SPRAAK
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Evaluate a set of GMMs. More...
Functions | |
void | spr_mvg_eval_free (SprSspInfo *Info) |
int | spr_mvg_eval_setup (SprSspInfo *Info, const char **descript, void *aux_info) |
int | spr_mvg_eval_process (SprSspInfo *Info, const void *frame_in, void *frame_out) |
Evaluate a set of GMMs.
Evaluate a set of Gaussians of a set of Gaussian Mixure Models (GMMs) with shared Gaussians and return the (normalized) Gaussian likelihoods or the (normalized) GMM likelihoods (log10 or linear).
[mvg_eval] | ||
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% | ||
Evaluate Gaussians or GMMs and return their (log10) likelihoods. | ||
load <acmod.mvg> [acmod.hmm] [acmod.sel] | ||
Load a set of Gaussians (only <acmod.mvg> specified) or a set of Gaussian mixtures with shared Gaussians (<acmod.hmm> and <acmod.sel> also specified). | ||
options <options>(LIN;NORM;NOFLOOR;LIKELIHOOD) | ||
options (options are seperated by a ';' character): | ||
log=<int:val>(0) | ||
indicate whether the input/output is / must be stored as linear values of log values | ||
LIN | ||
indicate that the input/output is / must be stored as linear values | ||
LOG | ||
indicate that the input/output is / must be stored as log values | ||
LOG10(NULL) | ||
indicate that the input/output is / must be stored as log10 values | ||
scale=<F32:val>(-1) | ||
the input/output values are / must be multiplied with this factor (log values) or raisen to that power (linear) | ||
scale_inv=<F32:val>(-1) | ||
1.0/<scale>, i.e. multiply with this factor (log values) or raise to that power (linear) to obtain natural log / linear values | ||
norm=<int:val>(1) | ||
indicate whether the input/output is/must be normalized (1) or not (0) | ||
NORM | ||
indicate that the input/output is / must be normalized | ||
NONORM | ||
indicate that the input/output is not / must not be normalized | ||
floor=<int:val>(0) | ||
indicate whether the input/output is / must be floored (1) or not (0) | ||
FLOOR | ||
indicate that the input/output is / must be floored | ||
NOFLOOR | ||
indicate that the input/output is not / must not be floored | ||
postprob=<int:val>(0) | ||
indicate whether the inputs/outputs are (scaled) posteriors (1) or (scaled) likelihoods (0) | ||
POSTPROB | ||
indicate that the inputs/outputs are (scaled) posteriors | ||
LIKELIHOOD | ||
indicate that the inputs/outputs are (scaled) likelihoods | ||
tot_prob=<int:val>(0) | ||
indicate whether the total (log) likelihood is / must be calculated or not | ||
TOT_PROB(NULL) | ||
indicate whether the total (log) likelihood is / must be calculated | ||
entropy=<int:val>(0) | ||
indicate whether the entropy is / must be calculated or not | ||
ENTROPY(NULL) | ||
the entropy is / must be calculated | ||
Various options to normalize / convert the Gaussian (mixture) likelihoods. | ||
rmg <options> ... | ||
Speedup the Gaussian evaluation. | ||
lmo <log_min_out>(0.0) [av_ngps](1.0) | ||
Set the relative flooring value to avoid zero probs for non evaluated Gaussians. If a non-zero <av_ngps> (average number of Gaussians per state) is given, the LMO is automatically decreased by log2(av_ngps). If an HMM is given and <av_ngps> is zero, then <av_ngps> is derived from the HMM. |