acetylSv

import os, sys
import numpy as np
import h5py
from collections import defaultdict

from hyperparams import Hyperparams as hp
from utils import *

h5py_path = sys.argv[1]
dataset_path = sys.argv[2]

acetylSv

for var in $@
do
    # for auditok to process a file
    # -e : energy threshlod
    # -d : discard silence period
    # -s : min-length of a continuos silence
    # -n : min-length of a segment
    # -m : max-length of a segment
    # -M : only process the first M seconds of the file
    echo "processing file : $var"

acetylSv

import torch
import torch.nn as nn

class LocAwareAttnLayer(nn.Module):
    '''
    implementation of: https://arxiv.org/pdf/1506.07503.pdf
    '''
    def __init__(self, dec_hidden_dim, enc_feat_dim, conv_dim, attn_dim, smoothing=False):
        super(LocAwareAttnLayer, self).__init__()
        self.attn_dim = attn_dim

acetylSv

#/bin/sh

DIR='./txt_parts'

for filename in $DIR/*
do
	echo ${filename}
	curl -X POST -F "wordfile=@${filename}" \
	-H "ContentType=multipart/form-data" http://www.speech.cs.cmu.edu/cgi-bin/tools/logios/lextool.pl \
	-o ${filename}_res.txt

acetylSv

# For downloading The English audiobook data for the Blizzard Challenge 2013
# Step1. Read and Accept License at http://www.cstr.ed.ac.uk/projects/blizzard/2013/lessac_blizzard2013/license.html
# Step2. Get Username and Password through email.
# Step3. Insert Username and Password below and run this script.
name=''
pass=''
dl="wget --user ${name} --password ${pass}"
baseurl='http://data.cstr.ed.ac.uk/blizzard2013/lessac'
parts='BlackBeauty.zip
Lessac_Blizzard2013_CatherineByers_train.tar.bz2