repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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a3t-dev_richard | a3t-dev_richard/espnet2/diar/decoder/linear_decoder.py | import torch
from espnet2.diar.decoder.abs_decoder import AbsDecoder
class LinearDecoder(AbsDecoder):
"""Linear decoder for speaker diarization"""
def __init__(
self,
encoder_output_size: int,
num_spk: int = 2,
):
super().__init__()
self._num_spk = num_spk
... | 754 | 21.878788 | 75 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/diar/decoder/abs_decoder.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
class AbsDecoder(torch.nn.Module, ABC):
@abstractmethod
def forward(
self,
input: torch.Tensor,
ilens: torch.Tensor,
) -> Tuple[torch.Tensor, torch.Tensor]:
raise NotImplementedError
... | 411 | 18.619048 | 43 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/inversible_interface.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
class InversibleInterface(ABC):
@abstractmethod
def inverse(
self, input: torch.Tensor, input_lengths: torch.Tensor = None
) -> Tuple[torch.Tensor, torch.Tensor]:
# return output, output_lengths
... | 349 | 22.333333 | 69 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/stft.py | from distutils.version import LooseVersion
from typing import Optional
from typing import Tuple
from typing import Union
import torch
from torch_complex.tensor import ComplexTensor
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet2.enh.layers.compl... | 6,159 | 32.661202 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/global_mvn.py | from pathlib import Path
from typing import Tuple
from typing import Union
import numpy as np
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet2.layers.abs_normalize import AbsNormalize
from espnet2.layers.inversible_interface import I... | 3,518 | 27.844262 | 71 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/utterance_mvn.py | from typing import Tuple
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet2.layers.abs_normalize import AbsNormalize
class UtteranceMVN(AbsNormalize):
def __init__(
self,
norm_means: bool = True,
norm_vars... | 2,323 | 25.11236 | 83 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/mask_along_axis.py | import torch
from typeguard import check_argument_types
from typing import Sequence
from typing import Union
def mask_along_axis(
spec: torch.Tensor,
spec_lengths: torch.Tensor,
mask_width_range: Sequence[int] = (0, 30),
dim: int = 1,
num_mask: int = 2,
replace_with_zero: bool = True,
):
"... | 3,725 | 27.883721 | 81 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/label_aggregation.py | import torch
from typeguard import check_argument_types
from typing import Optional
from typing import Tuple
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
class LabelAggregate(torch.nn.Module):
def __init__(
self,
win_length: int = 512,
hop_length: int = 128,
ce... | 2,536 | 29.566265 | 83 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/log_mel.py | import librosa
import torch
from typing import Tuple
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
class LogMel(torch.nn.Module):
"""Convert STFT to fbank feats
The arguments is same as librosa.filters.mel
Args:
fs: number > 0 [scalar] sampling rate of the incoming signal
... | 2,577 | 29.690476 | 74 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/abs_normalize.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
class AbsNormalize(torch.nn.Module, ABC):
@abstractmethod
def forward(
self, input: torch.Tensor, input_lengths: torch.Tensor = None
) -> Tuple[torch.Tensor, torch.Tensor]:
# return output, output_len... | 359 | 23 | 69 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/sinc_conv.py | #!/usr/bin/env python3
# 2020, Technische Universität München; Ludwig Kürzinger
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Sinc convolutions."""
import math
import torch
from typeguard import check_argument_types
from typing import Union
class LogCompression(torch.nn.Module):
"""Log Compres... | 9,027 | 31.948905 | 84 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/layers/time_warp.py | """Time warp module."""
import torch
from espnet.nets.pytorch_backend.nets_utils import pad_list
DEFAULT_TIME_WARP_MODE = "bicubic"
def time_warp(x: torch.Tensor, window: int = 80, mode: str = DEFAULT_TIME_WARP_MODE):
"""Time warping using torch.interpolate.
