Package lib :: Module fv201102

Module fv201102

Duration estimator for speech.

Usage: s_slope [flags]
Flags: -f FFF opens file FFF for reading.
        -c XXX  selects column XXX (either a data name or an integer).
        -o FFF  sets the output file.
        -dt #.##   Sets the interval for calculating the output.

It takes a local spectrum,
bins it onto the Bark scale,
converts to perceptual loudness (via **E).
Then, it computes a measure of how far you can go
from each point before the spectrum changes too much.

Functions

win(n, tdif, tdif2)

source code

feature_vec_guts(data, dt, Dt, do_irx=False, LF=1.0, fdif2=0.0, tdif=0.0, tdif2=0.0, Nsv=0.75, FORMANT_LOW=None, FORMANT_HIGH=None, cache_info=None, ps_cache_info=None)

source code

feature_vec(data, dt, DT, LF=1.0, Nsv=0.75, fdif2=0.0, tdif=0.0, tdif2=0.0, FORMANT_LOW=None, FORMANT_HIGH=None, do_irx=False, cache_info=None, ps_cache_info=None)

source code

Variables
	NSV = `0.75`
	Opt_text = `'\n# RUN 1\n# summarize_logs -uid UID -fromstart -b...`
	Scale = `FVM.scale_xform(Opt_text, name= "2011-04-17 optimizati...`
	__package__ = `'lib'`

Imports: numpy, CC, gpkmisc, erb_scale, PS, FVM, VM, SillyWidthException

Variables Details

Opt_text

Value:

'''
# RUN 1
# summarize_logs -uid UID -fromstart -best logS_advLImMDREf,-fv201102_
4.av
# len(currentlist)= 26 tail= 0.0 nsamp= 26
# max(logS_advLImMDREf,-fv201102_4.av) = 376.74
#  samples used = 1 filename= logS_advLImMDREf,-fv201102_4.av
376.74 logp
...

Scale

Value:

FVM.scale_xform(Opt_text, name= "2011-04-17 optimization on mace and c
ayenne:/home/gpk/ItakuraSaitoDistance/IS-DTW/logS_advLImMDREf,-fv20110
2/{1,2}")