mirror of
https://github.com/modelscope/modelscope.git
synced 2026-07-10 20:39:53 +02:00
c8c1b7f1a8
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11403205 * support asr new models & vad-punc models
49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
|
|
|
|
import os
|
|
import shutil
|
|
import tempfile
|
|
import unittest
|
|
|
|
from modelscope.metainfo import Trainers
|
|
from modelscope.msdatasets import MsDataset
|
|
from modelscope.trainers import build_trainer
|
|
from modelscope.utils.audio.audio_utils import TtsTrainType
|
|
from modelscope.utils.constant import DownloadMode, Fields, Tasks
|
|
from modelscope.utils.logger import get_logger
|
|
from modelscope.utils.test_utils import test_level
|
|
|
|
logger = get_logger()
|
|
|
|
|
|
class TestASRTrainer(unittest.TestCase):
|
|
|
|
def setUp(self):
|
|
self.tmp_dir = tempfile.TemporaryDirectory().name
|
|
if not os.path.exists(self.tmp_dir):
|
|
os.makedirs(self.tmp_dir)
|
|
|
|
self.model_id = 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'
|
|
self.dataset_id = 'speech_asr_aishell1_trainsets'
|
|
self.dataset_namespace = 'speech_asr'
|
|
|
|
def tearDown(self):
|
|
shutil.rmtree(self.tmp_dir, ignore_errors=True)
|
|
super().tearDown()
|
|
|
|
@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
|
|
def test_trainer(self):
|
|
ds_dict = MsDataset.load(
|
|
self.dataset_id, namespace=self.dataset_namespace)
|
|
kwargs = dict(
|
|
model=self.model_id, work_dir=self.tmp_dir, data_dir=ds_dict)
|
|
trainer = build_trainer(
|
|
Trainers.speech_asr_trainer, default_args=kwargs)
|
|
trainer.train()
|
|
result_model = os.path.join(self.tmp_dir, 'valid.acc.best.pth')
|
|
assert os.path.exists(result_model)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|