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PaddleSpeech
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add audio file

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pull/2/head
chrisxu2016 8 years ago
parent d1ee10be10
commit 5ca270d30a
2 changed files with 161 additions and 139 deletions
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245
data_utils/audio.py
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@ -47,32 +47,6 @@ class AudioSegment(object):
"""Return whether two objects are unequal.""" """Return whether two objects are unequal."""
return not self.__eq__(other) return not self.__eq__(other)
def __len__(self):
"""Returns length of segment in samples."""
return self.num_samples
def __add__(self, other):
"""Add samples from another segment to those of this segment and return
a new segment (sample-wise addition, not segment concatenation).
:param other: Segment containing samples to be
added in.
:type other: AudioSegment
:return: New segment containing resulting samples.
:rtype: AudioSegment
:raise TypeError: If sample rates of segments don't match,
or if length of segments don't match.
"""
if type(self) != type(other):
raise TypeError("Cannot add segment of different type: {}"
.format(type(other)))
if self._sample_rate != other._sample_rate:
raise TypeError("Sample rates must match to add segments.")
if len(self._samples) != len(other._samples):
raise TypeError("Segment lengths must match to add segments.")
samples = self.samples + other.samples
return type(self)(samples, sample_rate=self._sample_rate)
def __str__(self): def __str__(self):
"""Return human-readable representation of segment.""" """Return human-readable representation of segment."""
return ("%s: num_samples=%d, sample_rate=%d, duration=%.2fsec, " return ("%s: num_samples=%d, sample_rate=%d, duration=%.2fsec, "
@ -108,13 +82,13 @@ class AudioSegment(object):
def concatenate(cls, *segments): def concatenate(cls, *segments):
"""Concatenate an arbitrary number of audio segments together. """Concatenate an arbitrary number of audio segments together.
:param *segments: Input audio segments :param *segments: Input audio segments.
:type *segments: AudioSegment :type *segments: AudioSegment
:return: Audio segment instance. :return: Audio segment instance as concatenating results.
:rtype: AudioSegment :rtype: AudioSegment
:raises ValueError: If number of segments is zero, or if sample_rate :raises ValueError: If the number of segments is zero, or if the
not match between two audio segments sample_rate of any two segments does not match.
:raises TypeError: If item of segments is not Audiosegment instance :raises TypeError: If every segment in is not Audiosegment instance.
""" """
# Perform basic sanity-checks. # Perform basic sanity-checks.
if len(segments) == 0: if len(segments) == 0:
@ -155,12 +129,13 @@ class AudioSegment(object):
format='WAV', format='WAV',
subtype=subtype_map[dtype]) subtype=subtype_map[dtype])
def slice_from_file(self, file, start=None, end=None): @classmethod
def slice_from_file(cls, file, start=None, end=None):
"""Loads a small section of an audio without having to load """Loads a small section of an audio without having to load
the entire file into the memory which can be incredibly wasteful. the entire file into the memory which can be incredibly wasteful.
:param file: Input audio filepath :param file: Input audio filepath or file object.
:type file: basestring :type file: basestring|file
:param start: Start time in seconds. If start is negative, it wraps :param start: Start time in seconds. If start is negative, it wraps
around from the end. If not provided, this function around from the end. If not provided, this function
reads from the very beginning. reads from the very beginning.
@ -169,9 +144,11 @@ class AudioSegment(object):
from the end. If not provided, the default behvaior is from the end. If not provided, the default behvaior is
to read to the end of the file. to read to the end of the file.
:type end: float :type end: float
:return: The specified slice of input audio in the audio.AudioSegment format. :return: AudioSegment instance of the specified slice of the input
audio file.
:rtype: AudioSegment :rtype: AudioSegment
:rainse ValueError: If the position is error, or if the time is out bounds. :raise ValueError: If start or end is incorrectly set, e.g. out of
bounds in time.