Args:
x: (Batch, Time, Freq)
win... | 2,526 | 27.393258 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/abs_gan_espnet_model.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""ESPnetModel abstract class for GAN-based training."""
from abc import ABC
from abc import abstractmethod
from typing import Dict
from typing import Union
import torch
from espnet2.train.abs_espnet_model import AbsESPnetMo... | 2,946 | 39.369863 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/reporter.py | """Reporter module."""
from collections import defaultdict
from contextlib import contextmanager
import dataclasses
import datetime
from distutils.version import LooseVersion
import logging
from pathlib import Path
import time
from typing import ContextManager
from typing import Dict
from typing import List
from typing... | 19,600 | 32.736661 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/dataset.py | from abc import ABC
from abc import abstractmethod
import collections
import copy
import functools
import logging
import numbers
import re
from typing import Any
from typing import Callable
from typing import Collection
from typing import Dict
from typing import Mapping
from typing import Tuple
from typing import Union... | 15,178 | 32.433921 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/gan_trainer.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Trainer module for GAN-based training."""
import argparse
import dataclasses
import logging
import time
from contextlib import contextmanager
from distutils.version import LooseVersion
from typing import Dict
from typing i... | 15,357 | 39.954667 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/distributed_utils.py | import dataclasses
import os
import socket
from typing import Optional
import torch
import torch.distributed
@dataclasses.dataclass
class DistributedOption:
# Enable distributed Training
distributed: bool = False
# torch.distributed.Backend: "nccl", "mpi", "gloo", or "tcp"
dist_backend: str = "nccl"
... | 13,914 | 36.506739 | 99 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/iterable_dataset.py | """Iterable dataset module."""
import copy
from io import StringIO
from pathlib import Path
from typing import Callable
from typing import Collection
from typing import Dict
from typing import Iterator
from typing import Tuple
from typing import Union
import kaldiio
import numpy as np
import soundfile
import torch
fro... | 8,341 | 34.05042 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/collate_fn.py | from typing import Collection
from typing import Dict
from typing import List
from typing import Tuple
from typing import Union
import numpy as np
import torch
from typeguard import check_argument_types
from typeguard import check_return_type
import math
from espnet.nets.pytorch_backend.nets_utils import pad_list, mak... | 18,595 | 39.514161 | 227 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/trainer.py | """Trainer module."""
import argparse
from contextlib import contextmanager
import dataclasses
from dataclasses import is_dataclass
from distutils.version import LooseVersion
import logging
from pathlib import Path
import time
from typing import Dict
from typing import Iterable
from typing import List
from typing impor... | 34,379 | 40.026253 | 115 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/train/abs_espnet_model.py | from abc import ABC
from abc import abstractmethod
from typing import Dict
from typing import Tuple
import torch
class AbsESPnetModel(torch.nn.Module, ABC):
"""The common abstract class among each tasks
"ESPnetModel" is referred to a class which inherits torch.nn.Module,
and makes the dnn-models forward... | 1,399 | 31.55814 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/samplers/abs_sampler.py | from abc import ABC
from abc import abstractmethod
from typing import Iterator
from typing import Tuple
from torch.utils.data import Sampler
class AbsSampler(Sampler, ABC):
@abstractmethod
def __len__(self) -> int:
raise NotImplementedError
@abstractmethod
def __iter__(self) -> Iterator[Tupl... | 425 | 20.3 | 52 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/espnet_model.py | from contextlib import contextmanager
from distutils.version import LooseVersion
import logging
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import torch
import math
import numpy as np
from typeguard import check_argument_types
from espn... | 35,903 | 40.316456 | 243 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/ctc.py | import logging
import torch
import torch.nn.functional as F
from typeguard import check_argument_types
class CTC(torch.nn.Module):
"""CTC module.
Args:
odim: dimension of outputs
encoder_output_sizse: number of encoder projection units
dropout_rate: dropout rate (0.0 ~ 1.0)
c... | 5,708 | 33.810976 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/postencoder/abs_postencoder.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
class AbsPostEncoder(torch.nn.Module, ABC):
@abstractmethod
def output_size(self) -> int:
raise NotImplementedError
@abstractmethod
def forward(
self, input: torch.Tensor, input_lengths: torch.Te... | 403 | 21.444444 | 62 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/postencoder/hugging_face_transformers_postencoder.py | #!/usr/bin/env python3
# 2021, University of Stuttgart; Pavel Denisov
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Hugging Face Transformers PostEncoder."""
