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Customized High Performance Low Power Processor for Binaural Speaker Localization
Customized High Performance Low Power Processor for Binaural Speaker Localization

A realtime analysis/synthesis Gammatone filterbank
A realtime analysis/synthesis Gammatone filterbank

pyfar.dsp.filter — pyfar 0.5.3 documentation
pyfar.dsp.filter — pyfar 0.5.3 documentation

Comparison of Spectral Analysis Methods for Automatic Speech Recognition
Comparison of Spectral Analysis Methods for Automatic Speech Recognition

PDF] The all-pole gammatone filter and auditory models | Semantic Scholar
PDF] The all-pole gammatone filter and auditory models | Semantic Scholar

Gammatone filter - Wikipedia
Gammatone filter - Wikipedia

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

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

Speech Detection and Enhancement Using Single Microphone for Distant Speech Applications in Reverberant Environments
Speech Detection and Enhancement Using Single Microphone for Distant Speech Applications in Reverberant Environments

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

Gammatone filters — brian2hears documentation
Gammatone filters — brian2hears documentation

Robust Sound Source Localization Using Convolutional Neural Network Based on Microphone Array
Robust Sound Source Localization Using Convolutional Neural Network Based on Microphone Array

An Efficient Implementation of Gammatone Filters
An Efficient Implementation of Gammatone Filters

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

Speech Recognition using Gammatone Bank Filter - YouTube
Speech Recognition using Gammatone Bank Filter - YouTube

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

Entropy | Free Full-Text | Auditory Inspired Convolutional Neural Networks for Ship Type Classification with Raw Hydrophone Data
Entropy | Free Full-Text | Auditory Inspired Convolutional Neural Networks for Ship Type Classification with Raw Hydrophone Data

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

Gammatone-like spectrograms
Gammatone-like spectrograms

Underwater Acoustic Target Recognition Based on Gammatone Filterbank and Instantaneous Frequency
Underwater Acoustic Target Recognition Based on Gammatone Filterbank and Instantaneous Frequency

Ima Speaker
Ima Speaker

Sensors | Free Full-Text | A Two-Level Speaker Identification System via Fusion of Heterogeneous Classifiers and Complementary Feature Cooperation
Sensors | Free Full-Text | A Two-Level Speaker Identification System via Fusion of Heterogeneous Classifiers and Complementary Feature Cooperation

Practical Gammatone-like Filters for Auditory Processing
Practical Gammatone-like Filters for Auditory Processing

STOCHASTIC COMPUTATION OF GAMMATONE FILTER BASED HEARING AID FOR IMPAIRED PEOPLE
STOCHASTIC COMPUTATION OF GAMMATONE FILTER BASED HEARING AID FOR IMPAIRED PEOPLE

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