""" """
sndfile = soundfile.SoundFile(file) sndfile = soundfile.SoundFile(file)
sample_rate = sndfile.samplerate sample_rate = sndfile.samplerate
@ -184,40 +161,60 @@ class AudioSegment(object):
end += duration end += duration
if start < 0.0: if start < 0.0:
raise ValueError("The slice start position (%f s) is out of " raise ValueError("The slice start position (%f s) is out of "
"bounds. Filename: %s" % (start, file)) "bounds." % start)
if end < 0.0: if end < 0.0:
raise ValueError("The slice end position (%f s) is out of bounds " raise ValueError("The slice end position (%f s) is out of bounds." %
"Filename: %s" % (end, file)) end)
if start > end: if start > end:
raise ValueError("The slice start position (%f s) is later than " raise ValueError("The slice start position (%f s) is later than "
"the slice end position (%f s)." % (start, end)) "the slice end position (%f s)." % (start, end))
if end > duration: if end > duration:
raise ValueError("The slice end time (%f s) is out of bounds " raise ValueError("The slice end position (%f s) is out of bounds "
"(> %f s) Filename: %s" % (end, duration, file)) "(> %f s)" % (end, duration))
start_frame = int(start * sample_rate) start_frame = int(start * sample_rate)
end_frame = int(end * sample_rate) end_frame = int(end * sample_rate)
sndfile.seek(start_frame) sndfile.seek(start_frame)
data = sndfile.read(frames=end_frame - start_frame, dtype='float32') data = sndfile.read(frames=end_frame - start_frame, dtype='float32')
return type(self)(data, sample_rate) return cls(data, sample_rate)
def make_silence(self, duration, sample_rate): @classmethod
def make_silence(cls, duration, sample_rate):
"""Creates a silent audio segment of the given duration and """Creates a silent audio segment of the given duration and
sample rate. sample rate.
:param duration: Length of silence in seconds :param duration: Length of silence in seconds.
:type duration: float :type duration: float
:param sample_rate: Sample rate :param sample_rate: Sample rate.
:type sample_rate: float :type sample_rate: float
:return: Silence of the given duration :return: Silent AudioSegment instance of the given duration.
:rtype: AudioSegment :rtype: AudioSegment
""" """
samples = np.zeros(int(duration * sample_rate)) samples = np.zeros(int(duration * sample_rate))
return type(self)(samples, sample_rate) return cls(samples, sample_rate)
def superimposed(self, other):
"""Add samples from another segment to those of this segment
(sample-wise addition, not segment concatenation).
:param other: Segment containing samples to be added in.
:type other: AudioSegments
:raise TypeError: If type of two segments don't match.
:raise ValueError: If the sample_rate of two segments not equal, or if
the length of segments don't match.
"""
if type(self) != type(other):
raise TypeError("Cannot add segments of different types: %s "
"and %s." % (type(self), type(other)))
if self._sample_rate != other._sample_rate:
raise ValueError("Sample rates must match to add segments.")
if len(self._samples) != len(other._samples):
raise ValueError("Segment lengths must match to add segments.")
self._samples += other._samples
def to_bytes(self, dtype='float32'): def to_bytes(self, dtype='float32'):
"""Create a byte string containing the audio content. """Create a byte string containing the audio content.
:param dtype: Data type for export samples. Options: 'int16', 'int32', :param dtype: Data type for export samples. Options: 'int16','int32',
'float32', 'float64'. Default is 'float32'. 'float32', 'float64'. Default is 'float32'.
:type dtype: str :type dtype: str
:return: Byte string containing audio content. :return: Byte string containing audio content.
@ -258,16 +255,17 @@ class AudioSegment(object):
self._samples = np.interp(new_indices, old_indices, self._samples) self._samples = np.interp(new_indices, old_indices, self._samples)
def normalize(self, target_db=-20, max_gain_db=300.0): def normalize(self, target_db=-20, max_gain_db=300.0):
"""Normalize audio to be desired RMS value in decibels. """Normalize audio to be of the desired RMS value in decibels.
Note that this is an in-place transformation. Note that this is an in-place transformation.
:param target_db: Target RMS value in decibels. This value should :param target_db: Target RMS value in decibels. This value should be
be less than 0.0 as 0.0 is full-scale audio. less than 0.0 as 0.0 is full-scale audio.
:type target_db: float :type target_db: float
:param max_gain_db: Max amount of gain in dB that can be applied for :param max_gain_db: Max amount of gain in dB that can be applied for
normalization. This is to prevent nans when attempting normalization. This is to prevent nans when
to normalize a signal consisting of all zeros. attempting to normalize a signal consisting of
all zeros.
:type max_gain_db: float :type max_gain_db: float
:raises ValueError: If the required gain to normalize the segment to :raises ValueError: If the required gain to normalize the segment to
the target_db value exceeds max_gain_db. the target_db value exceeds max_gain_db.