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet2.asr.postencoder.abs_postencoder import AbsPostEncoder
from tran... | 3,208 | 30.15534 | 77 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/specaug/specaug.py | """SpecAugment module."""
from typing import Sequence
from typing import Union
from espnet2.asr.specaug.abs_specaug import AbsSpecAug
from espnet2.layers.mask_along_axis import MaskAlongAxis
from espnet2.layers.time_warp import TimeWarp
class SpecAug(AbsSpecAug):
"""Implementation of SpecAug.
Reference:
... | 2,436 | 31.065789 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/specaug/abs_specaug.py | from typing import Optional
from typing import Tuple
import torch
class AbsSpecAug(torch.nn.Module):
"""Abstract class for the augmentation of spectrogram
The process-flow:
Frontend -> SpecAug -> Normalization -> Encoder -> Decoder
"""
def forward(
self, x: torch.Tensor, x_lengths: to... | 426 | 21.473684 | 63 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/frontend/s3prl.py | from argparse import Namespace
import copy
import logging
import os
from typing import Optional
from typing import Tuple
from typing import Union
import humanfriendly
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.frontends.frontend import Frontend
from espnet.nets.pytorch_ba... | 4,012 | 32.165289 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/frontend/windowing.py | #!/usr/bin/env python3
# 2020, Technische Universität München; Ludwig Kürzinger
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Sliding Window for raw audio input data."""
from espnet2.asr.frontend.abs_frontend import AbsFrontend
import torch
from typeguard import check_argument_types
from typing imp... | 2,812 | 33.304878 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/frontend/default.py | import copy
from typing import Optional
from typing import Tuple
from typing import Union
import humanfriendly
import numpy as np
import torch
from torch_complex.tensor import ComplexTensor
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.frontends.frontend import Frontend
from espnet2.asr.... | 4,381 | 32.19697 | 77 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/frontend/abs_frontend.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
class AbsFrontend(torch.nn.Module, ABC):
@abstractmethod
def output_size(self) -> int:
raise NotImplementedError
@abstractmethod
def forward(
self, input: torch.Tensor, input_lengths: torch.Tenso... | 400 | 21.277778 | 62 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/preencoder/linear.py | #!/usr/bin/env python3
# 2021, Carnegie Mellon University; Xuankai Chang
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Linear Projection."""
from espnet2.asr.preencoder.abs_preencoder import AbsPreEncoder
from typeguard import check_argument_types
from typing import Tuple
import torch
class Line... | 1,040 | 25.692308 | 66 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/preencoder/abs_preencoder.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
class AbsPreEncoder(torch.nn.Module, ABC):
@abstractmethod
def output_size(self) -> int:
raise NotImplementedError
@abstractmethod
def forward(
self, input: torch.Tensor, input_lengths: torch.Ten... | 402 | 21.388889 | 62 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/preencoder/sinc.py | #!/usr/bin/env python3
# 2020, Technische Universität München; Ludwig Kürzinger
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Sinc convolutions for raw audio input."""
from collections import OrderedDict
from espnet2.asr.preencoder.abs_preencoder import AbsPreEncoder
from espnet2.layers.sinc_conv i... | 10,292 | 35.371025 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/hubert_encoder.py | # Copyright 2021 Tianzi Wang
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0
# Thanks to Abdelrahman Mohamed and Wei-Ning Hsu's help in this implementation,
# Their origial Hubert work is in:
# Paper: https://arxiv.org/pdf/2106.07447.pdf
# Code in Fairseq: https://github.com/pytorch/fairseq/tree/mast... | 13,543 | 33.55102 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/rnn_encoder.py | from typing import Optional
from typing import Sequence
from typing import Tuple
import numpy as np
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_backend.rnn.encoders import RNN
from espnet.nets.pytorch_backend.rnn.enc... | 3,671 | 30.655172 | 80 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/contextual_block_transformer_encoder.py | # Copyright 2020 Emiru Tsunoo
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder definition."""
