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/espnet/bin/st_trans.py | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""End-to-end speech translation model decoding script."""
import logging
import os
import random
import sys
import configargparse
import numpy as np
# NOTE: yo... | 5,855 | 30.826087 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/st/pytorch_backend/st.py | # Copyright 2019 Kyoto University (Hirofumi Inaguma)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Training/decoding definition for the speech translation task."""
import itertools
import json
import logging
import os
from chainer import training
from chainer.training import extensions
import numpy ... | 23,250 | 33.04246 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/asr/asr_utils.py | # Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import argparse
import copy
import json
import logging
import os
import shutil
import tempfile
import numpy as np
import torch
# * -------------------- training iterator related -------------------... | 34,457 | 32.617561 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/asr/asr_mix_utils.py | #!/usr/bin/env python3
"""
This script is used to provide utility functions designed for multi-speaker ASR.
Copyright 2017 Johns Hopkins University (Shinji Watanabe)
Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
Most functions can be directly used as in asr_utils.py:
CompareValueTrigger, restore_snap... | 6,393 | 33.010638 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet/asr/pytorch_backend/asr_init.py | """Finetuning methods."""
from collections import OrderedDict
import logging
import os
import re
import torch
from espnet.asr.asr_utils import get_model_conf
from espnet.asr.asr_utils import torch_load
from espnet.nets.asr_interface import ASRInterface
from espnet.nets.mt_interface import MTInterface
from espnet.nets... | 10,738 | 30.492669 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/asr/pytorch_backend/recog.py | """V2 backend for `asr_recog.py` using py:class:`espnet.nets.beam_search.BeamSearch`."""
import json
import logging
import torch
from espnet.asr.asr_utils import add_results_to_json
from espnet.asr.asr_utils import get_model_conf
from espnet.asr.asr_utils import torch_load
from espnet.asr.pytorch_backend.asr import ... | 6,059 | 35.727273 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/asr/pytorch_backend/asr.py | # Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Training/decoding definition for the speech recognition task."""
import copy
import itertools
import json
import logging
import math
import os
from chainer import reporter as reporter_module
fro... | 52,218 | 34.815501 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/asr/pytorch_backend/asr_mix.py | #!/usr/bin/env python3
"""
This script is used for multi-speaker speech recognition.
Copyright 2017 Johns Hopkins University (Shinji Watanabe)
Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""
import json
import logging
import os
# chainer related
from chainer import training
from chainer.training import... | 22,407 | 33.210687 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/lm/pytorch_backend/extlm.py | #!/usr/bin/env python3
# Copyright 2018 Mitsubishi Electric Research Laboratories (Takaaki Hori)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from espnet.lm.lm_utils import make_lexical_tree
from espnet.nets.pytorch_backe... | 9,546 | 42.593607 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet/lm/pytorch_backend/lm.py | #!/usr/bin/env python3
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
# This code is ported from the following implementation written in Torch.
# https://github.com/chainer/chainer/blob/master/examples/ptb/train_ptb_custom_loop.py
"""LM training ... | 15,129 | 35.812652 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/tts/pytorch_backend/tts.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2018 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""E2E-TTS training / decoding functions."""
import copy
import json
import logging
import math
import os
import time
import chainer
import kaldiio
import nu... | 26,681 | 34.623498 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/utils/spec_augment.py | # -*- coding: utf-8 -*-
"""
This implementation is modified from https://github.com/zcaceres/spec_augment
MIT License
Copyright (c) 2019 Zach Caceres
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Soft... | 18,458 | 35.844311 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/utils/dataset.py | #!/usr/bin/env python
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""pytorch dataset and dataloader implementation for chainer training."""
import torch
import torch.utils.data
class TransformDataset(torch.utils.data.Dataset):
"""Transf... | 2,561 | 26.548387 | 80 | py |
a3t-dev_richard | a3t-dev_richard/espnet/utils/fill_missing_args.py | # -*- coding: utf-8 -*-
# Copyright 2018 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import argparse
import logging
def fill_missing_args(args, add_arguments):
"""Fill missing arguments in args.