@ -275,9 +273,9 @@ class AudioSegment(object):
gain = target_db - self.rms_db gain = target_db - self.rms_db
if gain > max_gain_db: if gain > max_gain_db:
raise ValueError( raise ValueError(
"Unable to normalize segment to %f dB because it has an RMS " "Unable to normalize segment to %f dB because the "
"value of %f dB and the difference exceeds max_gain_db (%f dB)" "the probable gain have exceeds max_gain_db (%f dB)" %
% (target_db, self.rms_db, max_gain_db)) (target_db, max_gain_db))
self.apply_gain(min(max_gain_db, target_db - self.rms_db)) self.apply_gain(min(max_gain_db, target_db - self.rms_db))
def normalize_online_bayesian(self, def normalize_online_bayesian(self,
@ -285,30 +283,30 @@ class AudioSegment(object):
prior_db, prior_db,
prior_samples, prior_samples,
startup_delay=0.0): startup_delay=0.0):
"""Normalize audio using a production-compatible online/causal algorithm. """Normalize audio using a production-compatible online/causal
This uses an exponential likelihood and gamma prior to make online estimates algorithm. This uses an exponential likelihood and gamma prior to
of the RMS even when there are very few samples. make online estimates of the RMS even when there are very few samples.
Note that this is an in-place transformation. Note that this is an in-place transformation.
:param target_db: Target RMS value in decibels :param target_db: Target RMS value in decibels.
:type target_bd: float :type target_bd: float
:param prior_db: Prior RMS estimate in decibels :param prior_db: Prior RMS estimate in decibels.
:type prior_db: float :type prior_db: float
:param prior_samples: Prior strength in number of samples :param prior_samples: Prior strength in number of samples.
:type prior_samples: float :type prior_samples: float
:param startup_delay: Default 0.0 s. If provided, this function will accrue :param startup_delay: Default 0.0 s. If provided, this function will
statistics for the first startup_delay seconds before accrue statistics for the first startup_delay
applying online normalization. seconds before applying online normalization.
:type startup_delay: float :type startup_delay: float
""" """
# Estimate total RMS online # Estimate total RMS online.
startup_sample_idx = min(self.num_samples - 1, startup_sample_idx = min(self.num_samples - 1,
int(self.sample_rate * startup_delay)) int(self.sample_rate * startup_delay))
prior_mean_squared = 10.**(prior_db / 10.) prior_mean_squared = 10.**(prior_db / 10.)
prior_sum_of_squares = prior_mean_squared * prior_samples prior_sum_of_squares = prior_mean_squared * prior_samples
cumsum_of_squares = np.cumsum(self.samples**2) cumsum_of_squares = np.cumsum(self.samples**2)
sample_count = np.arange(len(self)) + 1 sample_count = np.arange(len(self.num_samples)) + 1
if startup_sample_idx > 0: if startup_sample_idx > 0:
cumsum_of_squares[:startup_sample_idx] = \ cumsum_of_squares[:startup_sample_idx] = \
cumsum_of_squares[startup_sample_idx] cumsum_of_squares[startup_sample_idx]
@ -317,42 +315,40 @@ class AudioSegment(object):
mean_squared_estimate = ((cumsum_of_squares + prior_sum_of_squares) / mean_squared_estimate = ((cumsum_of_squares + prior_sum_of_squares) /
(sample_count + prior_samples)) (sample_count + prior_samples))
rms_estimate_db = 10 * np.log10(mean_squared_estimate) rms_estimate_db = 10 * np.log10(mean_squared_estimate)
# Compute required time-varying gain # Compute required time-varying gain.
gain_db = target_db - rms_estimate_db gain_db = target_db - rms_estimate_db
self.apply_gain(gain_db) self.apply_gain(gain_db)
def resample(self, target_sample_rate, quality='sinc_medium'): def resample(self, target_sample_rate, quality='sinc_medium'):
"""Resample audio segment. This resamples the audio to a new """Resample the audio to a target sample rate.
sample rate.
Note that this is an in-place transformation. Note that this is an in-place transformation.
:param target_sample_rate: Target sample rate :param target_sample_rate: Target sample rate.
:type target_sample_rate: int :type target_sample_rate: int
:param quality: One of {'sinc_fastest', 'sinc_medium', 'sinc_best'}. :param quality: One of {'sinc_fastest', 'sinc_medium', 'sinc_best'}.
Sets resampling speed/quality tradeoff. Sets resampling speed/quality tradeoff.
See http://www.mega-nerd.com/SRC/api_misc.html#Converters See http://www.mega-nerd.com/SRC/api_misc.html#Converters
:type quality: basestring :type quality: str
""" """
resample_ratio = target_sample_rate / self._sample_rate resample_ratio = target_sample_rate / self._sample_rate
new_samples = scikits.samplerate.resample( self._samples = scikits.samplerate.resample(
self._samples, r=resample_ratio, type=quality) self._samples, r=resample_ratio, type=quality)
self._samples = new_samples
self._sample_rate = target_sample_rate self._sample_rate = target_sample_rate
def pad_silence(self, duration, sides='both'): def pad_silence(self, duration, sides='both'):
"""Pads this audio sample with a period of silence. """Pad this audio sample with a period of silence.
Note that this is an in-place transformation. Note that this is an in-place transformation.
:param duration: Length of silence in seconds to pad :param duration: Length of silence in seconds to pad.
:type duration: float :type duration: float
:param sides: Position for padding :param sides: Position for padding:
'beginning' - adds silence in the beginning 'beginning' - adds silence in the beginning;
'end' - adds silence in the end 'end' - adds silence in the end;
'both' - adds silence in both the beginning and the end. 'both' - adds silence in both the beginning and the end.
:type sides: str :type sides: str
:raises ValueError: If the sides not surport :raises ValueError: If sides is not supported.
""" """
if duration == 0.0: if duration == 0.0:
return self return self
@ -367,51 +363,41 @@ class AudioSegment(object):
else: else:
raise ValueError("Unknown value for the kwarg %s" % sides) raise ValueError("Unknown value for the kwarg %s" % sides)
self._samples = padded._samples self._samples = padded._samples
self._sample_rate = padded._sample_rate
def subsegment(self, start_sec=None, end_sec=None): def subsegment(self, start_sec=None, end_sec=None):
"""Return new AudioSegment containing audio between given boundaries. """Return new AudioSegment containing audio between given boundaries.
:param start_sec: Beginning of subsegment in seconds, :param start_sec: Beginning of subsegment in seconds.
(beginning of segment if None).
:type start_sec: float :type start_sec: float
:param end_sec: End of subsegment in seconds, :param end_sec: End of subsegment in seconds.
(end of segment if None).
:type end_sec: float :type end_sec: float
:return: New AudioSegment containing specified subsegment.
:rtype: AudioSegment
""" """
start_sec = 0.0 if start_sec is None else start_sec start_sec = 0.0 if start_sec is None else start_sec
end_sec = self.duration if end_sec is None else end_sec end_sec = self.duration if end_sec is None else end_sec
# negative boundaries are relative to end of segment
if start_sec < 0.0: if start_sec < 0.0:
start_sec = self.duration + start_sec start_sec = self.duration + start_sec
if end_sec < 0.0: if end_sec < 0.0:
end_sec = self.duration + end_sec end_sec = self.duration + end_sec
start_sample = int(round(start_sec * self._sample_rate)) start_sample = int(round(start_sec * self._sample_rate))
end_sample = int(round(end_sec * self._sample_rate)) end_sample = int(round(end_sec * self._sample_rate))
samples = self._samples[start_sample:end_sample] self._samples = self._samples[start_sample:end_sample]
return type(self)(samples, sample_rate=self._sample_rate)
def random_subsegment(self, subsegment_length, rng=None): def random_subsegment(self, subsegment_length, rng=None):
"""Return a random subsegment of a specified length in seconds. """Return a random subsegment of a specified length in seconds.
:param subsegment_length: Subsegment length in seconds. :param subsegment_length: Subsegment length in seconds.
:type subsegment_length: float :type subsegment_length: float
:param rng: Random number generator state :param rng: Random number generator state.
:type rng: random.Random :type rng: random.Random
:return: New AudioSegment containing random subsegment :raises ValueError: If the length of subsegment greater than
of original segment origineal segemnt.
:rtype: AudioSegment
:raises ValueError: If the length of subsegment greater than origineal
segemnt.
