Delete dtw.py

audio/paddleaudio/metric/dtw.py

@@ -1,44 +0,0 @@
-# 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:
-    """Dynamic Time Warping.
-    This function keeps a compact matrix, not the full warping paths matrix.
-    Uses dynamic programming to compute:
-
-    Examples:
-        .. code-block:: python
-
-            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)