from typing import Optional
from typing import Tuple
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_ba... | 12,541 | 37.237805 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/conformer_encoder.py | # Copyright 2020 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Conformer encoder definition."""
from typing import Optional
from typing import Tuple
import logging
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.conformer.convolution import C... | 13,189 | 41.006369 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/transformer_encoder.py | # Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder definition."""
from typing import Optional
from typing import Tuple
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_... | 7,808 | 40.1 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/vgg_rnn_encoder.py | from typing import Tuple
import numpy as np
import torch
from typeguard import check_argument_types
from espnet.nets.e2e_asr_common import get_vgg2l_odim
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_backend.rnn.encoders import RNN
from espnet.nets.pytorch_backend.rnn.encod... | 3,517 | 31.878505 | 80 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/mlm_encoder.py | # Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder definition."""
from typing import Optional
from typing import Tuple
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_... | 13,502 | 41.731013 | 156 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/abs_encoder.py | from abc import ABC
from abc import abstractmethod
from typing import Optional
from typing import Tuple
import torch
class AbsEncoder(torch.nn.Module, ABC):
@abstractmethod
def output_size(self) -> int:
raise NotImplementedError
@abstractmethod
def forward(
self,
xs_pad: torc... | 503 | 21.909091 | 67 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/encoder/wav2vec2_encoder.py | # Copyright 2021 Xuankai Chang
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Encoder definition."""
import contextlib
import copy
from filelock import FileLock
import logging
import os
from typing import Optional
from typing import Tuple
import torch
from typeguard import check_argument_types
from e... | 5,610 | 32.201183 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/decoder/rnn_decoder.py | import random
import numpy as np
import torch
import torch.nn.functional as F
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_backend.nets_utils import to_device
from espnet.nets.pytorch_backend.rnn.attentions import initial_att
from... | 12,171 | 35.334328 | 81 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/decoder/transformer_decoder.py | # Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Decoder definition."""
from typing import Any
from typing import List
from typing import Sequence
from typing import Tuple
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils... | 19,423 | 36.210728 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/asr/decoder/abs_decoder.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
from espnet.nets.scorer_interface import ScorerInterface
class AbsDecoder(torch.nn.Module, ScorerInterface, ABC):
@abstractmethod
def forward(
self,
hs_pad: torch.Tensor,
hlens: torch.Tensor,
... | 462 | 22.15 | 56 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/lm/espnet_model.py | from typing import Dict
from typing import Tuple
import torch
import torch.nn.functional as F
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet2.lm.abs_model import AbsLM
from espnet2.torch_utils.device_funcs import force_gatherable
from espnet2.tr... | 2,482 | 34.985507 | 84 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/lm/seq_rnn_lm.py | """Sequential implementation of Recurrent Neural Network Language Model."""
from typing import Tuple
from typing import Union
import torch
import torch.nn as nn
from typeguard import check_argument_types
from espnet2.lm.abs_model import AbsLM
class SequentialRNNLM(AbsLM):
"""Sequential RNNLM.
See also:
... | 5,484 | 32.445122 | 118 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/lm/transformer_lm.py | from typing import Any
from typing import List
from typing import Tuple
import torch
import torch.nn as nn
from espnet.nets.pytorch_backend.transformer.embedding import PositionalEncoding
from espnet.nets.pytorch_backend.transformer.encoder import Encoder
from espnet.nets.pytorch_backend.transformer.mask import subse... | 4,275 | 31.393939 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/lm/abs_model.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
from espnet.nets.scorer_interface import BatchScorerInterface
class AbsLM(torch.nn.Module, BatchScorerInterface, ABC):
"""The abstract LM class
To share the loss calculation way among different models,
We uses dele... | 762 | 24.433333 | 66 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/iterators/sequence_iter_factory.py | from typing import Any
from typing import Sequence
from typing import Union
import numpy as np
from torch.utils.data import DataLoader
from typeguard import check_argument_types
from espnet2.iterators.abs_iter_factory import AbsIterFactory
from espnet2.samplers.abs_sampler import AbsSampler
class RawSampler(AbsSamp... | 5,364 | 35.746575 | 90 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/iterators/chunk_iter_factory.py | import logging
from typing import Any
from typing import Dict
from typing import Iterator
from typing import List
from typing import Sequence
from typing import Tuple
from typing import Union
import numpy as np
import torch
from typeguard import check_argument_types
from espnet2.iterators.abs_iter_factory import AbsI... | 7,811 | 35.166667 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/espnet_model.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Text-to-speech ESPnet model."""