""" """
rng = random.Random() if rng is None else rng rng = random.Random() if rng is None else rng
if subsegment_length > self.duration: if subsegment_length > self.duration:
raise ValueError("Length of subsegment must not be greater " raise ValueError("Length of subsegment must not be greater "
"than original segment.") "than original segment.")
start_time = rng.uniform(0.0, self.duration - subsegment_length) start_time = rng.uniform(0.0, self.duration - subsegment_length)
return self.subsegment(start_time, start_time + subsegment_length) self.subsegment(start_time, start_time + subsegment_length)
def convolve(self, impulse_segment, allow_resample=False): def convolve(self, impulse_segment, allow_resample=False):
"""Convolve this audio segment with the given filter. """Convolve this audio segment with the given filter.
@ -420,10 +406,10 @@ class AudioSegment(object):
:param impulse_segment: Impulse response segments. :param impulse_segment: Impulse response segments.
:type impulse_segment: AudioSegment :type impulse_segment: AudioSegment
:param allow_resample: indicates whether resampling is allowed when :param allow_resample: Indicates whether resampling is allowed when
the impulse_segment has a different sample the impulse_segment has a different sample
rate from this signal. rate from this signal.
:type allow_resample: boolean :type allow_resample: bool
:raises ValueError: If the sample rate is not match between two :raises ValueError: If the sample rate is not match between two
audio segments and resample is not allowed. audio segments and resample is not allowed.
""" """
@ -443,9 +429,10 @@ class AudioSegment(object):
:param impulse_segment: Impulse response segments. :param impulse_segment: Impulse response segments.
:type impulse_segment: AudioSegment :type impulse_segment: AudioSegment
:param allow_resample: indicates whether resampling is allowed when :param allow_resample: Indicates whether resampling is allowed when
the impulse_segment has a different sample rate from this signal. the impulse_segment has a different sample
:type allow_resample: boolean rate from this signal.
:type allow_resample: bool
""" """
target_db = self.rms_db target_db = self.rms_db
self.convolve(impulse_segment, allow_resample=allow_resample) self.convolve(impulse_segment, allow_resample=allow_resample)
@ -465,42 +452,36 @@ class AudioSegment(object):
:type noise: AudioSegment :type noise: AudioSegment
:param snr_dB: Signal-to-Noise Ratio, in decibels. :param snr_dB: Signal-to-Noise Ratio, in decibels.
:type snr_dB: float :type snr_dB: float
:param allow_downsampling: whether to allow the noise signal to be downsampled :param allow_downsampling: Whether to allow the noise signal to be
to match the base signal sample rate. downsampled to match the base signal sample
:type allow_downsampling: boolean rate.
:param max_gain_db: Maximum amount of gain to apply to noise signal before :type allow_downsampling: bool
adding it in. This is to prevent attempting to apply infinite :param max_gain_db: Maximum amount of gain to apply to noise signal
gain to a zero signal. before adding it in. This is to prevent attempting
to apply infinite gain to a zero signal.
:type max_gain_db: float :type max_gain_db: float
:param rng: Random number generator state. :param rng: Random number generator state.
:type rng: random.Random :type rng: None|random.Random
:raises ValueError: If the sample rate does not match between the two audio segments :raises ValueError: If the sample rate does not match between the two
and resample is not allowed, or if the duration of noise segments audio segments and resample is not allowed, or if
is shorter than original audio segments. the duration of noise segments is shorter than
original audio segments.
""" """
rng = random.Random() if rng is None else rng rng = random.Random() if rng is None else rng
if allow_downsampling and noise.sample_rate > self.sample_rate: if allow_downsampling and noise.sample_rate > self.sample_rate:
noise = noise.resample(self.sample_rate) noise = noise.resample(self.sample_rate)
if noise.sample_rate != self.sample_rate: if noise.sample_rate != self.sample_rate:
raise ValueError("Noise sample rate (%d Hz) is not equal to " raise ValueError("Noise sample rate (%d Hz) is not equal to base "
"base signal sample rate (%d Hz)." % "signal sample rate (%d Hz)." % (noise.sample_rate,
(noise.sample_rate, self.sample_rate)) self.sample_rate))
if noise.duration < self.duration: if noise.duration < self.duration:
raise ValueError("Noise signal (%f sec) must be at " raise ValueError("Noise signal (%f sec) must be at least as long as"
"least as long as base signal (%f sec)." % " base signal (%f sec)." %
(noise.duration, self.duration)) (noise.duration, self.duration))
noise_gain_db = self.rms_db - noise.rms_db - snr_dB noise_gain_db = min(self.rms_db - noise.rms_db - snr_dB, max_gain_db)
noise_gain_db = min(max_gain_db, noise_gain_db) noise.random_subsegment(self.duration, rng=rng)
noise_subsegment = noise.random_subsegment(self.duration, rng=rng) noise.apply_gain(noise_gain_db)
output = self + self.tranform_noise(noise_subsegment, noise_gain_db) self.superimposed(noise)
self._samples = output._samples
self._sample_rate = output._sample_rate
def tranform_noise(self, noise_subsegment, noise_gain_db):
""" tranform noise file
"""
return type(self)(noise_subsegment._samples * (10.**(
noise_gain_db / 20.)), noise_subsegment._sample_rate)
@property @property
def samples(self): def samples(self):
@ -571,7 +552,7 @@ class AudioSegment(object):
Audio sample type is usually integer or float-point. For integer Audio sample type is usually integer or float-point. For integer
type, float32 will be rescaled from [-1, 1] to the maximum range type, float32 will be rescaled from [-1, 1] to the maximum range
supported by the integer type. supported by the integer type.
