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disable speed perturbation by default

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This commit is contained in:
JinZr 2023-07-20 16:36:12 +08:00
parent 5ce709c432
commit ffb0e7891d
6 changed files with 203 additions and 21 deletions
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16
egs/multi_zh-hans/ASR/local/compute_fbank_magicdata.py
View File

@ -43,7 +43,7 @@ torch.set_num_threads(1)
torch.set_num_interop_threads(1)
def compute_fbank_thchs30(num_mel_bins: int = 80):
def compute_fbank_thchs30(num_mel_bins: int = 80, speed_perturb: bool = False):
src_dir = Path("data/manifests/magicdata")
output_dir = Path("data/fbank")
num_jobs = min(30, os.cpu_count())
@ -80,7 +80,9 @@ def compute_fbank_thchs30(num_mel_bins: int = 80):
)
if "train" in partition:
cut_set = (
cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
(cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1))
if speed_perturb
else cut_set
)
cut_set = cut_set.compute_and_store_features(
extractor=extractor,
@ -101,6 +103,12 @@ def get_args():
default=80,
help="""The number of mel bins for Fbank""",
)
parser.add_argument(
"--speed-perturb",
type=bool,
default=False,
help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
)
return parser.parse_args()
@ -111,4 +119,6 @@ if __name__ == "__main__":
logging.basicConfig(format=formatter, level=logging.INFO)
args = get_args()
compute_fbank_thchs30(num_mel_bins=args.num_mel_bins)
compute_fbank_thchs30(
num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
)

16
egs/multi_zh-hans/ASR/local/compute_fbank_primewords.py
View File

@ -43,7 +43,7 @@ torch.set_num_threads(1)
torch.set_num_interop_threads(1)
def compute_fbank_thchs30(num_mel_bins: int = 80):
def compute_fbank_thchs30(num_mel_bins: int = 80, speed_perturb: bool = False):
src_dir = Path("data/manifests/primewords")
output_dir = Path("data/fbank")
num_jobs = min(15, os.cpu_count())
@ -80,7 +80,9 @@ def compute_fbank_thchs30(num_mel_bins: int = 80):
)
if "train" in partition:
cut_set = (
cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
(cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1))
if speed_perturb
else cut_set
)
cut_set = cut_set.compute_and_store_features(
extractor=extractor,
@ -101,6 +103,12 @@ def get_args():
default=80,
help="""The number of mel bins for Fbank""",
)
parser.add_argument(
"--speed-perturb",
type=bool,
default=False,
help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
)
return parser.parse_args()
@ -111,4 +119,6 @@ if __name__ == "__main__":
logging.basicConfig(format=formatter, level=logging.INFO)
args = get_args()
compute_fbank_thchs30(num_mel_bins=args.num_mel_bins)
compute_fbank_thchs30(
num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
)

17
egs/multi_zh-hans/ASR/local/compute_fbank_stcmds.py
View File

@ -43,7 +43,7 @@ torch.set_num_threads(1)
torch.set_num_interop_threads(1)
def compute_fbank_thchs30(num_mel_bins: int = 80):
def compute_fbank_thchs30(num_mel_bins: int = 80, speed_perturb: bool = False):
src_dir = Path("data/manifests/stcmds")
output_dir = Path("data/fbank")
num_jobs = min(15, os.cpu_count())
@ -80,7 +80,9 @@ def compute_fbank_thchs30(num_mel_bins: int = 80):
)
if "train" in partition:
cut_set = (
cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
(cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1))
if speed_perturb
else cut_set
)
cut_set = cut_set.compute_and_store_features(
extractor=extractor,
@ -101,7 +103,12 @@ def get_args():
default=80,
help="""The number of mel bins for Fbank""",
)
parser.add_argument(
"--speed-perturb",
type=bool,
default=False,
help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
)
return parser.parse_args()
@ -111,4 +118,6 @@ if __name__ == "__main__":
logging.basicConfig(format=formatter, level=logging.INFO)
args = get_args()
compute_fbank_thchs30(num_mel_bins=args.num_mel_bins)
compute_fbank_thchs30(
num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
)

17
egs/multi_zh-hans/ASR/local/compute_fbank_thchs30.py
View File

@ -43,7 +43,7 @@ torch.set_num_threads(1)
torch.set_num_interop_threads(1)
def compute_fbank_thchs30(num_mel_bins: int = 80):
def compute_fbank_thchs30(num_mel_bins: int = 80, speed_perturb: bool = False):
src_dir = Path("data/manifests/thchs30")
output_dir = Path("data/fbank")
num_jobs = min(15, os.cpu_count())
@ -84,7 +84,9 @@ def compute_fbank_thchs30(num_mel_bins: int = 80):
)
if "train" in partition:
cut_set = (
cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
(cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1))
if speed_perturb
else cut_set
)
cut_set = cut_set.compute_and_store_features(
extractor=extractor,
@ -105,7 +107,12 @@ def get_args():
default=80,
help="""The number of mel bins for Fbank""",
)
parser.add_argument(
"--speed-perturb",
type=bool,
default=False,
help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
)
return parser.parse_args()
@ -115,4 +122,6 @@ if __name__ == "__main__":
logging.basicConfig(format=formatter, level=logging.INFO)
args = get_args()
compute_fbank_thchs30(num_mel_bins=args.num_mel_bins)
compute_fbank_thchs30(
num_mel_bins=args.num_mel_bins, speed_perturb=args.speed_perturb
)

