You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
130 lines
4.7 KiB
130 lines
4.7 KiB
# Copyright (c) 2021 PaddlePaddle Authors. 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.
|
|
"""Server-end for the ASR demo."""
|
|
import functools
|
|
|
|
import numpy as np
|
|
import paddle
|
|
from paddle.io import DataLoader
|
|
|
|
from deepspeech.exps.deepspeech2.config import get_cfg_defaults
|
|
from deepspeech.io.collator import SpeechCollator
|
|
from deepspeech.io.dataset import ManifestDataset
|
|
from deepspeech.models.deepspeech2 import DeepSpeech2Model
|
|
from deepspeech.training.cli import default_argument_parser
|
|
from deepspeech.utils.socket_server import AsrRequestHandler
|
|
from deepspeech.utils.socket_server import AsrTCPServer
|
|
from deepspeech.utils.socket_server import warm_up_test
|
|
from deepspeech.utils.utility import add_arguments
|
|
from deepspeech.utils.utility import print_arguments
|
|
|
|
|
|
def start_server(config, args):
|
|
"""Start the ASR server"""
|
|
config.defrost()
|
|
config.data.manifest = config.data.test_manifest
|
|
dataset = ManifestDataset.from_config(config)
|
|
|
|
config.collator.augmentation_config = ""
|
|
config.collator.keep_transcription_text = True
|
|
config.collator.batch_size = 1
|
|
config.collator.num_workers = 0
|
|
collate_fn = SpeechCollator.from_config(config)
|
|
test_loader = DataLoader(dataset, collate_fn=collate_fn, num_workers=0)
|
|
|
|
model = DeepSpeech2Model.from_pretrained(test_loader, config,
|
|
args.checkpoint_path)
|
|
model.eval()
|
|
|
|
# prepare ASR inference handler
|
|
def file_to_transcript(filename):
|
|
feature = test_loader.collate_fn.process_utterance(filename, "")
|
|
audio = np.array([feature[0]]).astype('float32') #[1, T, D]
|
|
# audio = audio.swapaxes(1,2)
|
|
print('---file_to_transcript feature----')
|
|
print(audio.shape)
|
|
audio_len = feature[0].shape[0]
|
|
print(audio_len)
|
|
audio_len = np.array([audio_len]).astype('int64') # [1]
|
|
|
|
result_transcript = model.decode(
|
|
paddle.to_tensor(audio),
|
|
paddle.to_tensor(audio_len),
|
|
vocab_list=test_loader.collate_fn.vocab_list,
|
|
decoding_method=config.decoding.decoding_method,
|
|
lang_model_path=config.decoding.lang_model_path,
|
|
beam_alpha=config.decoding.alpha,
|
|
beam_beta=config.decoding.beta,
|
|
beam_size=config.decoding.beam_size,
|
|
cutoff_prob=config.decoding.cutoff_prob,
|
|
cutoff_top_n=config.decoding.cutoff_top_n,
|
|
num_processes=config.decoding.num_proc_bsearch)
|
|
return result_transcript[0]
|
|
|
|
# warming up with utterrances sampled from Librispeech
|
|
print('-----------------------------------------------------------')
|
|
print('Warming up ...')
|
|
warm_up_test(
|
|
audio_process_handler=file_to_transcript,
|
|
manifest_path=args.warmup_manifest,
|
|
num_test_cases=3)
|
|
print('-----------------------------------------------------------')
|
|
|
|
# start the server
|
|
server = AsrTCPServer(
|
|
server_address=(args.host_ip, args.host_port),
|
|
RequestHandlerClass=AsrRequestHandler,
|
|
speech_save_dir=args.speech_save_dir,
|
|
audio_process_handler=file_to_transcript)
|
|
print("ASR Server Started.")
|
|
server.serve_forever()
|
|
|
|
|
|
def main(config, args):
|
|
start_server(config, args)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = default_argument_parser()
|
|
add_arg = functools.partial(add_arguments, argparser=parser)
|
|
# yapf: disable
|
|
add_arg('host_ip', str,
|
|
'localhost',
|
|
"Server's IP address.")
|
|
add_arg('host_port', int, 8088, "Server's IP port.")
|
|
add_arg('speech_save_dir', str,
|
|
'demo_cache',
|
|
"Directory to save demo audios.")
|
|
add_arg('warmup_manifest', str, None, "Filepath of manifest to warm up.")
|
|
args = parser.parse_args()
|
|
print_arguments(args, globals())
|
|
|
|
# https://yaml.org/type/float.html
|
|
config = get_cfg_defaults()
|
|
if args.config:
|
|
config.merge_from_file(args.config)
|
|
if args.opts:
|
|
config.merge_from_list(args.opts)
|
|
config.freeze()
|
|
print(config)
|
|
|
|
args.warmup_manifest = config.data.test_manifest
|
|
print_arguments(args, globals())
|
|
|
|
if args.dump_config:
|
|
with open(args.dump_config, 'w') as f:
|
|
print(config, file=f)
|
|
|
|
main(config, args)
|