Args:
args (Namespace or None): Namesapce containing ... | 1,426 | 29.361702 | 84 | py |
a3t-dev_richard | a3t-dev_richard/espnet/utils/deterministic_utils.py | import logging
import os
import chainer
import torch
def set_deterministic_pytorch(args):
"""Ensures pytorch produces deterministic results depending on the program arguments
:param Namespace args: The program arguments
"""
# seed setting
torch.manual_seed(args.seed)
# debug mode setting
... | 1,794 | 31.053571 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/utils/training/iterators.py | import chainer
from chainer.iterators import MultiprocessIterator
from chainer.iterators import SerialIterator
from chainer.iterators import ShuffleOrderSampler
from chainer.training.extension import Extension
import numpy as np
class ShufflingEnabler(Extension):
"""An extension enabling shuffling on an Iterator... | 3,585 | 34.156863 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet/optimizer/pytorch.py | """PyTorch optimizer builders."""
import argparse
import torch
from espnet.optimizer.factory import OptimizerFactoryInterface
from espnet.optimizer.parser import adadelta
from espnet.optimizer.parser import adam
from espnet.optimizer.parser import sgd
class AdamFactory(OptimizerFactoryInterface):
"""Adam factor... | 2,469 | 25.276596 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet/optimizer/factory.py | """Import optimizer class dynamically."""
import argparse
from espnet.utils.dynamic_import import dynamic_import
from espnet.utils.fill_missing_args import fill_missing_args
class OptimizerFactoryInterface:
"""Optimizer adaptor."""
@staticmethod
def from_args(target, args: argparse.Namespace):
"... | 2,013 | 27.771429 | 83 | py |
a3t-dev_richard | a3t-dev_richard/espnet/optimizer/chainer.py | """Chainer optimizer builders."""
import argparse
import chainer
from chainer.optimizer_hooks import WeightDecay
from espnet.optimizer.factory import OptimizerFactoryInterface
from espnet.optimizer.parser import adadelta
from espnet.optimizer.parser import adam
from espnet.optimizer.parser import sgd
class AdamFact... | 2,658 | 25.858586 | 82 | py |
a3t-dev_richard | a3t-dev_richard/espnet/transform/spec_augment.py | """Spec Augment module for preprocessing i.e., data augmentation"""
import random
import numpy
from PIL import Image
from PIL.Image import BICUBIC
from espnet.transform.functional import FuncTrans
def time_warp(x, max_time_warp=80, inplace=False, mode="PIL"):
"""time warp for spec augment
move random cent... | 5,924 | 28.187192 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/espnet_model.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""GAN-based text-to-speech ESPnet model."""
from contextlib import contextmanager
from distutils.version import LooseVersion
from typing import Any
from typing import Dict
from typing import Optional
import torch
from typeg... | 9,340 | 38.918803 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/abs_gan_tts.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""GAN-based TTS abstrast class."""
from abc import ABC
from abc import abstractmethod
from typing import Dict
from typing import Union
import torch
from espnet2.tts.abs_tts import AbsTTS
class AbsGANTTS(AbsTTS, ABC):
... | 634 | 20.896552 | 70 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/melgan/residual_stack.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Residual stack module in MelGAN.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
from typing import Any
from typing import Dict
import torch
class ResidualStack(torch.nn.Module):
"""R... | 2,482 | 33.486111 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/melgan/pqmf.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Pseudo QMF modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
import numpy as np
import torch
import torch.nn.functional as F
from scipy.signal import kaiser
def design_prototype_fi... | 5,142 | 30.944099 | 84 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/melgan/melgan.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""MelGAN Modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
import logging
from typing import Any
from typing import Dict
from typing import List
import numpy as np
import torch
from ... | 16,735 | 34.914163 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/wavenet/wavenet.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""WaveNet modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
import logging
import math
from typing import Optional
import torch
from espnet2.gan_tts.wavenet.residual_block import Con... | 6,952 | 34.294416 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/wavenet/residual_block.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Residual block modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
import math
from typing import Optional
from typing import Tuple
import torch
import torch.nn.functional as F
clas... | 5,371 | 30.6 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/joint/joint_text2wav.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Joint text-to-wav module for end-to-end training."""
from typing import Any
from typing import Dict
import torch
from typeguard import check_argument_types
from espnet2.gan_tts.abs_gan_tts import AbsGANTTS
from espnet2.g... | 24,411 | 37.565561 | 104 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/style_melgan/tade_res_block.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""StyleMelGAN's TADEResBlock Modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
from functools import partial
import torch
class TADELayer(torch.nn.Module):
"""TADE Layer module."... | 5,864 | 30.532258 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/style_melgan/style_melgan.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""StyleMelGAN Modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
import copy
import logging
import math
from typing import Any
from typing import Dict
from typing import List
from typin... | 12,131 | 33.078652 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/hifigan/loss.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""HiFiGAN-related loss modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
import to... | 10,236 | 33.468013 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/hifigan/residual_block.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""HiFiGAN Residual block modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
from typing import Any
from typing import Dict
from typing import List
import torch
class ResidualBlock(tor... | 3,349 | 32.5 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/hifigan/hifigan.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""HiFi-GAN Modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
import copy
import logging
from typing import Any
from typing import Dict
from typing import List
from typing import Option... | 27,078 | 35.105333 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/utils/get_random_segments.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Function to get random segments."""
from typing import Tuple
import torch
def get_random_segments(
x: torch.Tensor,
x_lengths: torch.Tensor,
segment_size: int,
) -> Tuple[torch.Tensor, torch.Tensor]:
"""G... | 1,429 | 23.655172 | 67 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/residual_coupling.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Residual affine coupling modules in VITS.
This code is based on https://github.com/jaywalnut310/vits.
"""
from typing import Optional
from typing import Tuple
from typing import Union
import torch
from espnet2.gan_tts.v... | 7,632 | 32.186957 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/flow.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Basic Flow modules used in VITS.
This code is based on https://github.com/jaywalnut310/vits.
"""
import math
from typing import Optional
from typing import Tuple
from typing import Union
import torch
from espnet2.gan_t... | 9,419 | 29 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/transform.py | """Flow-related transformation.
This code is derived from https://github.com/bayesiains/nflows.
"""
import torch
from torch.nn import functional as F
import numpy as np
DEFAULT_MIN_BIN_WIDTH = 1e-3
DEFAULT_MIN_BIN_HEIGHT = 1e-3
DEFAULT_MIN_DERIVATIVE = 1e-3
# TODO(kan-bayashi): Documentation and type hint
def p... | 7,506 | 33.278539 | 83 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/loss.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""VITS-related loss modules.
This code is based on https://github.com/jaywalnut310/vits.
"""
import torch
class KLDivergenceLoss(torch.nn.Module):
"""KL divergence loss."""
def forward(
self,
z_p:... | 1,318 | 26.479167 | 83 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/duration_predictor.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Stochastic duration predictor modules in VITS.
This code is based on https://github.com/jaywalnut310/vits.
"""
import math
from typing import Optional
import torch
import torch.nn.functional as F
from espnet2.gan_tts.v... | 6,313 | 31.885417 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/vits.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""VITS module for GAN-TTS task."""
from typing import Any
from typing import Dict
from typing import Optional
import torch
from typeguard import check_argument_types
from espnet2.gan_tts.abs_gan_tts import AbsGANTTS
from e... | 23,567 | 37.509804 | 104 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/generator.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Generator module in VITS.
This code is based on https://github.com/jaywalnut310/vits.
"""
import math
from typing import List
from typing import Optional
from typing import Tuple
import numpy as np
import torch
import t... | 25,501 | 43.121107 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/text_encoder.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Text encoder module in VITS.
This code is based on https://github.com/jaywalnut310/vits.
"""
import math
from typing import Tuple
import torch
from espnet.nets.pytorch_backend.conformer.encoder import Encoder
from espn... | 5,388 | 36.950704 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/posterior_encoder.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Posterior encoder module in VITS.
This code is based on https://github.com/jaywalnut310/vits.
"""
from typing import Optional
from typing import Tuple
import torch
from espnet.nets.pytorch_backend.nets_utils import make... | 4,055 | 33.372881 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/vits/monotonic_align/__init__.py | """Maximum path calculation module.
This code is based on https://github.com/jaywalnut310/vits.
"""
import warnings
import numpy as np
import torch
from numba import njit
from numba import prange
try:
from .core import maximum_path_c
is_cython_avalable = True
except ImportError:
is_cython_avalable = ... | 2,511 | 29.634146 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/parallel_wavegan/parallel_wavegan.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Parallel WaveGAN Modules.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
import logging
import math
from typing import Any
from typing import Dict
from typing import Optional
import numpy... | 12,564 | 34.097765 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/gan_tts/parallel_wavegan/upsample.py | # Copyright 2021 Tomoki Hayashi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Upsampling module.
This code is modified from https://github.com/kan-bayashi/ParallelWaveGAN.
"""
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
import numpy as np
impo... | 6,215 | 31.715789 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/espnet_model.py | """Enhancement model module."""
from distutils.version import LooseVersion
from functools import reduce
from itertools import permutations
from typing import Dict
from typing import Optional
from typing import Tuple
import ci_sdr
import torch
from typeguard import check_argument_types
from espnet2.enh.decoder.abs_dec... | 27,236 | 37.416079 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/abs_enh.py | from abc import ABC
from abc import abstractmethod
from collections import OrderedDict
from typing import Tuple
import torch
class AbsEnhancement(torch.nn.Module, ABC):
# @abstractmethod
# def output_size(self) -> int:
# raise NotImplementedError
@abstractmethod
def forward(
self,
... | 658 | 23.407407 | 56 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/separator/conformer_separator.py | from collections import OrderedDict
from distutils.version import LooseVersion
from typing import List
from typing import Tuple
from typing import Union
import torch
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.conformer.encoder import (
Encoder as ConformerEncoder, # noqa: H30... | 6,643 | 38.547619 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/separator/dprnn_separator.py | from collections import OrderedDict
from distutils.version import LooseVersion
from typing import List
from typing import Tuple
from typing import Union
import torch
from torch_complex.tensor import ComplexTensor
from espnet2.enh.layers.complex_utils import is_complex
from espnet2.enh.layers.dprnn import DPRNN
from e... | 3,956 | 30.91129 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/separator/tcn_separator.py | from collections import OrderedDict
from distutils.version import LooseVersion
from typing import List
from typing import Tuple
from typing import Union
import torch
from torch_complex.tensor import ComplexTensor
from espnet2.enh.layers.complex_utils import is_complex
from espnet2.enh.layers.tcn import TemporalConvNe... | 3,393 | 29.854545 | 84 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/separator/transformer_separator.py | from collections import OrderedDict
from distutils.version import LooseVersion
from typing import List
from typing import Tuple
from typing import Union
import torch
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.nets_utils import make_non_pad_mask
from espnet.nets.pytorch_backend.tr... | 5,626 | 35.303226 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/separator/neural_beamformer.py | from collections import OrderedDict
from typing import List
from typing import Tuple
from typing import Union
import torch
from torch_complex.tensor import ComplexTensor
from espnet2.enh.layers.dnn_beamformer import DNN_Beamformer
from espnet2.enh.layers.dnn_wpe import DNN_WPE
from espnet2.enh.separator.abs_separator... | 10,189 | 38.042146 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/separator/abs_separator.py | from abc import ABC
from abc import abstractmethod
from collections import OrderedDict
from typing import Tuple
import torch
class AbsSeparator(torch.nn.Module, ABC):
@abstractmethod
def forward(
self,
input: torch.Tensor,
ilens: torch.Tensor,
) -> Tuple[Tuple[torch.Tensor], torch... | 470 | 19.478261 | 63 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/separator/rnn_separator.py | from collections import OrderedDict
from distutils.version import LooseVersion
from typing import List
from typing import Tuple
from typing import Union
import torch
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.rnn.encoders import RNN
from espnet2.enh.layers.complex_utils import is_... | 3,403 | 28.859649 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/separator/asteroid_models.py | from collections import OrderedDict
from typing import Tuple
import warnings
import torch
from espnet2.enh.separator.abs_separator import AbsSeparator
class AsteroidModel_Converter(AbsSeparator):
def __init__(
self,
encoder_output_dim: int,
model_name: str,
num_spk: int,
... | 5,206 | 32.165605 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/layers/wpe.py | from distutils.version import LooseVersion
from typing import Tuple
from typing import Union
import torch
import torch.nn.functional as F
import torch_complex.functional as FC
from torch_complex.tensor import ComplexTensor
from espnet2.enh.layers.complex_utils import einsum
from espnet2.enh.layers.complex_utils impor... | 7,993 | 30.34902 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/layers/dnn_wpe.py | from typing import Tuple
from typing import Union
import torch
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet2.enh.layers.complex_utils import to_double
from espnet2.enh.layers.complex_utils import to_float
from espnet2.enh.layers.mask_estim... | 5,578 | 32.407186 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/layers/beamformer.py | """Beamformer module."""
from distutils.version import LooseVersion
from typing import List
from typing import Optional
from typing import Union
import numpy as np
import torch
from torch_complex import functional as FC
from torch_complex.tensor import ComplexTensor
from espnet2.enh.layers.complex_utils import einsum... | 26,737 | 34.986541 | 109 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/layers/dprnn.py | # The implementation of DPRNN in
# Luo. et al. "Dual-path rnn: efficient long sequence modeling
# for time-domain single-channel speech separation."
#
# The code is based on:
# https://github.com/yluo42/TAC/blob/master/utility/models.py
#
import torch
from torch.autograd import Variable
import torch.nn as nn
EPS = ... | 7,628 | 30.524793 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/layers/mask_estimator.py | from distutils.version import LooseVersion
from typing import Tuple
from typing import Union
import numpy as np
import torch
from torch.nn import functional as F
from torch_complex.tensor import ComplexTensor
from espnet.nets.pytorch_backend.nets_utils import make_pad_mask
from espnet.nets.pytorch_backend.rnn.encoder... | 3,487 | 34.232323 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/layers/complex_utils.py | """Beamformer module."""
from distutils.version import LooseVersion
from typing import Tuple
from typing import Union
import torch
from torch_complex import functional as FC
from torch_complex.tensor import ComplexTensor
EPS = torch.finfo(torch.double).eps
is_torch_1_8_plus = LooseVersion(torch.__version__) >= Loose... | 5,182 | 34.5 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/layers/tcn.py | # Implementation of the TCN proposed in
# Luo. et al. "Conv-tasnet: Surpassing ideal time–frequency
# magnitude masking for speech separation."
#
# The code is based on:
# https://github.com/kaituoxu/Conv-TasNet/blob/master/src/conv_tasnet.py
#
import torch
import torch.nn as nn
import torch.nn.functional as F
EPS ... | 8,610 | 28.693103 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/layers/dnn_beamformer.py | """DNN beamformer module."""
from distutils.version import LooseVersion
from typing import List
from typing import Tuple
from typing import Union
import logging
import torch
from torch.nn import functional as F
from torch_complex import functional as FC
from torch_complex.tensor import ComplexTensor
from espnet2.enh.... | 21,909 | 40.029963 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/encoder/abs_encoder.py | from abc import ABC
from abc import abstractmethod
from typing import Tuple
import torch
class AbsEncoder(torch.nn.Module, ABC):
@abstractmethod
def forward(
self,
input: torch.Tensor,
ilens: torch.Tensor,
) -> Tuple[torch.Tensor, torch.Tensor]:
raise NotImplementedError
... | 421 | 19.095238 | 43 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/encoder/null_encoder.py | import torch
from espnet2.enh.encoder.abs_encoder import AbsEncoder
class NullEncoder(AbsEncoder):
"""Null encoder."""