from contextlib import contextmanager
from distutils.version import LooseVersion
from typing import Dict
from typing import Optional
from typing import Tuple
import torch... | 12,383 | 39.07767 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/abs_tts.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Text-to-speech abstrast class."""
from abc import ABC
from abc import abstractmethod
from typing import Dict
from typing import Tuple
import torch
class AbsTTS(torch.nn.Module, ABC):
"""TTS abstract class."""
@a... | 1,146 | 23.404255 | 68 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/tacotron2/tacotron2.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Tacotron 2 related modules for ESPnet2."""
import logging
from typing import Dict
from typing import Optional
from typing import Sequence
from typing import Tuple
import torch
import torch.nn.functiona... | 21,228 | 38.829268 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/fastspeech/fastspeech.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Fastspeech related modules for ESPnet2."""
import logging
from typing import Dict
from typing import Optional
from typing import Sequence
from typing import Tuple
import torch
import torch.nn.functiona... | 29,911 | 41.129577 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/fastspeech2/loss.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Fastspeech2 related loss module for ESPnet2."""
from typing import Tuple
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.fastspeech.duration_predictor import (... | 5,332 | 40.664063 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/fastspeech2/variance_predictor.py | #!/usr/bin/env python3
# Copyright 2020 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Variance predictor related modules."""
import torch
from typeguard import check_argument_types
from espnet.nets.pytorch_backend.transformer.layer_norm import LayerNorm
class VariancePredictor(tor... | 2,625 | 28.840909 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/fastspeech2/fastspeech2.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Fastspeech2 related modules for ESPnet2."""
import logging
from typing import Dict
from typing import Optional
from typing import Sequence
from typing import Tuple
import torch
import torch.nn.function... | 36,189 | 41.930012 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/feats_extract/energy.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Energy extractor."""
from typing import Any
from typing import Dict
from typing import Tuple
from typing import Union
import humanfriendly
import torch
import torch.nn.functional as F
from typeguard im... | 4,788 | 32.256944 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/feats_extract/abs_feats_extract.py | from abc import ABC
from abc import abstractmethod
from typing import Any
from typing import Dict
import torch
from typing import Tuple
class AbsFeatsExtract(torch.nn.Module, ABC):
@abstractmethod
def output_size(self) -> int:
raise NotImplementedError
@abstractmethod
def get_parameters(self... | 554 | 22.125 | 62 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/feats_extract/log_spectrogram.py | from typing import Any
from typing import Dict
from typing import Optional
from typing import Tuple
import torch
from typeguard import check_argument_types
from espnet2.layers.stft import Stft
from espnet2.tts.feats_extract.abs_feats_extract import AbsFeatsExtract
class LogSpectrogram(AbsFeatsExtract):
"""Conve... | 2,298 | 28.857143 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/feats_extract/linear_spectrogram.py | from typing import Any
from typing import Dict
from typing import Optional
from typing import Tuple
import torch
from typeguard import check_argument_types
from espnet2.layers.stft import Stft
from espnet2.tts.feats_extract.abs_feats_extract import AbsFeatsExtract
class LinearSpectrogram(AbsFeatsExtract):
"""Li... | 2,146 | 28.410959 | 71 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/feats_extract/log_mel_fbank.py | from typing import Any
from typing import Dict
from typing import Optional
from typing import Tuple
from typing import Union
import humanfriendly
import torch
from typeguard import check_argument_types
from espnet2.layers.log_mel import LogMel
from espnet2.layers.stft import Stft
from espnet2.tts.feats_extract.abs_fe... | 3,116 | 28.130841 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/feats_extract/dio.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""F0 extractor using DIO + Stonemask algorithm."""
import logging
from typing import Any
from typing import Dict
from typing import Tuple
from typing import Union
import humanfriendly
import numpy as np
... | 6,280 | 32.409574 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/utils/duration_calculator.py | # -*- coding: utf-8 -*-
# Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Duration calculator for ESPnet2."""
from typing import Tuple
import torch
class DurationCalculator(torch.nn.Module):
"""Duration calculator module."""
