質問編集履歴
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test
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Python
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Python3333
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test
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対処法を教えていただけると幸いです。
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また他に良い方法がありましたら教えてください。
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```# -*- coding: utf-8 -*
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import pyaudio
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import wave
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def main():
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rec_time = 0.2 # 録音時間[s]
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file_path = "output.wav" #音声を保存するファイル名
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fmt = pyaudio.paInt16 # 音声のフォーマット
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ch = 1 # チャンネル1(モノラル)
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sampling_rate = 48000 # サンプリング周波数
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chunk =1024*6 # チャンク（データ点数）
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audio https://teratail.com/questions/input#= pyaudio.PyAudio()
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index = 1 # 録音デバイスのインデックス番号（デフォルト1）
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stream = audio.open(format=fmt, channels=ch, rate=sampling_rate, input=True,
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input_device_index = index,
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frames_per_buffer=chunk)
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print("recording start...")
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# 録音処理
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frames = []
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for i in range(0, int(sampling_rate / chunk * rec_time)):
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data = stream.read(chunk)
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frames.append(data)
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print("recording end...")
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# 録音終了処理
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stream.stop_stream()
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stream.close()
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audio.terminate()
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# 録音データをファイルに保存
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wav = wave.open(file_path, 'wb')
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wav.setnchannels(ch)
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wav.setsampwidth(audio.get_sample_size(fmt))
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wav.setframerate(sampling_rate)
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wav.writeframes(b''.join(frames))
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wav.close()
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if __name__ == '__main__':
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main()
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# coding:utf-8
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# Last Change:2014_08_27_00:48:01.
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import numpy as np
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import scipy.signal as sig
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import scipy.io.wavfile as scw
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import matplotlib.pyplot as plt
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# 自己相関関数
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# r(m) = sum( x(n)*x(n+m) ) n=0~N-m-1, m=0~N-1
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def auto_correlate(dt):
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cor = sig.correlate(dt,dt,mode="full")
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return cor[cor.size/1:]
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# 初出peakの検出
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def calc_first_peak_index(array):
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i = 0
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while array[i] > array[i+1]:
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i += 1
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while array[i] < array[i+1]:
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i += 1
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return i
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if __name__ == '__main__':
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src_name = 'output.wav'
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fs, dt = scw.read(src_name)
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dt = dt //(2 ** 10)
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ts = 1 //fs
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# 自己相関係数の計算
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win_size = 2 ** 10 # 512
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N = 2 ** 10
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start = 1000
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cor = auto_correlate(dt[start:start+N])
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peak_index = calc_first_peak_index(cor)
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freq = 1 / (peak_index * ts)
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print(freq)
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plt.plot(np.arange(cor.size) * ts, cor)
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plt.show()
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```
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エラー内容
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```
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Traceback (most recent call last):
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File "/home/pi/uk.py", line 81, in <module>
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cor = auto_correlate(dt[start:start+N])
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File "/home/pi/uk.py", line 57, in auto_correlate
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return cor[cor.size/1:]
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TypeError: slice indices must be integers or None or have an __index__ method
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```
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