glottal source spectrum

A trial estimation of glottal source spectrum by anti-formant filter and inverse radiation filter.

github repository

contents

some frequency response samples of pseudo glottal source waveform


python3 glottal2mass.py

figure1

estimate formant peak frequency and Q factor based on LPC analysis


python3 get_fp4.py -w wav-file-name(mono,16bit) -f frame-number

figure2

get a low shelving filter as inverse filter against high pass filter that simulates radiation from mouth


python3 iir_LowShelving1.py

figure3


peaking filter class to drop formant boost portion, anti-formant filter


iir_peaking1.py

estimate of glottal source spectrum condition by anti-formant filter and inverse radiation filter


examples:
  vowel /a/        : python3 est_gss1.py -w a_1-16k.wav  -f 3 -g 1

  nasal voice /na/ : python3 est_gss1.py -w na_1-16k.wav -f 8 -g 2

figure4

glottal source spectrum condition

figure5


resampling wav to 16Khz sampling


python3 resample1.py -w wav-file-name(mono,16bit)

License

MIT
except LPC.py