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a7c2243 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 | # Copyright (c) 2023, 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
import soundfile as sf
from utils.constants import BLANK_TOKEN, SPACE_TOKEN
from nemo.collections.asr.parts.utils.aligner_utils import Segment, Word
from nemo.collections.asr.parts.utils.manifest_utils import get_ctm_line
def make_ctm_files(
utt_obj,
output_dir_root,
ctm_file_config,
):
"""
Function to save CTM files for all the utterances in the incoming batch.
"""
# don't try to make files if utt_obj.segments_and_tokens is empty, which will happen
# in the case of the ground truth text being empty or the number of tokens being too large vs audio duration
if not utt_obj.segments_and_tokens:
return utt_obj
# get audio file duration if we will need it later
if ctm_file_config.minimum_timestamp_duration > 0:
with sf.SoundFile(utt_obj.audio_filepath) as f:
audio_file_duration = f.frames / f.samplerate
else:
audio_file_duration = None
utt_obj = make_ctm(
"tokens",
utt_obj,
output_dir_root,
audio_file_duration,
ctm_file_config,
)
utt_obj = make_ctm(
"words",
utt_obj,
output_dir_root,
audio_file_duration,
ctm_file_config,
)
utt_obj = make_ctm(
"segments",
utt_obj,
output_dir_root,
audio_file_duration,
ctm_file_config,
)
return utt_obj
def make_ctm(
alignment_level,
utt_obj,
output_dir_root,
audio_file_duration,
ctm_file_config,
):
output_dir = os.path.join(output_dir_root, "ctm", alignment_level)
os.makedirs(output_dir, exist_ok=True)
boundary_info_utt = []
for segment_or_token in utt_obj.segments_and_tokens:
if type(segment_or_token) is Segment:
segment = segment_or_token
if alignment_level == "segments":
boundary_info_utt.append(segment)
for word_or_token in segment.words_and_tokens:
if type(word_or_token) is Word:
word = word_or_token
if alignment_level == "words":
boundary_info_utt.append(word)
for token in word.tokens:
if alignment_level == "tokens":
boundary_info_utt.append(token)
else:
token = word_or_token
if alignment_level == "tokens":
boundary_info_utt.append(token)
else:
token = segment_or_token
if alignment_level == "tokens":
boundary_info_utt.append(token)
with open(os.path.join(output_dir, f"{utt_obj.utt_id}.ctm"), "w") as f_ctm:
for boundary_info_ in boundary_info_utt: # loop over every token/word/segment
# skip if t_start = t_end = negative number because we used it as a marker to skip some blank tokens
if not (boundary_info_.t_start < 0 or boundary_info_.t_end < 0):
text = boundary_info_.text
start_time = boundary_info_.t_start
end_time = boundary_info_.t_end
if (
ctm_file_config.minimum_timestamp_duration > 0
and ctm_file_config.minimum_timestamp_duration > end_time - start_time
):
# make the predicted duration of the token/word/segment longer, growing it outwards equal
# amounts from the predicted center of the token/word/segment
token_mid_point = (start_time + end_time) / 2
start_time = max(token_mid_point - ctm_file_config.minimum_timestamp_duration / 2, 0.0)
end_time = min(
token_mid_point + ctm_file_config.minimum_timestamp_duration / 2, audio_file_duration
)
if not (
text == BLANK_TOKEN and ctm_file_config.remove_blank_tokens
): # don't save blanks if we don't want to
# replace any spaces with <space> so we dont introduce extra space characters to our CTM files
text = text.replace(" ", SPACE_TOKEN)
ctm_line = get_ctm_line(
source=utt_obj.utt_id,
channel=1,
start_time=start_time,
duration=end_time - start_time,
token=text,
conf=None,
type_of_token='lex',
speaker=None,
)
f_ctm.write(ctm_line)
utt_obj.saved_output_files[f"{alignment_level}_level_ctm_filepath"] = os.path.join(
output_dir, f"{utt_obj.utt_id}.ctm"
)
return utt_obj
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