THE AUDITORY MODELING TOOLBOX
Go to function
AMT - Various stages of auditory models
Basilar membrane velocity
- hohmann2002_clearstate - Clears the state of the filterbank object
- hohmann2002_delay - Create a delay object
- hohmann2002_filter - Create a single Gammatone filter object
- hohmann2002_freqz - Calculates frequency response of a filterbank object
- hohmann2002_mixer - Create a mixer object
- hohmann2002_process - Process the input signals by the corresponding filterbank object
- hohmann2002_synth - Create a synthesis object
- lyon2011_agcstep - Active gain control update step
- lyon2011_carstep - One sample-time update step for the filter part of the model
- lyon2011_closeagcloop - Active gain control loop
- lyon2011_crosscouple - Adjust the intensity of the ear signals
- lyon2011_design - Computes all the filter coefficients needed to run the CARFAC model
- lyon2011_detect - Calculates conductance using a sigmoidal detection nonlinearity
- lyon2011_ihcstep - Update step of inner-hair-cell (IHC) model
- lyon2011_init - Allocates the state vector storage in the CARFAC model
- lyon2011_ohcnlf - Velocity after OHC processing
- lyon2011_spatialsmooth - Spatial smoothing of FIR coefficients
- lyon2011_stageg - Return the stage gain g needed to get unity gain at DC
Auditory nerve
- bruce2018_ffgn - Fast (exact) fractional Gaussian noise and Brownian motion generator.
- bruce2018_fitaudiogram - Fit audiogram to threshold shifts
- bruce2018_generateanpopulation - Generate auditory nerve fibre population
- bruce2018_innerhaircells - Calculation of inner haircell potential
- bruce2018_synapse - Calculation of synapse output
- zilany2014_ffgn - Fast (exact) fractional Gaussian noise and Brownian motion generator.
- zilany2014_innerhaircells - Calculation of inner haircell potential
- zilany2014_synapse - Calculation of synapse output
Temporal modulation sensitivity
- carney2015_fitaudiogram - Fit audiogram to threshold shifts
- carney2015_generateneurogram - Generate a neurogram
- carney2015_getalphanorm - Returns filter coefficients for a normalized alpha function
- king2019_modfilterbank - Modulation filterbank
- relanoiborra2019_drnl - Dual-resonance nonlinear filterbank
- relanoiborra2019_mfbtd - Modulation filterbank
- relanoiborra2019_featureextraction - Preprocessing stage
- roenne2012_chirp - Simulate chirp evoked ABRs
- roenne2012_click - Simulate ABR respone to click
- roenne2012_tonebursts - Simulate tone burst evoked ABR wave V latencies
- verhulst2018_auditorynerve - Auditory nerve models used by Verhulst et al. 2018 and 2015
- verhulst2015_cn - Cochlear nucleus model
- verhulst2015_ic - Inferior colliculus model
- verhulst2018_ihctransduction - IHC transduction in Verhulst et al. 2018
Binaural processing
- breebaart2001_centralproc - Central processor taking decision in an experiment
- breebaart2001_eicell - Excitation-inhibition cell from Breebaart et al. (2001)
- breebaart2001_outmiddlefilter - Outer and middle-ear filter used by the model Breebaart et al. (2001)
- dietz2011_filterbank - Filterbank of Dietz 2011 binaural model
- dietz2011_interauralfunctions - Calculate interaural parameters for Dietz 2011 model
- dietz2011_unwrapitd - IPD to ITD transformation for the Dietz model
- lindemann1986_bincorr - Running cross-correlation between two signals
- lindemann1986_centroid - Centroid of the cross-correlation activation
- takanen2013_contracomparison - Enhance contrast between hemispheres
- takanen2013_cueconsistency - Check consistency before cue combination
- takanen2013_directionmapping - Map the directional cues to directions
- takanen2013_formbinauralactivitymap - Steer cues on a topographic map
- takanen2013_lso - Model of the lateral superior olive
- takanen2013_mso - Model of the medial superior olive
- takanen2013_onsetenhancement - Emphasize onsets on direction analysis
- takanen2013_periphery - Process input through the model of periphery
- takanen2013_wbmso - Wideband medial superior olive model
- takanen2013_weightedaveragefilter - Part of the takanen2013 model
- vicente2020_betterearsnrframe - Better ear SNR from audiogram
- vicente2020_buadvantage - Better ear SNR from audiogram
- vicente2020_internalnoise - Internal noise calculation
Loudness
- moore2016_agcnextframe - Adjusts successive short term loudness frames
- moore2016_binauralloudness - Calculate the binaural loudness
- moore2016_cochlea - Outer and middle ear filtering
- moore2016_excitationpattern - Calculate the excitation patterns
- moore2016_longtermloudness - Calculate the long term loudness
- moore2016_monauralinstspecloudness - Calculate instantaneous specific loudness over time
- moore2016_shorttermspecloudness - Calculate the short-term specific loudness
- moore2016_spectrum - Calculate the spectrum for an audio segment of 2048x2 samples
Monaural speech perception
- joergensen2011_combineinformation - Combines the SNRenv across modulation and audio filters
- joergensen2011_multchansnrenv - Calculates the SNRenv
- joergensen2011_overlapadd3 - Overlap-add calculation for an FFT matrix
