jaekookang

네이버 나눔 글꼴(https://zetawiki.com/wiki/%EB%82%98%EB%88%94%EA%B8%80%EA%BC%B4)

• Font Preview

Download and Install

# download and extract font files(.ttf)
wget http://cdn.naver.com/naver/NanumFont/fontfiles/NanumFont_TTF_ALL.zip
wget https://github.com/naver/nanumfont/releases/download/VER2.5/NanumGothicCoding-2.5.zip
unzip NanumFont_TTF_ALL.zip

jaekookang

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

1. Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare git@github.com:usi-systems/easytrace.git

jaekookang

#We can check for Ctrl-C with KeyboardInterrupt exception as follows:

try:
    while True:
        print "Echo ", raw_input(">")
except KeyboardInterrupt:
    print "Good bye"

#When python process was killed, we will not get KeyboardInterrupt. But we can instead catch SIGTERM sent by kill command.
#In order to catch SIGTERM, we can do:

jaekookang

/**
 * @author qiao / https://github.com/qiao
 * @author mrdoob / http://mrdoob.com
 * @author alteredq / http://alteredqualia.com/
 * @author WestLangley / http://github.com/WestLangley
 * @author erich666 / http://erichaines.com
 * @author mrflix / http://felixniklas.de
 * 
 * released under MIT License (MIT)
 */

jaekookang

from flask import Flask, Response

app = Flask(__name__)


@app.route("/wav")
def streamwav():
    def generate():
        with open("signals/song.wav", "rb") as fwav:
            data = fwav.read(1024)

jaekookang

Creating a clean gh-pages branch

This is the sequence of steps to follow to create a root gh-pages branch. It is based on a question at [SO]

cd /path/to/repo-name
git symbolic-ref HEAD refs/heads/gh-pages
rm .git/index
git clean -fdx
echo "My GitHub Page" > index.html

jaekookang

from scipy.io.wavfile import read, write
import io

## This may look a bit intricate/useless, considering the fact that scipy's read() and write() function already return a
## numpy ndarray, but the BytesIO "hack" may be useful in case you get the wav not through a file, but trough some websocket or
## HTTP Post request. This should obviously work with any other sound format, as long as you have the proper decoding function

with open("input_wav.wav", "rb") as wavfile:
    input_wav = wavfile.read()

jaekookang

// Reference: http://lea.verou.me/2011/10/easily-keep-gh-pages-in-sync-with-master/

$ git add .
$ git status // to see what changes are going to be commited
$ git commit -m 'Some descriptive commit message'
$ git push origin master

$ git checkout gh-pages // go to the gh-pages branch
$ git rebase master // bring gh-pages up to date with master
$ git push origin gh-pages // commit the changes

jaekookang

#!/bin/bash

# This is a yet another download script for the cmu arctic speech corpus.
# The corpus will be downloaded in $HOME/data/cmu_arctic/

location=$HOME/data/cmu_arctic/

if [ ! -e $location ]
then
    echo "Create " $location

jaekookang

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

Convert WAV to MP3, mix down to mono (use 1 audio channel), set bit rate to 64 kbps and sample rate to 22050 Hz: