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:

jaekookang

-- Remove the history from 
rm -rf .git

-- recreate the repos from the current content only
git init
git add .
git commit -m "Initial commit"

-- push to the github remote repos ensuring you overwrite history
git remote add origin [email protected]:<YOUR ACCOUNT>/<YOUR REPOS>.git

jaekookang

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import sys, time, threading, abc
from optparse import OptionParser

def parse_options():
    parser = OptionParser()
    parser.add_option("-t", action="store", type="int", dest="threadNum", default=1,
                      help="thread count [1]")

jaekookang

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

jaekookang

""" Deep Auto-Encoder implementation
	
	An auto-encoder works as follows:

	Data of dimension k is reduced to a lower dimension j using a matrix multiplication:
	softmax(W*x + b)  = x'
	
	where W is matrix from R^k --> R^j

	A reconstruction matrix W' maps back from R^j --> R^k