Bob 2.0 LBP histograms of spectrogram bands plus bands-ratio.

This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.
This algorithm is splittable

Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.

Group: main

Endpoint Name Data Format Nature
labels system/array_1d_integers/1 Input
speech system/array_1d_floats/1 Input
features system/array_1d_floats/1 Output

Parameters allow users to change the configuration of an algorithm when scheduling an experiment

Name Description Type Default Range/Choices
mel_scale Apply Mel-scale filtering or use linear (default - linear) bool True
pre_emphasis_coef Pre-emphasis coefficient, used in the spectrogram computation float64 1.0
f_max Maximum frequency of the spectrogram float64 4000.0
lbp_to_average LBP parameter. Compare the pixels to the center pixel or to the average bool False
win_shift_ms The length of the overlap between neighboring windows. Typically the half of window length. float64 10.0
win_length_ms The length of the sliding processing window, typically about 20 ms float64 20.0
n_lbp_histograms Split resulted spectrogram in the number of bands and compute LBP histogram for each uint32 2
rate Sampling rate of the speech signal float64 16000.0 [2000.0, 256000.0]
n_filters The number of filter bands used in spectrogram computation uint32 40
lbp_circular LBP parameter. Extract neighbors on a circle or on a square? bool True
lbp_radius LBP parameter. The radius of the LBP in both vertical and horizontal direction together uint32 1 [1, 10]
lbp_neighbors LBP parameter. Number of neighbors uint32 8 4, 8, 16
lbp_uniform LBP parameter. Only uniform LBP codes (with less than two bit-changes between 0 and 1) are considered; all other strings are combined into one LBP code bool False
lbp_elbp_type LBP parameter. How to generate the bit strings from the pixels: regular - Choose one bit for each comparison of the neighboring pixel with the central pixel; transitional - Compare only the neighboring pixels and skip the central one; direction-coded - Compute a 2-bit code for four directions. string regular regular, transitional, direction-coded

The code for this algorithm in Python
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Silent start and end of a sample are trimmed using Voice Activity Detection (VAD) labels as input.

Experiments

Updated Name Databases/Protocols Analyzers
pkorshunov/pkorshunov/isv-asv-pad-fusion-complete/1/asv_isv-pad_lbp_hist_ratios_lr-fusion_lr-pa_aligned avspoof/2@physicalaccess_verify_train_spoof,avspoof/2@physicalaccess_antispoofing,avspoof/2@physicalaccess_verification,avspoof/2@physicalaccess_verification_spoof,avspoof/2@physicalaccess_verify_train pkorshunov/spoof-score-fusion-roc_hist/1
pkorshunov/pkorshunov/speech-pad-simple/1/speech-pad_lbp_hist_ratios_lr-pa_aligned avspoof/2@physicalaccess_antispoofing pkorshunov/simple_antispoofing_analyzer/4

This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.

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