| """ | |
| 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 |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from scipy.ndimage import gaussian_filter | |
| rng = np.random.default_rng() | |
| # shape = (1024, ) | |
| # shape = (512, 512) | |
| shape = (128, 128, 128) |
| """ | |
| Written by GPT3 from this English prompt (with one tweak to the prompt, to get | |
| the timestamp parameter to not error out, and PEP8 fixes): | |
| ---- | |
| 1. Open a sqlite database with a name like `2022-07-17 17.48.19.db` or | |
| `2021-04-11 08.44.16.db` | |
| 2. Inside is a table called `locations`, with headers [LOCTYPE INTEGER, | |
| TIMESTAMP BIGINT, LATITUDE REAL, LONGITUDE REAL,ALTITUDE REAL, ACCURACY |
| """ | |
| Confirm the formula for estimating the variance of an estimated probability. | |
| Created on Fri May 27 11:06:43 2022 | |
| """ | |
| import numpy as np | |
| def func(x): | |
| """ |
| """ | |
| Train a neural network to learn an FIR filter. | |
| Created on Fri Aug 3 15:00:40 2018 | |
| """ | |
| from tensorflow.keras.models import Sequential | |
| from tensorflow.keras.layers import Dense | |
| from tensorflow.keras.callbacks import Callback | |
| import numpy as np | |
| from scipy import signal |
| python 3.8.* | |
| scikit-learn ==0.24.1 |
| """ Zoom FFT function""" | |
| import numpy as np | |
| from time import time | |
| from scipy.fftpack import fft, ifft | |
| from numpy import swapaxes | |
| def chirpz(x, A=None, W=None, M=None): | |
| """chirpz(x, A, W, M) - Chirp z-transform of variable x |
I can't find any online OCRed copy of this content, so I'm transcribing a bunch of stuff.
Citation:
Actually this contains three previous unpublished papers, which is why it's sometimes listed as "1977". Example citations for the individual papers:
| """ | |
| Created on Wed Nov 04 11:34:53 2015 | |
| """ | |
| from numpy import logspace, log10, sqrt, pi | |
| import matplotlib.pyplot as plt | |
| from audio_electronics_shortcuts import dB | |
| import pint | |
| u = pint.UnitRegistry() |
Dependencies
sudo apt install poppler-utils imagemagick
To extract all the images:
for file in **.pdf
pdfimages -all "$file" "$file"
end