Package lib :: Module fv200909opt

Module fv200909opt

Feature vectors for optimized DTW alignment. Exemplar project with Ladan Baghai-Ravary.

Functions

feature_vec(data, dt, DT, LF=1.0, Nsv=0.75, ELF=1.0, do_voicing=1, do_dissonance=False, PlompBouman=False, do_pdur=False, zerosub=0.0, do_irx=True, cachename=None)

source code

Variables
	DB = `0.85`
	Opt_text = `'# Trigger="run_to_bottom finished"\n# Trigger matc...`
	Scale = `M.scale_xform(Opt_text, name= "299010 optimization in ...`
	__package__ = `'lib'`

Imports: math, numpy, die, erb_scale, PS, M, Z, SillyWidthException

Variables Details

Opt_text

Value:

'''# Trigger="run_to_bottom finished"
# Trigger match
# len(currentlist)= 198 tail= 0.0 nsamp= 198
# max(log_adv,,-fv200909opt_0.av) = 43.27
#  samples used = 198 filename= log_adv,,-fv200909opt_0.av
43.27 logp
# n= 44
1.73693 dist,alpha
...

Scale

Value:

M.scale_xform(Opt_text, name= "299010 optimization in /proj/exemplar/I
takuraSaitoDistance/IS-DTW/log_adv,,-fv200909opt_0.av")