def __init__(self):
super().__init__()
@property
def output_dim(self) -> int:
return 1
def forward(self, input: torch.Tensor, ilens: torch.Tensor):
"""... | 503 | 20 | 64 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/encoder/stft_encoder.py | from distutils.version import LooseVersion
import torch
from torch_complex.tensor import ComplexTensor
from espnet2.enh.encoder.abs_encoder import AbsEncoder
from espnet2.layers.stft import Stft
is_torch_1_9_plus = LooseVersion(torch.__version__) >= LooseVersion("1.9.0")
class STFTEncoder(AbsEncoder):
"""STFT e... | 1,668 | 28.280702 | 76 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/encoder/conv_encoder.py | import torch
from espnet2.enh.encoder.abs_encoder import AbsEncoder
class ConvEncoder(AbsEncoder):
"""Convolutional encoder for speech enhancement and separation"""
def __init__(
self,
channel: int,
kernel_size: int,
stride: int,
):
super().__init__()
self... | 1,301 | 26.125 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/decoder/conv_decoder.py | import torch
from espnet2.enh.decoder.abs_decoder import AbsDecoder
class ConvDecoder(AbsDecoder):
"""Transposed Convolutional decoder for speech enhancement and separation"""
def __init__(
self,
channel: int,
kernel_size: int,
stride: int,
):
super().__init__()
... | 873 | 25.484848 | 80 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/decoder/null_decoder.py | import torch
from espnet2.enh.decoder.abs_decoder import AbsDecoder
class NullDecoder(AbsDecoder):
"""Null decoder, return the same args."""
def __init__(self):
super().__init__()
def forward(self, input: torch.Tensor, ilens: torch.Tensor):
"""Forward. The input should be the waveform a... | 493 | 23.7 | 64 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/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
| 319 | 19 | 43 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/enh/decoder/stft_decoder.py | from distutils.version import LooseVersion
import torch
from torch_complex.tensor import ComplexTensor
from espnet2.enh.decoder.abs_decoder import AbsDecoder
from espnet2.layers.stft import Stft
is_torch_1_9_plus = LooseVersion(torch.__version__) >= LooseVersion("1.9.0")
class STFTDecoder(AbsDecoder):
"""STFT d... | 1,411 | 27.24 | 76 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/forward_adaptor.py | import torch
from typeguard import check_argument_types
class ForwardAdaptor(torch.nn.Module):
"""Wrapped module to parallelize specified method
torch.nn.DataParallel parallelizes only "forward()"
and, maybe, the method having the other name can't be applied
except for wrapping the module just like t... | 1,052 | 29.970588 | 67 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/initialize.py | #!/usr/bin/env python3
"""Initialize modules for espnet2 neural networks."""
import math
import torch
from typeguard import check_argument_types
def initialize(model: torch.nn.Module, init: str):
"""Initialize weights of a neural network module.
Parameters are initialized using the given method or distribu... | 3,788 | 35.786408 | 79 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/model_summary.py | import humanfriendly
import numpy as np
import torch
def get_human_readable_count(number: int) -> str:
"""Return human_readable_count
Originated from:
https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pytorch_lightning/core/memory.py
Abbreviates an integer number with K, M, B, T for ... | 2,500 | 34.225352 | 102 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/load_pretrained_model.py | from typing import Any
from typing import Dict
from typing import Union
import logging
import torch
import torch.nn
import torch.optim
def filter_state_dict(
dst_state: Dict[str, Union[float, torch.Tensor]],
src_state: Dict[str, Union[float, torch.Tensor]],
):
"""Filter name, size mismatch instances betw... | 4,894 | 35.804511 | 450 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/add_gradient_noise.py | import torch
def add_gradient_noise(
model: torch.nn.Module,
iteration: int,
duration: float = 100,
eta: float = 1.0,
scale_factor: float = 0.55,
):
"""Adds noise from a standard normal distribution to the gradients.
The standard deviation (`sigma`) is controlled
by the three hyper-pa... | 989 | 29.9375 | 71 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/device_funcs.py | import dataclasses
import warnings
import numpy as np
import torch
def to_device(data, device=None, dtype=None, non_blocking=False, copy=False):
"""Change the device of object recursively"""
if isinstance(data, dict):
return {
k: to_device(v, device, dtype, non_blocking, copy) for k, v in... | 2,681 | 36.25 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/pytorch_version.py | import torch
def pytorch_cudnn_version() -> str:
message = (
f"pytorch.version={torch.__version__}, "
f"cuda.available={torch.cuda.is_available()}, "
)
if torch.backends.cudnn.enabled:
message += (
f"cudnn.version={torch.backends.cudnn.version()}, "
f"cudnn... | 468 | 26.588235 | 71 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/recursive_op.py | """Torch utility module."""
import torch
if torch.distributed.is_available():
from torch.distributed import ReduceOp
def recursive_sum(obj, weight: torch.Tensor, distributed: bool = False):
assert weight.dim() == 1, weight.size()
if isinstance(obj, (tuple, list)):
return type(obj)(recursive_sum(v... | 1,615 | 32.666667 | 81 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/torch_utils/set_all_random_seed.py | import random
import numpy as np
import torch
def set_all_random_seed(seed: int):
random.seed(seed)
np.random.seed(seed)
torch.random.manual_seed(seed)
| 167 | 14.272727 | 35 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/main_funcs/collect_stats.py | from collections import defaultdict
import logging
from pathlib import Path
from typing import Dict
from typing import Iterable
from typing import List
from typing import Optional
from typing import Tuple
import numpy as np
import torch
from torch.nn.parallel import data_parallel
from torch.utils.data import DataLoade... | 5,036 | 38.661417 | 85 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/main_funcs/calculate_all_attentions.py | from collections import defaultdict
from typing import Dict
from typing import List
import torch
from espnet.nets.pytorch_backend.rnn.attentions import AttAdd
from espnet.nets.pytorch_backend.rnn.attentions import AttCov
from espnet.nets.pytorch_backend.rnn.attentions import AttCovLoc
from espnet.nets.pytorch_backend... | 5,882 | 35.540373 | 103 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/main_funcs/average_nbest_models.py | import logging
from pathlib import Path
from typing import Sequence
from typing import Union
import warnings
import torch
from typeguard import check_argument_types
from typing import Collection
from espnet2.train.reporter import Reporter
@torch.no_grad()
def average_nbest_models(
output_dir: Path,
reporter... | 3,653 | 34.134615 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/main_funcs/pack_funcs.py | from datetime import datetime
from io import BytesIO
from io import TextIOWrapper
import os
from pathlib import Path
import sys
import tarfile
from typing import Dict
from typing import Iterable
from typing import Optional
from typing import Union
import zipfile
import yaml
class Archiver:
def __init__(self, fil... | 9,903 | 31.686469 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/enh_inference.py | #!/usr/bin/env python3
import argparse
import logging
from pathlib import Path
import sys
from typing import Any
from typing import List
from typing import Optional
from typing import Sequence
from typing import Tuple
from typing import Union
import humanfriendly
import numpy as np
import torch
from tqdm import trange... | 17,784 | 32.94084 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/lm_calc_perplexity.py | #!/usr/bin/env python3
import argparse
import logging
from pathlib import Path
import sys
from typing import Optional
from typing import Sequence
from typing import Tuple
from typing import Union
import numpy as np
import torch
from torch.nn.parallel import data_parallel
from typeguard import check_argument_types
fro... | 6,742 | 30.957346 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/diar_inference.py | #!/usr/bin/env python3
import argparse
import logging
from pathlib import Path
import sys
from typing import Any
from typing import List
from typing import Optional
from typing import Sequence
from typing import Tuple
from typing import Union
import numpy as np
import torch
from tqdm import trange
from typeguard impo... | 11,979 | 30.036269 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/tts_inference.py | #!/usr/bin/env python3
"""Script to run the inference of text-to-speeech model."""
