在帧中计算FFT并写入文件

Question

我是python新手，我正在尝试获取上传的wav文件的FFT值，并返回文本文件每行中每帧的FFT（使用GCP）

使用scipy或librosa

我需要的帧速率是30fps

wave文件的采样率为48k

所以我的问题是

1. 如何将整个wav文件的样本划分为每个帧的样本
2. 如何添加空样本以使帧样本的长度为2的幂（当48000/30=1600时，添加448个空样本以使其为2048）
3. 如何将生成的FFT数组规格化为[-1,1]

Answer 1

您可以使用pyaudio和callback来实现您正在做的任何事情

import pyaudio
import wave
import time
import struct
import sys
import numpy as np

if len(sys.argv) < 2:
   print("Plays a wave file.\n\nUsage: %s filename.wav" % sys.argv[0])
   sys.exit(-1)

wf = wave.open(sys.argv[1], 'rb')

# instantiate PyAudio (1)
p = pyaudio.PyAudio()

def callback_test(data, frame_count, time_info, status):
    frame_count =1024
    elm = wf.readframes(frame_count) # read n frames
    da_i = np.frombuffer(elm, dtype='<i2') # convert to little endian int pairs
    da_fft = np.fft.rfft(da_i) # fast fourier transform for real values

    da_ifft = np.fft.irfft(da_fft)  # inverse fast fourier transform for real values 
    da_i = da_ifft.astype('<i2') # convert to little endian int pairs
    da_m = da_i.tobytes() # convert to bytes 
    return (da_m, pyaudio.paContinue)

# open stream using callback (3)
stream = p.open(format=p.get_format_from_width(wf.getsampwidth()),
                channels=wf.getnchannels(),
                rate=wf.getframerate(),# sampling frequency
                output=True,
                stream_callback=callback_test)

# # start the stream (4)
stream.start_stream()

# # wait for stream to finish (5)
while stream.is_active():
    time.sleep(0.1)

# # stop stream (6)
stream.stop_stream()
stream.close()
wf.close()

# close PyAudio (7)
p.terminate()

请参考以下链接进行进一步研究：

https://people.csail.mit.edu/hubert/pyaudio/docs/#example-callback-mode-audio-i-o 和 Python change pitch of wav file