@torch.no_grad(... | 2,291 | 33.727273 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/utils/parallel_wavegan_pretrained_vocoder.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Wrapper class for the vocoder model trained with parallel_wavegan repo."""
import logging
import os
from pathlib import Path
from typing import Optional
from typing import Union
import yaml
import torch
class ParallelW... | 1,941 | 29.34375 | 79 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/gst/style_encoder.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Style encoder of GST-Tacotron."""
from typeguard import check_argument_types
from typing import Sequence
import torch
from espnet.nets.pytorch_backend.transformer.attention import (
MultiHeadedAtte... | 10,109 | 36.032967 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/transformer/transformer.py | # Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Transformer-TTS related modules."""
from typing import Dict
from typing import Optional
from typing import Sequence
from typing import Tuple
import torch
import torch.nn.functional as F
from typeguard ... | 35,126 | 40.472255 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tts/sedit/sedit_model.py | from contextlib import contextmanager
from distutils.version import LooseVersion
import logging
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import torch
import math
import numpy as np
from typeguard import check_argument_types
from espn... | 24,888 | 43.52415 | 284 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/optimizers/sgd.py | import torch
from typeguard import check_argument_types
class SGD(torch.optim.SGD):
"""Thin inheritance of torch.optim.SGD to bind the required arguments, 'lr'
Note that
the arguments of the optimizer invoked by AbsTask.main()
must have default value except for 'param'.
I can't understand why on... | 828 | 24.121212 | 79 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/schedulers/noam_lr.py | """Noam learning rate scheduler module."""
from typing import Union
import warnings
import torch
from torch.optim.lr_scheduler import _LRScheduler
from typeguard import check_argument_types
from espnet2.schedulers.abs_scheduler import AbsBatchStepScheduler
class NoamLR(_LRScheduler, AbsBatchStepScheduler):
"""T... | 2,078 | 30.5 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/schedulers/abs_scheduler.py | from abc import ABC
from abc import abstractmethod
import torch.optim.lr_scheduler as L
class AbsScheduler(ABC):
@abstractmethod
def step(self, epoch: int = None):
pass
@abstractmethod
def state_dict(self):
pass
@abstractmethod
def load_state_dict(self, state):
pass
... | 1,679 | 18.764706 | 70 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/schedulers/warmup_lr.py | """Warm up learning rate scheduler module."""
from typing import Union
import torch
from torch.optim.lr_scheduler import _LRScheduler
from typeguard import check_argument_types
from espnet2.schedulers.abs_scheduler import AbsBatchStepScheduler
class WarmupLR(_LRScheduler, AbsBatchStepScheduler):
"""The WarmupLR... | 1,501 | 28.45098 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/utils/sized_dict.py | import collections
import sys
from torch import multiprocessing
def get_size(obj, seen=None):
"""Recursively finds size of objects
Taken from https://github.com/bosswissam/pysize
"""
size = sys.getsizeof(obj)
if seen is None:
seen = set()
obj_id = id(obj)
if obj_id in seen:
... | 2,027 | 25.684211 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/utils/griffin_lim.py | #!/usr/bin/env python3
"""Griffin-Lim related modules."""
