语音信号处理（声速，回声，音高，界面设计PyQt5）_Python语言

def YuSu(self):     #语速设置       
        f = wave.open(r"test.wav", "rb")
        # 读取格式信息
        # (nchannels, sampwidth, framerate, nframes, comptype, compname)
        params = f.getparams()
        nchannels, sampwidth, framerate, nframes = params[:4]
        # 读取波形数据
        str_data = f.readframes(nframes)
        f.close()
        # 将波形数据转换为数组
        wave_data = np.fromstring(str_data, dtype=np.short)
        time = np.arange(0, nframes) * (1.0 / framerate)

        # 要通过我们设定的名字来调用这些组件
        # price_box.toPlainText() 是一个内置的可以读取输入框中的值的函数。
        # 通过函数读取到的是一个 string 类型的值，所以我们需要把他转换成 integer 类型并存在一个price 变量中
        # price = int(self.price_box.toPlainText())
        # value() 是读取spinbox 中值的函数
        yusu = self.yusu_doubleSpinBox.value()
        # 语速设置
        wave_data1 = wave_data.astype(np.short)
        f = wave.open(r"test_yusu.wav", "wb")

        # 配置声道数、量化位数和取样频率
        f.setnchannels(1)
        f.setsampwidth(2)
        f.setframerate(yusu * framerate)　　#改变采样率
        # 将wav_data转换为二进制数据写入文件
        f.writeframes(wave_data1.tostring())
        f.close()

        chunk = 1024
        f = wave.open(r"test_yusu.wav", "rb")
        p = pyaudio.PyAudio()

        # 打开声音输出流
        stream = p.open(format=p.get_format_from_width(f.getsampwidth()),
                        channels=f.getnchannels(),
                        rate=f.getframerate(),
                        output=True)

        # 写声音输出流进行播放
        while True:
            data = f.readframes(chunk)
            if data == "": break
            stream.write(data)
        stream.close()
        p.terminate()

        f = wave.open(r"test_yusu.wav", "rb")
        # 读取格式信息
        # (nchannels, sampwidth, framerate, nframes, comptype, compname)
        params = f.getparams()
        nchannels, sampwidth, framerate, nframes = params[:4]
        # 读取波形数据
        str_data = f.readframes(nframes)
        f.close()
        # 将波形数据转换为数组
        wave_data = np.fromstring(str_data, dtype=np.short)
        time = np.arange(0, nframes) * (1.0 / framerate)
        self.curve2.setData(time, wave_data)
        self.curve2.attach(self.qwtPlot_2)
        self.qwtPlot_2.replot()    

回声添加，两种方法：叠加法和滤波法

def HuiSheng(self):
        f = wave.open(r"test.wav", "rb")
        # 读取格式信息
        # (nchannels, sampwidth, framerate, nframes, comptype, compname)
        params = f.getparams()
        nchannels, sampwidth, framerate, nframes = params[:4]
        # 读取波形数据
        str_data = f.readframes(nframes)
        f.close()

        # 将波形数据转换为数组
        wave_data = np.fromstring(str_data, dtype=np.short)
        time = np.arange(0, nframes) * (1.0 / framerate)
        huisheng = self.huisheng_spinBox.value()
        # 滤波,一次回声
        b1 = np.array([1])
        b2 = np.zeros([1, 6000])
        b3 = np.array([0.7])
        b = np.append(b1, b2)
        b = np.append(b, b3)
        a = 1
        wave_data = np.append(wave_data, np.zeros([1, nframes]))
        wave_filter = signal.lfilter(b, a, wave_data)

        # 写Wave文件
        # t = np.arange(0,np.max(time)*2,1.0/framerate)

        # 打开WAV文档
        wave_filter = wave_filter.astype(np.short)
        f = wave.open(r"test_huisheng.wav", "wb")

        # 配置声道数、量化位数和取样频率
        f.setnchannels(1)
        f.setsampwidth(2)
        f.setframerate(framerate)
        # 将wav_data转换为二进制数据写入文件
        f.writeframes(wave_filter.tostring())
        f.close()

        # 播放声音
        chunk = 1024
        f = wave.open(r"test_huisheng.wav", "rb")
        p = pyaudio.PyAudio()

        # 打开声音输出流
        stream = p.open(format=p.get_format_from_width(f.getsampwidth()),
                        channels=f.getnchannels(),
                        rate=f.getframerate(),
                        output=True)

        # 写声音输出流进行播放
        while True:
            data = f.readframes(chunk)
            if data == "": break
            stream.write(data)

        stream.close()
        p.terminate()

        f = wave.open(r"test_huisheng.wav", "rb")
        # 读取格式信息
        # (nchannels, sampwidth, framerate, nframes, comptype, compname)
        params = f.getparams()
        nchannels, sampwidth, framerate, nframes = params[:4]
        # 读取波形数据
        str_data = f.readframes(nframes)
        f.close()
        # 将波形数据转换为数组
        wave_data = np.fromstring(str_data, dtype=np.short)
        time = np.arange(0, nframes) * (1.0 / framerate)
        
        self.curve2.setData(time, wave_data)
        self.curve2.attach(self.qwtPlot_2)
        self.qwtPlot_2.replot()

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