moui72

Keybase proof

I hereby claim:

• I am moui72 on github.
• I am moui72 (https://keybase.io/moui72) on keybase.
• I have a public key ASBPu8IzAI4dMyYyoBIq9l8B47Iu59cHlSA6drUn5LWhlAo

To claim this, I am signing this object:

moui72

Keybase proof

I hereby claim:

• I am moui72 on github.
• I am moui72 (https://keybase.io/moui72) on keybase.
• I have a public key ASBPu8IzAI4dMyYyoBIq9l8B47Iu59cHlSA6drUn5LWhlAo

To claim this, I am signing this object:

moui72

const merger = meetings => {
  // initialize merged blocks with first meeting
  let merged = [meetings[0]];
  for (let mtg = 1; mtg < meetings.length; mtg++) {
    // iterate over each other meeting once
    // otherwise, look for collision btwn current mtg and existing time blocks
    let collisionIndex = -1;
    for(let i = 0; i < merged.length; i++){
      // iterate over each existing merged block
      if (

moui72

import webrtcvad
import csv
import time
import sys
import wave
import collections
import contextlib
from os import walk
from os.path import join, basename
from pydub import AudioSegment, scipy_effects

moui72

import webrtcvad
import wave
import collections
import contextlib
import sys
import glob
from os import walk
from os.path import join, basename, getctime
from json import dump, dumps
import csv

moui72

import webrtcvad
import wave
import collections
import contextlib
import sys
import glob
from os import walk
from os.path import join, basename, getctime
from json import dump, dumps
import csv

moui72

#!/bin/bash

# A simple script to recursively resample a bunch of files
# in a directory. Only certain file extensions (mp3, aac,
# flac, wav) are considered.
#
# It takes 3 command line options: `indir`, `outdir` and `target_sr`.
# The destination (`outdir`) is relative to the current
# directory of where you were when the script was run.
# The desired sample rate should be provided as `target_sr`.

moui72

from os import walk
from os.path import join, basename
from pydub import AudioSegment
from json import dump, dumps
import pydub.scipy_effects
import numpy
import csv
import time

moui72

from os import walk
from os.path import join, basename
from pydub import AudioSegment
import pydub.scipy_effects
import numpy
import scipy.signal as sg
import csv


def count_silent_chunks(chunks, threshold, rev=False):

moui72

    let state = {
      ...,
      toggleables: [
        // propertyName: default value
        { visible: true },
        { rankable: true }
      ],
      ...
    }