ASRT_SpeechRecognition/evaluate_speech_model.py

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2016-2099 Ailemon.net
#
# This file is part of ASRT Speech Recognition Tool.
#
# ASRT is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# ASRT is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with ASRT. If not, see <https://www.gnu.org/licenses/>.
# ============================================================================
"""
@author: nl8590687
用于测试语音识别系统语音模型的程序
"""
import os
from speech_model import ModelSpeech
from speech_model_zoo import SpeechModel251BN
from data_loader import DataLoader
from speech_features import Spectrogram
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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AUDIO_LENGTH = 1600
AUDIO_FEATURE_LENGTH = 200
CHANNELS = 1
# 默认输出的拼音的表示大小是1428即1427个拼音+1个空白块
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OUTPUT_SIZE = 1428
sm251bn = SpeechModel251BN(
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input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
output_size=OUTPUT_SIZE
)
feat = Spectrogram()
evalue_data = DataLoader('dev')
ms = ModelSpeech(sm251bn, feat, max_label_length=64)
ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5')
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ms.evaluate_model(data_loader=evalue_data, data_count=-1,
out_report=True, show_ratio=True, show_per_step=100)