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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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# 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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        if self.use_harvest:
            import amfm_decompy.pYAAPT as pYAAPT
            import amfm_decompy.basic_tools as basic
            signal = basic.SignalObj(wav_path)
            print(min_f0, max_f0)
            min_f0 = min(150, min_f0) # TODO: Fix this property
            pitch = pYAAPT.yaapt(signal, f0_min=min_f0, f0_max=max_f0, frame_length=25, frame_space=5)
            f0 = pitch.samp_values.astype(np.float64)
            timeaxis = np.linspace(0, (pitch.samp_values.shape[0]-1) * 0.005, len(pitch.samp_values))
            #f0, timeaxis = pyworld.harvest(x, fs, frame_period=self.frame_period,

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#!/bin/bash

NEUTRINO_DIR=~/sp/NEUTRINO
dst_dir=./sinsy_lab
mkdir -p $dst_dir/full
mkdir -p $dst_dir/mono

for f in musicxml/*.xml
do
    name=$(basename $f)