kastnerkyle

from __future__ import print_function
import subprocess
import shutil
import os
import stat
import time

# This script looks extremely defensive, but *should* let you rerun at
# any stage along the way. Also a lot of code repetition due to eventual support
# for "non-blob" install from something besides the magic kk_all_deps.tar.gz

kastnerkyle

% Assumptions: vctk is in ~/vctk/VCTK-Corpus.tar.gz
% htk is in ~/htk/HTK-3.4.1.tar.gz
% festival is in ~/festival/festival-2.4-release.tar.gz
% speech_tools is in ~/speech_tools/speech_tools-2.4-release.tar.gz
% sptk is in ~/sptk
% extrafiles from http://festvox.org/packed/festival/2.4/
% festlex_CMU.tar.gz
% festlex_POSTLEX.tar.gz
% festlex_OALD.tar.gz
% festvox_cmu_us_slt_cg.tar.gz

nikitakit

"""
Beam decoder for tensorflow

Sample usage:

```
from tf_beam_decoder import  beam_decoder

decoded_sparse, decoded_logprobs = beam_decoder(
    cell=cell,

twiecki

nikitakit

This gist has been superceded by Meta Graph functionality that has since been added to tensorflow core.

See: https://www.tensorflow.org/versions/master/api_docs/python/state_ops.html#exporting-and-importing-meta-graphs

The code remains posted for archival purposes only.

kastnerkyle

raise ValueError("DEPRECATED/FROZEN - see https://github.com/kastnerkyle/tools for the latest")

# License: BSD 3-clause
# Authors: Kyle Kastner
# Harvest, Cheaptrick, D4C, WORLD routines based on MATLAB code from M. Morise
# http://ml.cs.yamanashi.ac.jp/world/english/
# MGC code based on r9y9 (Ryuichi Yamamoto) MelGeneralizedCepstrums.jl
# Pieces also adapted from SPTK
from __future__ import division
import numpy as np

kastnerkyle

# Stacked LSTMs
# Author: Kyle Kastner
# Based on script from /u/siblbombs
# License: BSD 3-Clause
import tensorflow as tf
from tensorflow.models.rnn import rnn
from tensorflow.models.rnn.rnn_cell import LSTMCell
import numpy as np
import time

kastnerkyle

# Authors: Kyle Kastner
# License: BSD 3-clause
import theano.tensor as T
import numpy as np
import theano


class rmsprop(object):
    """
    RMSProp with nesterov momentum and gradient rescaling

lrytz

Shortcut for Syntax Highlighting in Keynote

The idea is based on a gist by @jimbojsb.

You can use Pygments or Highlight.

Install Pygments

brew install python

tmramalho

import theano
import theano.tensor as T
import numpy as np
import cPickle
import random
import matplotlib.pyplot as plt

class RNN(object):

	def __init__(self, nin, n_hidden, nout):