58 lines
2.2 KiB
Python
58 lines
2.2 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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#
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# Copyright 2016-2099 Ailemon.net
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#
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# This file is part of ASRT Speech Recognition Tool.
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#
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# ASRT is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# ASRT is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with ASRT. If not, see <https://www.gnu.org/licenses/>.
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# ============================================================================
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"""
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@author: nl8590687
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一些常用操作函数的定义
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"""
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import wave
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import numpy as np
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import difflib
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def read_wav_data(filename: str) -> tuple:
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'''
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读取一个wav文件，返回声音信号的时域谱矩阵和播放时间
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'''
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wav = wave.open(filename,"rb") # 打开一个wav格式的声音文件流
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num_frame = wav.getnframes() # 获取帧数
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num_channel=wav.getnchannels() # 获取声道数
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framerate=wav.getframerate() # 获取帧速率
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num_sample_width=wav.getsampwidth() # 获取实例的比特宽度，即每一帧的字节数
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str_data = wav.readframes(num_frame) # 读取全部的帧
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wav.close() # 关闭流
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wave_data = np.fromstring(str_data, dtype = np.short) # 将声音文件数据转换为数组矩阵形式
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wave_data.shape = -1, num_channel # 按照声道数将数组整形，单声道时候是一列数组，双声道时候是两列的矩阵
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wave_data = wave_data.T # 将矩阵转置
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return wave_data, framerate, num_channel, num_sample_width
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def get_edit_distance(str1, str2) -> int:
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leven_cost = 0
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s = difflib.SequenceMatcher(None, str1, str2)
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for tag, i1, i2, j1, j2 in s.get_opcodes():
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#print('{:7} a[{}: {}] --> b[{}: {}] {} --> {}'.format(tag, i1, i2, j1, j2, str1[i1: i2], str2[j1: j2]))
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if tag == 'replace':
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leven_cost += max(i2-i1, j2-j1)
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elif tag == 'insert':
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leven_cost += (j2-j1)
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elif tag == 'delete':
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leven_cost += (i2-i1)
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return leven_cost
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