sheymann

# ----------------------------------------------------------------------------
# Rudolf Cardinal, March 2011
# Simple extensions to ggplot2 (v0.8.7); see http://www.psychol.cam.ac.uk/statistics/R/
# ----------------------------------------------------------------------------

theme_L_border <- function(colour = "black", size = 1, linetype = 1) {
  # use with e.g.: ggplot(...) + opts( panel.border=theme_L_border() ) + ...
  structure(
    function(x = 0, y = 0, width = 1, height = 1, ...) {
      polylineGrob(

baali

'''
A hack based on this http://mikepultz.com/2011/03/accessing-google-speech-api-chrome-11/. While with smaller voice samples google speech to text works really good, as length increases quality decreases. So here using audiolab and numPy we are breaking audio sample, in smaller chunks, and removing blank/empty spaces from audio signal and then pushing them to google for processing. 
It takes wav file format as input but can be changed to other formats too.
'''

from scikits.audiolab import wavread, play, flacwrite
from numpy import average, array, hstack
import os
import sys

bosmacs

%!TEX TS-program = xelatex
\documentclass[12pt]{scrartcl}  

% The declaration of the document class:

% The second line here, i.e.
% \documentclass[12pt]{scrartcl} 
% is a standard LaTeX document class declaration: 
% we say what kind of document we are making in curly brackets, 
% and specify any options in square brackets.