import argparse
import logging
import shutil
import sys
import time
from distutils.version import LooseVersion
from pathlib import Path
from typing import Any
from typing import Dict
from typing import Optional
from typing import Sequ... | 25,842 | 33.274536 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/sedit_inference.py | #!/usr/bin/env python3
"""Script to run the inference of text-to-speeech model."""
from espnet2.torch_utils.set_all_random_seed import set_all_random_seed
from espnet2.tasks.mlm import MLMTask
from espnet2.tasks.tts import TTSTask
import matplotlib.pylab as plt
from parallel_wavegan.utils import download_pretrained_mo... | 44,710 | 48.678889 | 263 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/asr_inference.py | #!/usr/bin/env python3
import argparse
import logging
from pathlib import Path
import sys
from typing import Any
from typing import Optional
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 typeguard import che... | 18,241 | 31.575 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/launch.py | #!/usr/bin/env python3
import argparse
import logging
import os
from pathlib import Path
import shlex
import shutil
import subprocess
import sys
import uuid
from espnet.utils.cli_utils import get_commandline_args
from espnet2.utils.types import str2bool
from espnet2.utils.types import str_or_none
def get_parser():
... | 13,188 | 32.992268 | 173 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/enh_scoring.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
... | 4,752 | 30.686667 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/k2_asr_inference.py | #!/usr/bin/env python3
import argparse
import logging
from pathlib import Path
import sys
from typing import Any
from typing import Dict
from typing import Optional
from typing import Sequence
from typing import Tuple
from typing import Union
import k2
import k2.ragged as k2r
import numpy as np
import torch
from typeg... | 17,298 | 31.214153 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/bin/asr_align.py | #!/usr/bin/env python3
# Copyright 2021, Ludwig Kürzinger; Kamo Naoyuki
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Perform CTC segmentation to align utterances within audio files."""
import argparse
import logging
from pathlib import Path
import sys
from typing import Optional
from typing import Te... | 32,475 | 38.222222 | 88 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/hubert/espnet_model.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
from contextlib impo... | 8,675 | 32.890625 | 86 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/hubert/hubert_loss.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# The HubertPretrainLoss Module uses code from Fairseq:
# https://github.com/pytorch/fairseq/blob/master/fairseq/criterions/hubert_criterion.py
#
# Thanks to Abdelrahman Mohamed and Wei-Ning Hsu's help in this implementation,
# Their origial Hubert work is in:
# P... | 2,827 | 36.706667 | 91 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/diar/abs_diar.py | from abc import ABC
from abc import abstractmethod
from collections import OrderedDict
from typing import Tuple
import torch
class AbsDiarization(torch.nn.Module, ABC):
# @abstractmethod
# def output_size(self) -> int:
# raise NotImplementedError
@abstractmethod
def forward(
self,
... | 658 | 23.407407 | 56 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/diar/espnet_model.py | # Copyright 2021 Jiatong Shi
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
from contextlib import contextmanager
from distutils.version import LooseVersion
from itertools import permutations
from typing import Dict
from typing import Optional
from typing import Tuple
import numpy as np
import torch
from... | 10,315 | 35.58156 | 87 | py |
a3t-dev_richard | a3t-dev_richard/espnet2/diar/label_processor.py | import torch
from espnet2.layers.label_aggregation import LabelAggregate
class LabelProcessor(torch.nn.Module):
"""Label aggregator for speaker diarization"""
def __init__(
self, win_length: int = 512, hop_length: int = 128, center: bool = True
):
super().__init__()
self.label_ag... | 749 | 24 | 79 | py |
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