Question

系统：Ubuntu 18.04

我尝试使用RNNNoise python包装器实现库this。所以我安装了RNNNoise，只想运行以下代码（从包装程序开始）：

import wave
import os, sys
import ctypes
import contextlib
import numpy as np
from ctypes import util
from scipy.io import wavfile
from pydub import AudioSegment

lib_path = util.find_library("rnnoise")
print(lib_path)
if (not ("/" in lib_path)):
    lib_path = (os.popen('ldconfig -p | grep ' + lib_path).read().split('\n')[0].strip().split(" ")[-1] or (
                "/usr/local/lib/" + lib_path))

lib = ctypes.cdll.LoadLibrary(lib_path)
lib.rnnoise_process_frame.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float)]
lib.rnnoise_process_frame.restype = ctypes.c_float
lib.rnnoise_create.restype = ctypes.c_void_p
lib.rnnoise_destroy.argtypes = [ctypes.c_void_p]


# borrowed from here
# https://github.com/Shb742/rnnoise_python
class RNNoise(object):
    def __init__(self):
        self.obj = lib.rnnoise_create()

    def process_frame(self, inbuf):
        outbuf = np.ndarray((480,), 'h', inbuf).astype(ctypes.c_float)
        outbuf_ptr = outbuf.ctypes.data_as(ctypes.POINTER(ctypes.c_float))
        VodProb = lib.rnnoise_process_frame(self.obj, outbuf_ptr, outbuf_ptr)
        return (VodProb, outbuf.astype(ctypes.c_short).tobytes())

    def destroy(self):
        lib.rnnoise_destroy(self.obj)


def read_wave(path):
    """Reads a .wav file.
    Takes the path, and returns (PCM audio data, sample rate).
    """
    with contextlib.closing(wave.open(path, 'rb')) as wf:
        num_channels = wf.getnchannels()
        assert num_channels == 1
        sample_width = wf.getsampwidth()
        assert sample_width == 2
        sample_rate = wf.getframerate()
        assert sample_rate in (8000, 16000, 32000, 48000)
        pcm_data = wf.readframes(wf.getnframes())
        return pcm_data, sample_rate


def frame_generator(frame_duration_ms,
                    audio,
                    sample_rate):
    """Generates audio frames from PCM audio data.
    Takes the desired frame duration in milliseconds, the PCM data, and
    the sample rate.
    Yields Frames of the requested duration.
    """
    n = int(sample_rate * (frame_duration_ms / 1000.0) * 2)
    offset = 0
    timestamp = 0.0
    duration = (float(n) / sample_rate) / 2.0
    while offset + n < len(audio):
        yield audio[offset:offset + n]
        offset += n


denoiser = RNNoise()


wav_path = 'test.wav'


TARGET_SR = 22000
TEMP_FILE = 'test.wav'

sound = AudioSegment.from_wav(wav_path)
sound = sound.set_frame_rate(TARGET_SR)
sound = sound.set_channels(1)

sound.export(TEMP_FILE,
             format="wav")

audio, sample_rate = read_wave(TEMP_FILE)
assert sample_rate == TARGET_SR

frames = frame_generator(10, audio, TARGET_SR)
frames = list(frames)
tups = [denoiser.process_frame(frame) for frame in frames]
denoised_frames = [tup[1] for tup in tups]

denoised_wav = np.concatenate([np.frombuffer(frame,
                                             dtype=np.int16)
                               for frame in denoised_frames])

wavfile.write('test_denoised.wav',
              TARGET_SR,
              denoised_wav)

我唯一得到的是：

Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

我认为它与库的加载有关，但是我不知道该修复什么以及如何修复它。有人经历过吗？

使用LoadLibrary RNNNoise的退出代码139（信号11：SIGSEGV中断）结束的过程

0 个答案: