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| # Copyright 2024 LY Corporation | |
| # LY Corporation licenses this file to you 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: | |
| # https://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 logging | |
| import os | |
| from os.path import dirname | |
| format = "%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" | |
| def getLogger(verbose=0, filename=None, name="ttwave"): | |
| logger = logging.getLogger(name) | |
| if verbose >= 100: | |
| logger.setLevel(logging.DEBUG) | |
| elif verbose > 0: | |
| logger.setLevel(logging.INFO) | |
| else: | |
| logger.setLevel(logging.WARN) | |
| stream_handler = logging.StreamHandler() | |
| stream_handler.setFormatter(logging.Formatter(format)) | |
| logger.addHandler(stream_handler) | |
| if filename is not None: | |
| os.makedirs(dirname(filename), exist_ok=True) | |
| file_handler = logging.FileHandler(filename=filename) | |
| file_handler.setLevel(logging.INFO) | |
| file_handler.setFormatter(logging.Formatter(format)) | |
| logger.addHandler(file_handler) | |
| return logger | |
| def load_libritts_spk_metadata(path="external/speakers.tsv", debug=False): | |
| spk2meta = {} | |
| with open(path) as f: | |
| lines = f.readlines() | |
| for line in lines[1:]: # skip header | |
| vals = line.strip().split("\t") | |
| if len(vals) == 4: | |
| spk, gender, subset, name = vals | |
| elif len(vals) == 3: | |
| spk, gender, subset = vals | |
| name = "Unknown" | |
| spk2meta[spk] = {"gender": gender, "subset": subset, "name": name} | |
| if debug: | |
| eval_spks = [1188, 1995, 260] | |
| val_spks = [89, 90, 91] | |
| train_spks = [100, 101, 102, 1001] | |
| spks = eval_spks + val_spks + train_spks | |
| spk2meta = {k: v for k, v in spk2meta.items() if int(k) in spks} | |
| return spk2meta | |