avoid copying files

egs/baker_zh/TTS/local/compute_fbank_statistics.py

@@ -1,84 +0,0 @@
-#!/usr/bin/env python3
-# Copyright    2024  Xiaomi Corp.        (authors: Fangjun Kuang)
-#
-# See ../../../../LICENSE for clarification regarding multiple authors
-#
-# 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.
-"""
-This script compute the mean and std of the fbank features.
-"""
-
-import argparse
-import json
-import logging
-from pathlib import Path
-
-import torch
-from lhotse import CutSet, load_manifest_lazy
-
-
-def get_args():
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument(
-        "manifest",
-        type=Path,
-        help="Path to the manifest file",
-    )
-
-    parser.add_argument(
-        "cmvn",
-        type=Path,
-        help="Path to the cmvn.json",
-    )
-
-    return parser.parse_args()
-
-
-def main():
-    args = get_args()
-
-    manifest = args.manifest
-    logging.info(
-        f"Computing fbank mean and std for {manifest} and saving to {args.cmvn}"
-    )
-
-    assert manifest.is_file(), f"{manifest} does not exist"
-    cut_set = load_manifest_lazy(manifest)
-    assert isinstance(cut_set, CutSet), type(cut_set)
-
-    feat_dim = cut_set[0].features.num_features
-    num_frames = 0
-    s = 0
-    sq = 0
-    for c in cut_set:
-        f = torch.from_numpy(c.load_features())
-        num_frames += f.shape[0]
-        s += f.sum()
-        sq += f.square().sum()
-
-    fbank_mean = s / (num_frames * feat_dim)
-    fbank_var = sq / (num_frames * feat_dim) - fbank_mean * fbank_mean
-    print("fbank var", fbank_var)
-    fbank_std = fbank_var.sqrt()
-    with open(args.cmvn, "w") as f:
-        json.dump({"fbank_mean": fbank_mean.item(), "fbank_std": fbank_std.item()}, f)
-        f.write("\n")
-
-
-if __name__ == "__main__":
-    formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
-
-    logging.basicConfig(format=formatter, level=logging.INFO)
-
-    main()

egs/baker_zh/TTS/local/compute_fbank_statistics.py

@@ -0,0 +1 @@
+../../../ljspeech/TTS/local/compute_fbank_statistics.py