- joergensen2011_pctodsrt - Calculates the SRT and change in SRT from the simulated percent correct
- joergensen2011_sim - Simulate the experiments of Jørgensen and Dau (2011)
- joergensen2011_sepsub - Calculates an estimate of the clean signal using spectral subtraction
- joergensen2013_sim - Simulate the experiments of Jørgensen, Ewert and Dau (2013)
Binaural speech perception
- hauth2020_ecprocess4optsigs - Applies the Equalization-Cancellation process in the frequency domain
- hauth2020_fftcon - Calculates the interaural delay of the dominant source
- hauth2020_sii - Calculates the SII according to ANSI S3.5-1997
- hauth2020_srmr - Computes the speech-to-reverberation modulation energy ratio
Spatial perception
- barumerli2022_metrics - Extract localization metrics
- barumerli2022_featureextraction - Extract HRTF using gammatone frequency bands and ITDs from SOFA object
- baumgartner2013_calibration - Calibration of the model (linear periphery)
- baumgartner2013_pmv2ppp - Calculate performance predictions from PMVs for baumgartner2013
- baumgartner2014_binauralweighting - Binaural combination of monaural similarity estimates
- baumgartner2014_calibration - Calibration of the model (linear periphery)
- baumgartner2014_comparisonprocess - Comparison with direction-specific templates
- baumgartner2014_gradientextraction - Extraction of positive spectral gradients
- baumgartner2014_likelistat - Likelihood statistics for evaluation of model performance
- baumgartner2014_parametrization - Joint optimization of model parameters
- baumgartner2014_pmv2ppp - Performance predictions from PMVs of baumgartner2014
- baumgartner2014_sensorimotormapping - Response scatter induced by localization task
- baumgartner2014_similarityestimation - Similarity estimation with listener-specific sensitivity
- baumgartner2014_spectralanalysis - Approximation of spectral analysis by auditory periphery
- baumgartner2014_virtualexp - Performs a virtual sound-localization experiment
- baumgartner2016_calibration - Calibration of the model (nonlinear periphery)
- baumgartner2016_comparisonprocess - Comparison with direction-specific templates
- baumgartner2016_gradientextraction - Extraction of positive spectral gradients
- baumgartner2016_parametrization - Joint optimization of model parameters
- baumgartner2016_spectralanalysis - Approximation of spectral analysis by auditory periphery
- baumgartner2021_mapping - Mapping of externalization scores
- kelvasa2015_anbinning - AN and time binning from Kelvasa and Dietz 2015 binaural model
- kelvasa2015_anprocessing - AN model used in Kelvasa and Dietz 2015 binaural model
- kelvasa2015_calibratemapping - Produces necessary mappings for localization model
- kelvasa2015_ciprocessing - CI ACE processing strategy used in Kelvasa and Dietz 2015 binaural model
- kelvasa2015_localize - Uses calibration data to map bilateral spike rate differences to an azimuthal angle
- langendijk2002_comp - Comparison process from Langendijk 20002.
- langendijk2002_likelihood - Likelihood estimation
- langendijk2002_spectralanalysis - FFT-based filter bank with constant relative bandwidth
- llado2022_binauralfeats - binaural auditory model based on the example 13.6.2 in: Pulkki and Karjalainen: Communication acoustics.
- llado2022_evaluatenn - evaluate the neural network
- llado2022_extractirs - extract impulse responses
- llado2022_trainnn - train the neural network
- llado2022_weightsanalysis - analyses the weights learnt by the neural network
- may2011_cbarlabel - Sets the labels of a cbar plot
- may2011_classifygmm - Gaussian mixture model
- may2011_estazimuthgmm - Estimate azimuth from Gaussian Mixture Model output
- may2011_findlocalpeaks - Finds peaks with optional quadratic interpolation
- may2011_fireprint - Colormap that increases linearly in lightness
- may2011_framedata - Frame data
- may2011_gammatoneinit - Initialize gammatone filterbank structure
- may2011_gammatone - Gammatone filterbank
- may2011_interpolateparabolic - Multi-channel parabolic interpolation
- may2011_neuraltransduction - Calculates the auditory nerve response
- may2011_xcorrnorm - Normalized time-domain cross-correlation function
- mclachlan2021_metrics - Extract localization metrics
- mclachlan2021_preproc - Preprocessing for Mclachlan et al. (2021)
- mclachlan2021_rotatedirs - Rotate a set of coordinates on a sphere
- reijniers2014_metrics - Extract localization metrics (errors) as in Reijniers et al. 2014
- reijniers2014_featureextraction - Extract HRTF using gammatone, frequency bands, and ITDs from a SOFA object
- wierstorf2013_estimateazimuth - Azimuth position estimation based on dietz2011 or lindemann1986
- ziegelwanger2013_offaxis - Off-axis version of Ziegelwanger et al. (2013) (legacy only)
- ziegelwanger2013_onaxis - On-axis version of Ziegelwanger et al. (2013) (legacy only)
- ziegelwanger2014_offaxis - Off-axis version of Ziegelwanger et al. (2014)
- ziegelwanger2014_onaxis - On-axis version of Ziegelwanger et al. (2014)
Build with Bootstrap