# Copyright 2019 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import logging
from distutils.version import LooseVersion
from functools import partial
from typeguard import check_argument_types
from typing import Optional
import... | 5,592 | 28.282723 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/mlm.py | import argparse
import logging
from typing import Callable
from typing import Collection
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
from pathlib import Path
import copy
import functools
import yaml
import numpy as np
import torch
from t... | 26,037 | 37.234949 | 216 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/hubert.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Thanks to Abdelrahman Mohamed and Wei-Ning Hsu's help in this implementation,
# Their origial Hubert work is in:
# Paper: https://arxiv.org/pdf/2106.07447.pdf
# Code in Fairseq: https://github.com/pytorch/fairseq/tree/master/examples/hubert
import argparse
impor... | 13,464 | 32.246914 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/enh_asr.py | import argparse
import logging
from typing import Callable
from typing import Collection
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
import numpy as np
import torch
from typeguard import check_argument_types
from typeguard import check_return_type
from espnet2.... | 12,352 | 32.386486 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/diar.py | import argparse
from typing import Callable
from typing import Collection
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
import numpy as np
import torch
from typeguard import check_argument_types
from typeguard import check_return_type
from espnet2.asr.encoder.abs... | 8,385 | 31.63035 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/asr.py | import argparse
import logging
from typing import Callable
from typing import Collection
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
import numpy as np
import torch
from typeguard import check_argument_types
from typeguard import check_return_type
from espnet2.... | 16,312 | 33.271008 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/lm.py | import argparse
import logging
from typing import Callable
from typing import Collection
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
import numpy as np
import torch
from typeguard import check_argument_types
from typeguard import check_return_type
from espnet2.... | 6,947 | 31.166667 | 84 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/tts.py | """Text-to-speech task."""
import argparse
import logging
import yaml
from pathlib import Path
from typing import Callable
from typing import Collection
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import numpy as np
import torch
from ... | 14,110 | 34.10199 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/enh.py | import argparse
from typing import Callable
from typing import Collection
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
import numpy as np
import torch
from typeguard import check_argument_types
from typeguard import check_return_type
from espnet2.enh.decoder.abs... | 6,667 | 33.020408 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/gan_tts.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""GAN-based text-to-speech task."""
import argparse
import logging
from typing import Callable
from typing import Collection
from typing import Dict
from typing import List
from typing import Optional
from typing import Tupl... | 13,631 | 32.087379 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/tasks/abs_task.py | """Abstract task module."""
from abc import ABC
from abc import abstractmethod
import argparse
from dataclasses import dataclass
from distutils.version import LooseVersion
import functools
import logging
import os
from pathlib import Path
import sys
from typing import Any
from typing import Callable
from typing import ... | 67,592 | 36.406198 | 150 | py |
a3t-dev_richard | a3t-dev_richard/utils/generate_wav_from_fbank.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""This code is based on https://github.com/kan-bayashi/PytorchWaveNetVocoder."""
# Copyright 2019 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import argparse
import logging
import os
import time
import h5py
import num... | 6,061 | 30.572917 | 87 | py |
a3t-dev_richard | a3t-dev_richard/utils/average_checkpoints.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import json
import os
import numpy as np
def main():
if args.log is not None:
with open(args.log) as f:
logs = json.load(f)
val_scores = []
for log in logs:
if log["epoch"] > args.max_epoch:
... | 4,882 | 34.384058 | 88 | py |
a3t-dev_richard | a3t-dev_richard/egs/wsj/asr1/local/filtering_samples.py | #!/usr/bin/env python3
# Copyright 2020 Shanghai Jiao Tong University (Wangyou Zhang)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
from functools import reduce
import json
from operator import mul
import sys
from espnet.bin.asr_train import get_parser
from espnet.nets.pytorch_backend.nets_utils impor... | 2,984 | 32.920455 | 86 | py |
