import torch
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from funasr.models.e2e_vad import E2EVadModel
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from funasr.models.encoder.fsmn_encoder import FSMN
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from funasr.models.frontend.default import DefaultFrontend
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from funasr.models.frontend.fused import FusedFrontends
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from funasr.models.frontend.s3prl import S3prlFrontend
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from funasr.models.frontend.wav_frontend import WavFrontend, WavFrontendOnline
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from funasr.models.frontend.windowing import SlidingWindow
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from funasr.torch_utils.initialize import initialize
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from funasr.train.class_choices import ClassChoices
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frontend_choices = ClassChoices(
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name="frontend",
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classes=dict(
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default=DefaultFrontend,
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sliding_window=SlidingWindow,
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s3prl=S3prlFrontend,
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fused=FusedFrontends,
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wav_frontend=WavFrontend,
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wav_frontend_online=WavFrontendOnline,
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),
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default="default",
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)
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encoder_choices = ClassChoices(
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"encoder",
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classes=dict(
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fsmn=FSMN,
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),
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type_check=torch.nn.Module,
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default="fsmn",
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)
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model_choices = ClassChoices(
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"model",
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classes=dict(
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e2evad=E2EVadModel,
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),
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default="e2evad",
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)
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class_choices_list = [
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# --frontend and --frontend_conf
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frontend_choices,
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# --encoder and --encoder_conf
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encoder_choices,
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# --model and --model_conf
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model_choices,
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]
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def build_vad_model(args):
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# frontend
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if args.input_size is None:
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frontend_class = frontend_choices.get_class(args.frontend)
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if args.frontend == 'wav_frontend':
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frontend = frontend_class(cmvn_file=args.cmvn_file, **args.frontend_conf)
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else:
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frontend = frontend_class(**args.frontend_conf)
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input_size = frontend.output_size()
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else:
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args.frontend = None
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args.frontend_conf = {}
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frontend = None
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input_size = args.input_size
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# encoder
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encoder_class = encoder_choices.get_class(args.encoder)
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encoder = encoder_class(**args.encoder_conf)
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model_class = model_choices.get_class(args.model)
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model = model_class(encoder=encoder, vad_post_args=args.vad_post_conf, frontend=frontend)
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# initialize
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if args.init is not None:
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initialize(model, args.init)
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return model
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