ShigekiKarita

# Copyright 2025 Google LLC.
# SPDX-License-Identifier: Apache-2.0
import tensorflow_datasets as tfds
from flax.training.train_state import TrainState
import flax.linen as nn
import jax
import jax.numpy as jnp
import matplotlib.pyplot as plt
import optax
from tqdm import tqdm

ShigekiKarita

34c34
< data_url=www.openslr.org/resources/60
---
> data_url=www.openslr.org/resources/141
69c69
<         cp ${db_root}/LibriTTS/SPEAKERS.txt data/local
---
>         cp ${db_root}/LibriTTS/train-clean-100/SPEAKERS.txt data/local

ShigekiKarita

ShigekiKarita

git clone https://github.com/espnet/espnet
cd espnet
git checkout v.0.9.7

# Prepare TTS input
echo "HELLO WORLD" > egs/ljspeech/tts1/text

# Run TTS in docker. If you have GPUs, use "espnet/espnet:gpu-cuda10.1-cudnn7-u18"
# https://hub.docker.com/r/espnet/espnet/tags
docker run --rm -v $(pwd)/utils:/espnet/utils -v $(pwd)/espnet:/espnet/espnet -v $(pwd)/egs:/espnet/egs \

ShigekiKarita

# Count the number of parameters in the saved model.
import torch

# Run this commands to get this model.
# $ cd $ESPNET_ROOT/egs/mini_an4/asr1; ./run.sh
state = torch.load("./exp/train_nodev_pytorch_train/results/model.acc.best")
print(sum(v.numel() for v in state.values()))

ShigekiKarita

210c210
<     print B "( " . $cmd . ") 2>>$logfile >> $logfile";
---
>     print B "( " . $cmd . ") |& tee -a $logfile";

ShigekiKarita

ShigekiKarita

#!/bin/bash

# Copyright 2019 Nagoya University (Masao Someki)
# Copyright 2019 Shigeki Karita
#  Apache 2.0  (http://www.apache.org/licenses/LICENSE-2.0)

. ./path.sh || exit 1;
. ./cmd.sh || exit 1;

# general configuration

ShigekiKarita

import logging
from typing import Dict
from typing import NamedTuple
from typing import Tuple

import torch

from espnet.nets.e2e_asr_common import end_detect
from espnet.nets.scorer_interface import PartialScorerInterface
from espnet.nets.scorer_interface import ScorerInterface

ShigekiKarita

import logging
from typing import Any
from typing import Dict
from typing import List
from typing import NamedTuple
from typing import Tuple

import torch

from espnet.nets.e2e_asr_common import end_detect