This is for writing a audio file. This is for writing a audio file.
""" """
dtype = np.dtype(dtype) dtype = np.dtype(dtype)

55
data_utils/speech.py
Unescape View File

@ -67,20 +67,20 @@ class SpeechSegment(AudioSegment):
@classmethod @classmethod
def concatenate(cls, *segments): def concatenate(cls, *segments):
"""Concatenate an arbitrary number of audio segments together. """Concatenate an arbitrary number of speech segments together.
:param *segments: Input speech segments :param *segments: Input speech segments.
:type *segments: SpeechSegment :type *segments: SpeechSegment
:return: Speech segment instance. :return: Speech segment instance.
:rtype: SpeechSegment :rtype: SpeechSegment
:raises ValueError: If number of segments is zero, or if sample_rate :raises ValueError: If the number of segments is zero, or if the
not match between two audio segments sample_rate of any two segments does not match.
:raises TypeError: If item of segments is not Audiosegment instance :raises TypeError: If every segment in is not Audiosegment instance.
""" """
# Perform basic sanity-checks.
if len(segments) == 0: if len(segments) == 0:
raise ValueError("No audio segments are given to concatenate.") raise ValueError("No audio segments are given to concatenate.")
sample_rate = segments[0]._sample_rate sample_rate = segments[0]._sample_rate
transcripts = ""
for seg in segments: for seg in segments:
if sample_rate != seg._sample_rate: if sample_rate != seg._sample_rate:
raise ValueError("Can't concatenate segments with " raise ValueError("Can't concatenate segments with "
@ -88,8 +88,49 @@ class SpeechSegment(AudioSegment):
if type(seg) is not cls: if type(seg) is not cls:
raise TypeError("Only speech segments of the same type " raise TypeError("Only speech segments of the same type "
"instance can be concatenated.") "instance can be concatenated.")
transcripts += seg._transcript
samples = np.concatenate([seg.samples for seg in segments]) samples = np.concatenate([seg.samples for seg in segments])
return cls(samples, sample_rate, seg._transcript) return cls(samples, sample_rate, transcripts)
@classmethod
def slice_from_file(cls, filepath, start=None, end=None, transcript=""):
"""Loads a small section of an speech without having to load
the entire file into the memory which can be incredibly wasteful.
:param filepath: Filepath or file object to audio file.
:type filepath: basestring|file
:param start: Start time in seconds. If start is negative, it wraps
around from the end. If not provided, this function
reads from the very beginning.
:type start: float
:param end: End time in seconds. If end is negative, it wraps around
from the end. If not provided, the default behvaior is
to read to the end of the file.
:type end: float
:param transcript: Transcript text for the speech. if not provided,
the defaults is an empty string.
:type transript: basestring
:return: SpeechSegment instance of the specified slice of the input
speech file.
:rtype: SpeechSegment
"""
audio = Audiosegment.slice_from_file(filepath, start, end)
return cls(audio.samples, audio.sample_rate, transcripts)
@classmethod
def make_silence(cls, duration, sample_rate):
"""Creates a silent speech segment of the given duration and
sample rate.
:param duration: Length of silence in seconds.
:type duration: float
:param sample_rate: Sample rate.
:type sample_rate: float
:return: Silence of the given duration.
:rtype: AudioSegment
"""
audio = AudioSegment.make_silence(duration, sample_rate)
return cls(audio.samples, audio.sample_rate, "")
@property @property
def transcript(self): def transcript(self):

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