radtts-uk-bigvgan-demo / alignment.py
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# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: MIT
#
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# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
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import numpy as np
from numba import jit
@jit(nopython=True)
def mas_width1(attn_map):
"""mas with hardcoded width=1"""
# assumes mel x text
opt = np.zeros_like(attn_map)
attn_map = np.log(attn_map)
attn_map[0, 1:] = -np.inf
log_p = np.zeros_like(attn_map)
log_p[0, :] = attn_map[0, :]
prev_ind = np.zeros_like(attn_map, dtype=np.int64)
for i in range(1, attn_map.shape[0]):
for j in range(attn_map.shape[1]): # for each text dim
prev_log = log_p[i - 1, j]
prev_j = j
if j - 1 >= 0 and log_p[i - 1, j - 1] >= log_p[i - 1, j]:
prev_log = log_p[i - 1, j - 1]
prev_j = j - 1
log_p[i, j] = attn_map[i, j] + prev_log
prev_ind[i, j] = prev_j
# now backtrack
curr_text_idx = attn_map.shape[1] - 1
for i in range(attn_map.shape[0] - 1, -1, -1):
opt[i, curr_text_idx] = 1
curr_text_idx = prev_ind[i, curr_text_idx]
opt[0, curr_text_idx] = 1
return opt