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added text norm for other decoding scripts
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@ -122,7 +122,7 @@ import torch
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import torch.nn as nn
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import torch.nn as nn
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from asr_datamodule import LibriTTSAsrDataModule
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from asr_datamodule import LibriTTSAsrDataModule
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from lhotse import set_caching_enabled
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from lhotse import set_caching_enabled
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from train import add_model_arguments, get_model, get_params
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from train import add_model_arguments, get_model, get_params, normalize_text
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from icefall.checkpoint import (
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from icefall.checkpoint import (
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average_checkpoints,
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average_checkpoints,
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@ -949,13 +949,13 @@ def main():
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# we need cut ids to display recognition results.
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# we need cut ids to display recognition results.
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args.return_cuts = True
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args.return_cuts = True
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librispeech = LibriTTSAsrDataModule(args)
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libritts = LibriTTSAsrDataModule(args)
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test_clean_cuts = librispeech.test_clean_cuts()
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test_clean_cuts = libritts.test_clean_cuts().map(normalize_text)
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test_other_cuts = librispeech.test_other_cuts()
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test_other_cuts = libritts.test_other_cuts().map(normalize_text)
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test_clean_dl = librispeech.test_dataloaders(test_clean_cuts)
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test_clean_dl = libritts.test_dataloaders(test_clean_cuts)
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test_other_dl = librispeech.test_dataloaders(test_other_cuts)
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test_other_dl = libritts.test_dataloaders(test_other_cuts)
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test_sets = ["test-clean", "test-other"]
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test_sets = ["test-clean", "test-other"]
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test_dl = [test_clean_dl, test_other_dl]
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test_dl = [test_clean_dl, test_other_dl]
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@ -80,6 +80,7 @@ import torch.nn as nn
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from asr_datamodule import LibriTTSAsrDataModule
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from asr_datamodule import LibriTTSAsrDataModule
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from k2 import SymbolTable
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from k2 import SymbolTable
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from onnx_pretrained import OnnxModel, greedy_search
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from onnx_pretrained import OnnxModel, greedy_search
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from train import normalize_text
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from icefall.utils import setup_logger, store_transcripts, write_error_stats
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from icefall.utils import setup_logger, store_transcripts, write_error_stats
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@ -290,13 +291,13 @@ def main():
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# we need cut ids to display recognition results.
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# we need cut ids to display recognition results.
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args.return_cuts = True
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args.return_cuts = True
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librispeech = LibriTTSAsrDataModule(args)
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libritts = LibriTTSAsrDataModule(args)
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test_clean_cuts = librispeech.test_clean_cuts()
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test_clean_cuts = libritts.test_clean_cuts().map(normalize_text)
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test_other_cuts = librispeech.test_other_cuts()
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test_other_cuts = libritts.test_other_cuts().map(normalize_text)
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test_clean_dl = librispeech.test_dataloaders(test_clean_cuts)
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test_clean_dl = libritts.test_dataloaders(test_clean_cuts)
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test_other_dl = librispeech.test_dataloaders(test_other_cuts)
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test_other_dl = libritts.test_dataloaders(test_other_cuts)
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test_sets = ["test-clean", "test-other"]
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test_sets = ["test-clean", "test-other"]
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test_dl = [test_clean_dl, test_other_dl]
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test_dl = [test_clean_dl, test_other_dl]
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@ -52,7 +52,7 @@ from streaming_beam_search import (
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)
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)
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from torch import Tensor, nn
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from torch import Tensor, nn
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from torch.nn.utils.rnn import pad_sequence
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from torch.nn.utils.rnn import pad_sequence
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from train import add_model_arguments, get_model, get_params
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from train import add_model_arguments, get_model, get_params, normalize_text
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from icefall.checkpoint import (
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from icefall.checkpoint import (
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average_checkpoints,
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average_checkpoints,
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@ -866,8 +866,8 @@ def main():
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libritts = LibriTTSAsrDataModule(args)
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libritts = LibriTTSAsrDataModule(args)
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test_clean_cuts = libritts.test_clean_cuts()
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test_clean_cuts = libritts.test_clean_cuts().map(normalize_text)
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test_other_cuts = libritts.test_other_cuts()
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test_other_cuts = libritts.test_other_cuts().map(normalize_text)
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test_sets = ["test-clean", "test-other"]
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test_sets = ["test-clean", "test-other"]
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test_cuts = [test_clean_cuts, test_other_cuts]
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test_cuts = [test_clean_cuts, test_other_cuts]
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