Files
storyteller-ml/tts/NeMo/tests/nemo_text_processing/utils.py
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2022-02-28 05:43:54 -05:00

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1.8 KiB
Python

# Copyright (c) 2021, NVIDIA CORPORATION. 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 os
try:
import pynini
PYNINI_AVAILABLE = True
except (ImportError, ModuleNotFoundError):
PYNINI_AVAILABLE = False
def parse_test_case_file(file_name: str):
"""
Prepares tests pairs for ITN and TN tests
"""
test_pairs = []
with open(os.path.dirname(os.path.abspath(__file__)) + os.path.sep + file_name, 'r') as f:
for line in f:
spoken, written = line.split('~')
test_pairs.append((spoken, written.strip("\n")))
return test_pairs
def get_test_cases_multiple(file_name: str = 'data_text_normalization/test_cases_normalize_with_audio.txt'):
"""
Prepares tests pairs for audio based TN tests
"""
test_pairs = []
with open(os.path.dirname(os.path.abspath(__file__)) + os.path.sep + file_name, 'r') as f:
written = None
normalized_options = []
for line in f:
if line.startswith('~'):
if written:
test_pairs.append((written, normalized_options))
normalized_options = []
written = line.strip().replace('~', '')
else:
normalized_options.append(line.strip())
test_pairs.append((written, normalized_options))
return test_pairs