dtw metric for tts, test=doc

paddleaudio/CHANGELOG.md

@@ -2,3 +2,4 @@
 
 Date: 2022-2-25, Author: Hui Zhang.
   - Refactor architecture.
+  - dtw distance and mcd style dtw

paddleaudio/paddleaudio/metric/__init__.py

@@ -11,3 +11,5 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+from .dtw import dtw_distance
+from .mcd import mcd_distance

paddleaudio/paddleaudio/metric/dtw.py

@@ -0,0 +1,42 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import numpy as np
+from dtaidistance import dtw_ndim
+
+__all__ = [
+    'dtw_distance',
+]
+
+
+def dtw_distance(xs: np.ndarray, ys: np.ndarray) -> float:
+    """dtw distance
+
+    Dynamic Time Warping.
+    This function keeps a compact matrix, not the full warping paths matrix.
+    Uses dynamic programming to compute:
+
+    wps[i, j] = (s1[i]-s2[j])**2 + min(
+                    wps[i-1, j  ] + penalty,  // vertical   / insertion / expansion
+                    wps[i  , j-1] + penalty,  // horizontal / deletion  / compression
+                    wps[i-1, j-1])            // diagonal   / match
+    dtw = sqrt(wps[-1, -1])
+
+    Args:
+        xs (np.ndarray): ref sequence, [T,D]
+        ys (np.ndarray): hyp sequence, [T,D]
+
+    Returns:
+        float: dtw distance
+    """
+    return dtw_ndim.distance(xs, ys)

paddleaudio/paddleaudio/metric/mcd.py

@@ -0,0 +1,47 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import mcd.metrics_fast as mt
+from mcd import dtw
+
+__all__ = [
+    'mcd_distance',
+]
+
+
+def mcd_distance(xs: np.ndarray, ys: np.ndarray, cost_fn=mt.logSpecDbDist):
+    """Mel cepstral distortion (MCD), dtw distance.
+
+    Dynamic Time Warping.
+    Uses dynamic programming to compute:
+    wps[i, j] = cost_fn(xs[i], ys[j]) + min(
+                    wps[i-1, j  ],  // vertical   / insertion / expansion
+                    wps[i  , j-1],  // horizontal / deletion  / compression
+                    wps[i-1, j-1])  // diagonal   / match
+    dtw = sqrt(wps[-1, -1])
+
+    Cost Function:
+    logSpecDbConst = 10.0 / math.log(10.0) * math.sqrt(2.0)
+    def logSpecDbDist(x, y):
+        diff = x - y
+        return logSpecDbConst * math.sqrt(np.inner(diff, diff))
+
+    Args:
+        xs (np.ndarray): ref sequence, [T,D]
+        ys (np.ndarray): hyp sequence, [T,D]
+
+    Returns:
+        float: dtw distance
+    """
+    min_cost, path = dtw.dtw(xs, ys, cost_fn)
+    return min_cost

paddleaudio/setup.py

@@ -59,6 +59,8 @@ setuptools.setup(
         'resampy >= 0.2.2',
         'soundfile >= 0.9.0',
         'colorlog',
+        'dtaidistance >= 2.3.6',
+        'mcd >= 0.4',
     ], )
 
 remove_version_py()