How to use the pydub.exceptions.CouldntDecodeError function in pydub

setattr(self, attr, val)
        else:
            # normal construction
            try:
                data = data if isinstance(data, (basestring, bytes)) else data.read()
            except(OSError):
                d = b''
                reader = data.read(2 ** 31 - 1)
                while reader:
                    d += reader
                    reader = data.read(2 ** 31 - 1)
                data = d

            wav_data = read_wav_audio(data)
            if not wav_data:
                raise CouldntDecodeError("Couldn't read wav audio from data")

            self.channels = wav_data.channels
            self.sample_width = wav_data.bits_per_sample // 8
            self.frame_rate = wav_data.sample_rate
            self.frame_width = self.channels * self.sample_width
            self._data = wav_data.raw_data

        # Convert 24-bit audio to 32-bit audio.
        # (stdlib audioop and array modules do not support 24-bit data)
        if self.sample_width == 3:
            byte_buffer = BytesIO()

            # Workaround for python 2 vs python 3. _data in 2.x are length-1 strings,
            # And in 3.x are ints.
            pack_fmt = 'BBB' if isinstance(self._data[0], int) else 'ccc'

tango.tstart = 0
				tango.tend = 0
		
			tango.duration = len(song)

			data.updateTango(tango)
		except FileNotFoundError:
			print (start+"We can not find the file of "+str(tango.ID));
			backspace(sizeBackSpace)
			print(toPrint)
		except KeyboardInterrupt:
			backspace(sizeBackSpace)
			print(toPrint)
			print(start+"KeyboardInterrupt")
			exit(0)
		except pydub.exceptions.CouldntDecodeError as e:
			clear()
			backspace(sizeBackSpace)
			print(toPrint)
			print(start+"Can't Decode "+str(tango.ID)+" "+tango.path)
			
			pass

.. warning:: This method uses the program 'sox' to perform the task. While this is very fast for a single
                     function call, the IO may add up for large numbers of AudioSegment objects.

        :param duration_s: The number of seconds of "silence" that must be present in a row to
                           be stripped.
        :param threshold_percentage: Silence is defined as any samples whose absolute value is below
                                     `threshold_percentage * max(abs(samples in this segment))`.
        :param console_output: If True, will pipe all sox output to the console.
        :returns: A copy of this AudioSegment, but whose silence has been removed.
        """
        command = "sox {inputfile} -t wav {outputfile} silence -l 1 0.1 "\
            + str(threshold_percentage) + "% -1 " + str(float(duration_s)) + " " + str(threshold_percentage) + "%"
        try:
            result = self._execute_sox_cmd(command)
        except pydub.exceptions.CouldntDecodeError:
            warnings.warn("After silence filtering, the resultant WAV file is corrupted, and so its data cannot be retrieved. Perhaps try a smaller threshold value.", stacklevel=2)
            # Return a copy of us
            result = AudioSegment(self.seg, self.name)
        return result

def process(self):
        """Normalize &c. the audio file, if possible

        When we have an audio processor, process the file
        (i.e. normalize, remove silence, convert to preferred format)
        and update self.
        """
        if processor:
            try:
                new_fp, new_sffx = processor.process(self)
            except pydub.exceptions.CouldntDecodeError:
                self.action = Action.Delete
            else:
                self.file_path = new_fp
                self.file_extension = new_sffx

if not fmt or fmt[0].size < 16:
        raise CouldntDecodeError("Couldn't find fmt header in wav data")
    fmt = fmt[0]
    pos = fmt.position + 8
    audio_format = struct.unpack_from('

"-"
        ]

        if parameters is not None:
            # extend arguments with arbitrary set
            conversion_command.extend(parameters)

        log_conversion(conversion_command)

        p = subprocess.Popen(conversion_command, stdin=stdin_parameter,
                             stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        p_out, p_err = p.communicate(input=stdin_data)

        if p.returncode != 0 or len(p_out) == 0:
            file.close()
            raise CouldntDecodeError(
                "Decoding failed. ffmpeg returned error code: {0}\n\nOutput from ffmpeg/avlib:\n\n{1}".format(
                    p.returncode, p_err))

        p_out = bytearray(p_out)
        fix_wav_headers(p_out)
        obj = cls._from_safe_wav(BytesIO(p_out))

        file.close()

        return obj

keep_silence (int): Amound of start/end silence to keep (in ms).

    Returns:
        list: The output file names.
    """
    def _export_segments(segments):
        fnames = []
        for i, seg in enumerate(segments):
            fname = '{}_{}.wav'.format(os.path.splitext(file_name)[0], i)
            seg.export(os.path.join(output_path, fname), format='wav')
            fnames.append(fname)
        return fnames

    try:
        x = AudioSegment.from_wav(os.path.join(dataset_path, file_name))
    except CouldntDecodeError:
        x = AudioSegment.empty()

    # Skip audio clips that are not longer than the padding
    # Padding refers to the silence that is kept for each segment
    padding = keep_silence * 2
    if x.duration_seconds <= padding / 1000:
        return _export_segments([x])

    # Determine silence threshold based on whether the audio signal
    # consists entirely of transients.
    if _is_transients(x.get_array_of_samples(), x.frame_rate, n_window):
        threshold = transients_threshold
    else:
        threshold = default_threshold

    segments = silence.split_on_silence(

def read_wav_audio(data, headers=None):
    if not headers:
        headers = extract_wav_headers(data)

    fmt = [x for x in headers if x.id == b'fmt ']
    if not fmt or fmt[0].size < 16:
        raise CouldntDecodeError("Couldn't find fmt header in wav data")
    fmt = fmt[0]
    pos = fmt.position + 8
    audio_format = struct.unpack_from('

def read_wav_audio(data, headers=None):
    if not headers:
        headers = extract_wav_headers(data)

    fmt = [x for x in headers if x.id == b'fmt ']
    if not fmt or fmt[0].size < 16:
        raise CouldntDecodeError("Couldn't find fmt header in wav data")
    fmt = fmt[0]
    pos = fmt.position + 8
    audio_format = struct.unpack_from('

if parameters is not None:
            # extend arguments with arbitrary set
            conversion_command.extend(parameters)

        log_conversion(conversion_command)

        with open(os.devnull, 'rb') as devnull:
            p = subprocess.Popen(conversion_command, stdin=devnull, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        p_out, p_err = p.communicate()

        log_subprocess_output(p_out)
        log_subprocess_output(p_err)

        try:
            if p.returncode != 0:
                raise CouldntDecodeError(
                    "Decoding failed. ffmpeg returned error code: {0}\n\nOutput from ffmpeg/avlib:\n\n{1}".format(
                        p.returncode, p_err))
            obj = cls._from_safe_wav(output)
        finally:
            input_file.close()
            output.close()
            os.unlink(input_file.name)
            os.unlink(output.name)

        return obj