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Gammatone-like spectrograms
Gammatone-like spectrograms

Investigating the use of a Gammatone filterbank for a cochlear implant coding strategy - ScienceDirect
Investigating the use of a Gammatone filterbank for a cochlear implant coding strategy - ScienceDirect

Gammatone Cepstral Coefficient for Speaker Identification
Gammatone Cepstral Coefficient for Speaker Identification

Gammatone filter bank (f s =20 kHz, f 0 =300 Hz, N f =10). | Download Scientific Diagram
Gammatone filter bank (f s =20 kHz, f 0 =300 Hz, N f =10). | Download Scientific Diagram

2: Gammatone filter bank (Sampling frequency = 16kHz) | Download Scientific Diagram
2: Gammatone filter bank (Sampling frequency = 16kHz) | Download Scientific Diagram

Frequency response for the 32-channel gammatone filter bank. | Download Scientific Diagram
Frequency response for the 32-channel gammatone filter bank. | Download Scientific Diagram

Gammatone filter bank - MATLAB - MathWorks 日本
Gammatone filter bank - MATLAB - MathWorks 日本

Gammatone Filter Bank — PyFilterbank devN documentation
Gammatone Filter Bank — PyFilterbank devN documentation

Frequency response of the gammatone filterbank used to decompose the... | Download Scientific Diagram
Frequency response of the gammatone filterbank used to decompose the... | Download Scientific Diagram

Auditory filter bank — The Two!Ears Auditory Model <unknown> documentation
Auditory filter bank — The Two!Ears Auditory Model <unknown> documentation

Index — Gammatone Filterbank Toolkit 1.0
Index — Gammatone Filterbank Toolkit 1.0

Consolidating Product Spectrum and Gammatone filterbank for robust speaker verification under noisy conditions | Semantic Scholar
Consolidating Product Spectrum and Gammatone filterbank for robust speaker verification under noisy conditions | Semantic Scholar

Gammatone Filter Bank — PyFilterbank devN documentation
Gammatone Filter Bank — PyFilterbank devN documentation

Intelligent Automation & Soft Computing DOI:10.32604/iasc.2021.018823 images Article Robust Sound Source Localization Using Convolutional Neural Network Based on Microphone Array Xiaoyan Zhao1,*, Lin Zhou2, Ying Tong1, Yuxiao Qi1 and Jingang ...
Intelligent Automation & Soft Computing DOI:10.32604/iasc.2021.018823 images Article Robust Sound Source Localization Using Convolutional Neural Network Based on Microphone Array Xiaoyan Zhao1,*, Lin Zhou2, Ying Tong1, Yuxiao Qi1 and Jingang ...

PDF] Voice biometric feature using Gammatone filterbank and ICA | Semantic Scholar
PDF] Voice biometric feature using Gammatone filterbank and ICA | Semantic Scholar

Gammatone Filter Bank — PyFilterbank devN documentation
Gammatone Filter Bank — PyFilterbank devN documentation

Figure 2 from Gammatone auditory filterbank and independent component analysis for speaker identification | Semantic Scholar
Figure 2 from Gammatone auditory filterbank and independent component analysis for speaker identification | Semantic Scholar

Gammatone filter bank (sampling frequency is 22,050Hz) | Download Scientific Diagram
Gammatone filter bank (sampling frequency is 22,050Hz) | Download Scientific Diagram

Gammatone filter bank - Simulink - MathWorks 日本
Gammatone filter bank - Simulink - MathWorks 日本

Gammatone filter bank - MATLAB - MathWorks 日本
Gammatone filter bank - MATLAB - MathWorks 日本

Figure 7 | Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments
Figure 7 | Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments

Gammatone filterbank and symbiotic combination of amplitude and phase-based spectra for robust speaker verification under noisy conditions and compression artifacts | SpringerLink
Gammatone filterbank and symbiotic combination of amplitude and phase-based spectra for robust speaker verification under noisy conditions and compression artifacts | SpringerLink

New Front End Based on Multitaper and Gammatone Filters for Robust Speaker Verification | SpringerLink
New Front End Based on Multitaper and Gammatone Filters for Robust Speaker Verification | SpringerLink