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

estimate formant peak frequency and Q factor based on LPC analysis

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

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

python3 iir_LowShelving1.py

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  

glottal source spectrum condition

resampling wav to 16Khz sampling

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

Document

For more information, please see related WEB or same content in Japanese

License

MIT
except LPC.py