Gammatone Cepstral Coefficient for Speaker Identification
Speech Detection and Enhancement Using Single Microphone for Distant Speech Applications in Reverberant Environments
Frequency response for the 32-channel gammatone filter bank. | Download Scientific Diagram
A realtime analysis/synthesis Gammatone filterbank
Gammatone-like spectrograms
Gammatone filter bank - MATLAB - MathWorks 日本
Gammatone Filter Bank — PyFilterbank devN documentation
![PDF] The all-pole gammatone filter and auditory models | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/1b3166568f8b74430809519d0da21b33916462ad/6-Figure2-1.png "PDF] The all-pole gammatone filter and auditory models | Semantic Scholar")
PDF] The all-pole gammatone filter and auditory models | Semantic Scholar
Gammatone filterbank and symbiotic combination of amplitude and phase-based spectra for robust speaker verification under noisy conditions and compression artifacts | SpringerLink
Gammatone filter bank - MATLAB - MathWorks 日本
Analysis and design of gammatone signal models: The Journal of the Acoustical Society of America: Vol 126, No 5
Auditory filter bank — The Two!Ears Auditory Model <unknown> documentation
Gammatone filter - Wikipedia
Gammatone filters — brian2hears documentation
A popular auditory filter model: the gammatone filter bank. The... | Download Scientific Diagram
Gammatone Filter Bank-Deep Neural Network-based Monaural speech enhancement for unseen conditions - ScienceDirect
Underwater Acoustic Target Recognition Based on Gammatone Filterbank and Instantaneous Frequency
Ima Speaker
Gammatone Filter Bank — PyFilterbank devN documentation
Gammatone-like spectrograms
![PDF] Gammatone auditory filterbank and independent component analysis for speaker identification | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/1fd828676fc86bc6d56c71882b063481bdbc055a/7-Figure2-1.png "PDF] Gammatone auditory filterbank and independent component analysis for speaker identification | Semantic Scholar")
PDF] Gammatone auditory filterbank and independent component analysis for speaker identification | Semantic Scholar
Figure 7 | Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments
Practical Gammatone-like Filters for Auditory Processing
Gammatone filterbank and symbiotic combination of amplitude and phase-based spectra for robust speaker verification under noisy conditions and compression artifacts | SpringerLink
Robust Sound Source Localization Using Convolutional Neural Network Based on Microphone Array
pyfar.dsp.filter — pyfar 0.5.3 documentation
Lecture 6: Frequency Scales: Semitones, Mels, and ERBs
Whispered Speech Recognition Based on Gammatone Filterbank Cepstral Coefficients - Document - Gale Academic OneFile
