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authorHiroshiba Kazuyuki <hihokaruta@gmail.com>2017-11-06 02:37:05 +0900
committerHiroshiba Kazuyuki <hihokaruta@gmail.com>2017-11-06 02:37:05 +0900
commitbe9104a1019104751ff9352a896df0f55946fd05 (patch)
tree6a028d061ee30dd6dbf1cb4333bb97c8731f13f3 /become_yukarin/model.py
add extract acoustic feature script
Diffstat (limited to 'become_yukarin/model.py')
-rw-r--r--become_yukarin/model.py24
1 files changed, 24 insertions, 0 deletions
diff --git a/become_yukarin/model.py b/become_yukarin/model.py
new file mode 100644
index 0000000..087afcd
--- /dev/null
+++ b/become_yukarin/model.py
@@ -0,0 +1,24 @@
+import chainer
+
+
+class DeepConvolution(chainer.link.Chain):
+ def __init__(self, num_scale: int, base_num_z: int, **kwargs):
+ super().__init__(**kwargs)
+ self.num_scale = num_scale
+
+ for i in range(num_scale):
+ l = base_num_z * 2 ** i
+ self.add_link('conv{}'.format(i + 1),
+ chainer.links.Convolution2D(None, l, 4, 2, 1, nobias=True))
+ self.add_link('bn{}'.format(i + 1), chainer.links.BatchNormalization(l))
+
+ def get_scaled_width(self, base_width):
+ return base_width // (2 ** self.num_scale)
+
+ def __call__(self, x):
+ h = x
+ for i in range(self.num_scale):
+ conv = getattr(self, 'conv{}'.format(i + 1))
+ bn = getattr(self, 'bn{}'.format(i + 1))
+ chainer.functions.relu(bn(conv(h)))
+ return h