30
egs/multi_zh-hans/ASR/local/preprocess_kespeech.py
View File

@ -16,6 +16,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
import logging
import re
from pathlib import Path
@ -45,7 +46,7 @@ def has_no_oov(
return oov_pattern.search(sup.text) is None
def preprocess_kespeech():
def preprocess_kespeech(speed_perturb: bool = False):
src_dir = Path("data/manifests/kespeech")
output_dir = Path("data/fbank/kespeech")
output_dir.mkdir(exist_ok=True)
@ -114,19 +115,34 @@ def preprocess_kespeech():
"dev_phase2",
"test",
]:
logging.info(
f"Speed perturb for {partition} with factors 0.9 and 1.1 "
"(Perturbing may take 8 minutes and saving may take 20 minutes)"
)
cut_set = cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
if speed_perturb:
logging.info(
f"Speed perturb for {partition} with factors 0.9 and 1.1 "
"(Perturbing may take 8 minutes and saving may take 20 minutes)"
)
cut_set = (
cut_set + cut_set.perturb_speed(0.9) + cut_set.perturb_speed(1.1)
)
logging.info(f"Saving to {raw_cuts_path}")
cut_set.to_file(raw_cuts_path)
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--speed-perturb",
type=bool,
default=False,
help="Enable 0.9 and 1.1 speed perturbation for data augmentation. Default: False.",
)
return parser.parse_args()
def main():
setup_logger(log_filename="./log-preprocess-kespeech")
preprocess_kespeech()
args = get_args()
preprocess_kespeech(speed_perturb=args.speed_perturb)
logging.info("Done")

128
egs/multi_zh-hans/ASR/zipformer/multi_dataset.py Normal file
View File

@ -0,0 +1,128 @@
# Copyright 2023 Xiaomi Corp. (authors: Zengrui Jin)
#
# 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.
import glob
import logging
import re
from pathlib import Path
import lhotse
from lhotse import CutSet, load_manifest_lazy
class MultiDataset:
def __init__(self, fbank_dir: str):
"""
Args:
manifest_dir:
It is expected to contain the following files:
- aidatatang_cuts_train.jsonl.gz
- aishell_cuts_train.jsonl.gz
- aishell2_cuts_train.jsonl.gz
- aishell4_cuts_train_L.jsonl.gz
- aishell4_cuts_train_M.jsonl.gz
- aishell4_cuts_train_S.jsonl.gz
- alimeeting-far_cuts_train.jsonl.gz
- cuts_L.jsonl.gz
- cuts_M.jsonl.gz
- cuts_S.jsonl.gz
- primewords_cuts_train.jsonl.gz
- stcmds_cuts_train.jsonl.gz
- thchs_30_cuts_train.jsonl.gz
"""
self.fbank_dir = Path(fbank_dir)
def train_cuts(self) -> CutSet:
logging.info("About to get multidataset train cuts")
# LibriSpeech
logging.info("Loading LibriSpeech in lazy mode")
librispeech_cuts = load_manifest_lazy(
self.fbank_dir / "librispeech_cuts_train-all-shuf.jsonl.gz"
)
# GigaSpeech
filenames = glob.glob(f"{self.fbank_dir}/XL_split/cuts_XL.*.jsonl.gz")
pattern = re.compile(r"cuts_XL.([0-9]+).jsonl.gz")
idx_filenames = ((int(pattern.search(f).group(1)), f) for f in filenames)
idx_filenames = sorted(idx_filenames, key=lambda x: x[0])
sorted_filenames = [f[1] for f in idx_filenames]
logging.info(f"Loading GigaSpeech {len(sorted_filenames)} splits in lazy mode")
gigaspeech_cuts = lhotse.combine(
lhotse.load_manifest_lazy(p) for p in sorted_filenames
)
# CommonVoice
logging.info("Loading CommonVoice in lazy mode")
commonvoice_cuts = load_manifest_lazy(
self.fbank_dir / f"cv-en_cuts_train.jsonl.gz"
)
# LibriHeavy
logging.info("Loading LibriHeavy in lazy mode")
libriheavy_small_cuts = load_manifest_lazy(
self.fbank_dir / "libriheavy_cuts_train_small.jsonl.gz"
)
libriheavy_medium_cuts = load_manifest_lazy(
self.fbank_dir / "libriheavy_cuts_train_medium.jsonl.gz"
)
libriheavy_cuts = lhotse.combine(libriheavy_small_cuts, libriheavy_medium_cuts)
return CutSet.mux(
librispeech_cuts,
gigaspeech_cuts,
commonvoice_cuts,
libriheavy_cuts,
weights=[
len(librispeech_cuts),
len(gigaspeech_cuts),
len(commonvoice_cuts),
len(libriheavy_cuts),
],
)
def test_cuts(self) -> CutSet:
logging.info("About to get multidataset test cuts")
# GigaSpeech
logging.info("Loading GigaSpeech DEV in lazy mode")
gigaspeech_dev_cuts = load_manifest_lazy(self.fbank_dir / "cuts_DEV.jsonl.gz")
logging.info("Loading GigaSpeech TEST in lazy mode")
gigaspeech_test_cuts = load_manifest_lazy(self.fbank_dir / "cuts_TEST.jsonl.gz")
# CommonVoice
logging.info("Loading CommonVoice DEV in lazy mode")
commonvoice_dev_cuts = load_manifest_lazy(
self.fbank_dir / "cv-en_cuts_dev.jsonl.gz"
)
logging.info("Loading CommonVoice TEST in lazy mode")
commonvoice_test_cuts = load_manifest_lazy(
self.fbank_dir / "cv-en_cuts_test.jsonl.gz"
)
return [
gigaspeech_dev_cuts,
gigaspeech_test_cuts,
commonvoice_dev_cuts,
commonvoice_test_cuts,
]