a3t-dev_richard | a3t-dev_richard/aggregate_output/sedit_mcd.py | import types
import sys
# Having trouble importing sentencepiece for some reason...
# Just mock it for now...
sp = types.ModuleType("sentencepiece")
sp.__spec__ = "spec"
sys.modules["sentencepiece"] = sp
import os
from espnet2.bin.sedit_inference import *
from espnet2.torch_utils.device_funcs import to_device
import... | 17,439 | 55.258065 | 405 | py |
a3t-dev_richard | a3t-dev_richard/aggregate_output/generate_spk2xv.py | import kaldiio,os
from tqdm import tqdm
import torch
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
datasets=['tr_no_dev','dev','eval1']
spk2xvector = {}
for dataset in datasets:
xv_path = f'{SCRIPT_DIR}/../egs2/vctk/tts1/dump/xvector/{dataset}/xvector.scp'
new_xv_path = f'{SCRIPT_DIR}/../egs2/vctk/t... | 1,684 | 38.186047 | 105 | py |
a3t-dev_richard | a3t-dev_richard/doc/conf.py | # -*- coding: utf-8 -*-
# flake8: noqa
#
# ESPnet documentation build configuration file, created by
# sphinx-quickstart on Thu Dec 7 15:46:00 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerat... | 6,437 | 29.225352 | 83 | py |
a3t-dev_richard | a3t-dev_richard/egs2/TEMPLATE/ssl1/pyscripts/feature_loader.py | # -*- coding: utf-8 -*-
# The feature_loader.py uses code from Fairseq:
# https://github.com/pytorch/fairseq/blob/master/examples/hubert/simple_kmeans/dump_mfcc_feature.py
#
# Thanks to Abdelrahman Mohamed and Wei-Ning Hsu's help in this implementation,
# Their origial Hubert work is in:
# Paper: https://arxiv.... | 3,085 | 31.484211 | 103 | py |
a3t-dev_richard | a3t-dev_richard/egs2/TEMPLATE/ssl1/pyscripts/dump_km_label.py | import argparse
import logging
import os
import sys
import numpy as np
import joblib
import torch
import tqdm
import pdb
from sklearn_km import (MfccFeatureReader, get_path_iterator, HubertFeatureReader)
logging.basicConfig(
level=logging.DEBUG,
format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(m... | 4,182 | 30.451128 | 85 | py |
a3t-dev_richard | a3t-dev_richard/egs2/TEMPLATE/ssl1/pyscripts/sklearn_km.py | # The sklearn_km.py uses code from Fairseq:
# https://github.com/pytorch/fairseq/blob/master/examples/hubert/simple_kmeans/learn_kmeans.py
#
# Thanks to Abdelrahman Mohamed and Wei-Ning Hsu's help in this implementation,
# Their origial Hubert work is in:
# Paper: https://arxiv.org/pdf/2106.07447.pdf
# Code... | 6,468 | 27.879464 | 98 | py |
a3t-dev_richard | a3t-dev_richard/egs2/TEMPLATE/enh1/scripts/utils/calculate_speech_metrics.py | #!/usr/bin/env python3
import argparse
import logging
import sys
from typing import List
from typing import Union
from mir_eval.separation import bss_eval_sources
import numpy as np
from pystoi import stoi
import torch
from typeguard import check_argument_types
from espnet.utils.cli_utils import get_commandline_args
... | 7,370 | 32.657534 | 87 | py |
a3t-dev_richard | a3t-dev_richard/egs2/TEMPLATE/asr1/pyscripts/utils/plot_sinc_filters.py | #!/usr/bin/env python3
# 2020, Technische Universität München; Nicolas Lindae, Ludwig Kürzinger
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Visualize Sinc convolution filters.
Description:
This program loads a pretrained Sinc convolution of an ESPnet2 ASR model and
plots filters, as well a... | 11,743 | 32.65043 | 88 | py |
a3t-dev_richard | a3t-dev_richard/egs2/vctk/sedit/local/prepare_data_for_infer.py | import os
from espnet2.bin.sedit_inference import *
from espnet2.torch_utils.device_funcs import to_device
import kaldiio
import soundfile
from tqdm import tqdm
def save_wav_to_path(wav_input, left_index,right_index, path, prefix, sr,uid):
wav_replaced = wav_input[left_index:right_index]
wav_unreplaced = np.co... | 4,988 | 53.228261 | 347 | py |
a3t-dev_richard | a3t-dev_richard/egs2/lrs2/lipreading1/local/feature_extract/video_processing.py | import skvideo.io
import skimage.transform
import face_alignment
import numpy as np
import cvtransforms
import torch
from models import pretrained
def reload_model(model, path=""):
if not bool(path):
return model
else:
model_dict = model.state_dict()
pretrained_dict = torch.load(path, ... | 6,492 | 29.483568 | 88 | py |
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