endolith

## frequency_estimator.py
from __future__ import division
from numpy.fft import rfft
from numpy import argmax, mean, diff, log, nonzero
from scipy.signal import blackmanharris, correlate
from time import time
import sys
try:
    import soundfile as sf
except ImportError:
    from scikits.audiolab import flacread

## whisper_transcribe.py
"""
Break up a long recording to fit within the Whisper API's limits, with some
overlap, so no words are missed, and then feed to OpenAI Whisper API to
transcribe it to .txt file.  Written by endolith and ChatGPT-4.
"""

import openai
import math
import os
import subprocess

## DFT_ANN.py
"""
Train a neural network to implement the discrete Fourier transform
"""
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import numpy as np
import matplotlib.pyplot as plt

N = 32
batch = 10000

## readme.md

      
              2 files
            
          
              11 forks
            
          
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                THD+N calculator
              
          
      View readme.md
  
      
    Unfortunately, there are 2 versions of this.
The other is here: https://github.com/endolith/waveform-analyzer
I intend to either completely combine them or completely separate them,
eventually.
Somewhat crude THD+N calculator in Python
Measures the total harmonic distortion plus noise (THD+N) for a given input
signal, by guessing the fundamental frequency (finding the peak in the FFT),
and notching it out in the frequency domain. This is a THD_R

  
## example.png

      
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                endolith
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                Plot poles and zeros in Z plane for a transfer function
              
          
      View example.png
  
    
## Has weird right-to-left characters.txt
ּ_בּ
בּ_בּ
טּ_טּ
כּ‗כּ
לּ_לּ
מּ_מּ
סּ_סּ
תּ_תּ
٩(×̯×)۶
٩(̾●̮̮̃̾•̃̾)۶

## readme.md

      
              1 file
            
          
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                How to stream a webcam to a web browser in Ubuntu
              
          
      View readme.md
  
      
    Grr this took hours to figure out.  I was trying to install MJPG-streamer and running VLC command lines and all this crap but nothing worked.
First install motion:
~> sudo apt-get install motion

Then create a config file:
~> mkdir ~/.motion

~> nano ~/.motion/motion.conf

  
## AutoCorrect.ahk
; c = case sensitive
; c1 = ignore the case that was typed, always use the same case for output
; * = immediate change (no need for space, period, or enter)
; ? = triggered even when the character typed immediately before it is alphanumeric
; r = raw output

;------------------------------------------------------------------------------
; CHANGELOG:
;
; 2011-03-21 and after:  See readme.md

## peakdet.m
function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
%        [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
%        maxima and minima ("peaks") in the vector V.
%        MAXTAB and MINTAB consists of two columns. Column 1
%        contains indices in V, and column 2 the found values.
%
%        With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
%        in MAXTAB and MINTAB are replaced with the corresponding
%        X-values.

## A_weighting.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Translated from a MATLAB script (which also includes C-weighting, octave
and one-third-octave digital filters).

Author: Christophe Couvreur, Faculte Polytechnique de Mons (Belgium)
        couvreur@thor.fpms.ac.be
Last modification: Aug. 20, 1997, 10:00am.
BSD license
	from __future__ import division
	from numpy.fft import rfft
	from numpy import argmax, mean, diff, log, nonzero
	from scipy.signal import blackmanharris, correlate
	from time import time
	import sys
	try:
	import soundfile as sf
	except ImportError:
	from scikits.audiolab import flacread
	"""
	Break up a long recording to fit within the Whisper API's limits, with some
	overlap, so no words are missed, and then feed to OpenAI Whisper API to
	transcribe it to .txt file. Written by endolith and ChatGPT-4.
	"""

	import openai
	import math
	import os
	import subprocess
	"""
	Train a neural network to implement the discrete Fourier transform
	"""
	from tensorflow.keras.models import Sequential
	from tensorflow.keras.layers import Dense
	import numpy as np
	import matplotlib.pyplot as plt

	N = 32
	batch = 10000
	ּ_בּ
	בּ_בּ
	טּ_טּ
	כּ‗כּ
	לּ_לּ
	מּ_מּ
	סּ_סּ
	תּ_תּ
	٩(×̯×)۶
	٩(̾●̮̮̃̾•̃̾)۶
	; c = case sensitive
	; c1 = ignore the case that was typed, always use the same case for output
	; * = immediate change (no need for space, period, or enter)
	; ? = triggered even when the character typed immediately before it is alphanumeric
	; r = raw output

	;------------------------------------------------------------------------------
	; CHANGELOG:
	;
	; 2011-03-21 and after: See readme.md
	function [maxtab, mintab]=peakdet(v, delta, x)
	%PEAKDET Detect peaks in a vector
	% [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
	% maxima and minima ("peaks") in the vector V.
	% MAXTAB and MINTAB consists of two columns. Column 1
	% contains indices in V, and column 2 the found values.
	%
	% With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
	% in MAXTAB and MINTAB are replaced with the corresponding
	% X-values.
	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""
	Translated from a MATLAB script (which also includes C-weighting, octave
	and one-third-octave digital filters).

	Author: Christophe Couvreur, Faculte Polytechnique de Mons (Belgium)
	couvreur@thor.fpms.ac.be
	Last modification: Aug. 20, 1997, 10:00am.
	BSD license