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

import numpy as np
from numpy import linalg
from sklearn.mixture import GMM
import scipy.linalg
import scipy.sparse
import scipy.sparse.linalg

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#pragma once

#include <cmath>
#include <memory>
#include <vector>
#include <cassert>

namespace sp {

/**

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#!/usr/bin/env bash

JVSDIR=~/data/jvs_ver1
OUTDIR=~/data/jvs_r9y9_ver1

mkdir -p $OUTDIR

# link all wave file
for speaker in jvs{001..100}; do

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JVSDIR=~/data/ita
OUTDIR=~/data/ita_r9y9

mkdir -p $OUTDIR

# link all wave file
for speaker in itako zundamon methane; do
    echo $speaker
    for corpus in recitation; do
        mkdir -p $OUTDIR/$speaker/$corpus

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#!/bin/bash

set -e

# 1. ita ディレクトリ (例. $HOME/data/ita) を作成し、このスクリプトと
# https://zunko.jp/multimodal_dev/login.php からダウンロードできる
# 音声データ（3話者分）を配置する
# 2. このスクリプトを実行する

for spk in itako methane zundamon; do

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#!/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

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# coding: utf-8

import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

from torch.nn.utils import weight_norm

from nnsvs.base import BaseModel, PredictionType

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