even in noisy …
HFCC based recognition of bird species
Results from preliminary research on recognition of Polish birds' species are presented in
the paper. Bird voices were recorded in a highly noised municipal environment. High 96 kHz …
the paper. Bird voices were recorded in a highly noised municipal environment. High 96 kHz …
Taylor-DBN: A new framework for speech recognition systems
AV Haridas, R Marimuthu, VG Sivakumar… - … Journal of Wavelets …, 2021 - World Scientific
Speech recognition is a rapidly emerging research area as the speech signal contains
linguistic information and speaker information that can be used in applications including …
linguistic information and speaker information that can be used in applications including …
HFCC based recognition of bird species
Results from preliminary research on recognition of Polish birds' species are presented in
the paper. Bird voices were recorded in a highly noised municipal environment. High 96 kHz …
the paper. Bird voices were recorded in a highly noised municipal environment. High 96 kHz …
[PDF][PDF] Wykorzystanie metody nieliniowej transformacji czasowej oraz niejawnych modeli Markowa w automatycznej detekcji wybranych wad wymowy
TWO NIAK, S GRABIAS, D KRÓL - 2007 - academia.edu
W artykule przedstawiono wyniki badań dotyczących automatycznej detekcji wad wymowy u
dzieci. Jako materiał badawczy zostały wykorzystane nagrania pochodzące od dzieci z …
dzieci. Jako materiał badawczy zostały wykorzystane nagrania pochodzące od dzieci z …