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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 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):
"""Return human-readable representation of segment."""
return ("%s: num_samples=%d, sample_rate=%d, duration=%.2fsec, "
@ -108,13 +82,13 @@ class AudioSegment(object):
def concatenate(cls, *segments):
"""Concatenate an arbitrary number of audio segments together.
:param *segments: Input audio segments
:param *segments: Input audio segments.
:type *segments: AudioSegment
:return: Audio segment instance.
:return: Audio segment instance as concatenating results.
:rtype: AudioSegment
:raises ValueError: If number of segments is zero, or if sample_rate
not match between two audio segments
:raises TypeError: If item of segments is not Audiosegment instance
:raises ValueError: If the number of segments is zero, or if the
sample_rate of any two segments does not match.
:raises TypeError: If every segment in is not Audiosegment instance.
"""
# Perform basic sanity-checks.
if len(segments) == 0:
@ -155,12 +129,13 @@ class AudioSegment(object):
format='WAV',
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
the entire file into the memory which can be incredibly wasteful.
:param file: Input audio filepath
:type file: basestring
:param file: Input audio filepath or file object.
:type file: 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.
@ -169,9 +144,11 @@ class AudioSegment(object):
from the end. If not provided, the default behvaior is
to read to the end of the file.
: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
: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)
sample_rate = sndfile.samplerate
@ -184,40 +161,60 @@ class AudioSegment(object):
end += duration
if start < 0.0:
raise ValueError("The slice start position (%f s) is out of "
"bounds. Filename: %s" % (start, file))
"bounds." % start)
if end < 0.0:
raise ValueError("The slice end position (%f s) is out of bounds "
"Filename: %s" % (end, file))
raise ValueError("The slice end position (%f s) is out of bounds." %
end)
if start > end:
raise ValueError("The slice start position (%f s) is later than "
"the slice end position (%f s)." % (start, end))
if end > duration:
raise ValueError("The slice end time (%f s) is out of bounds "
"(> %f s) Filename: %s" % (end, duration, file))
raise ValueError("The slice end position (%f s) is out of bounds "
"(> %f s)" % (end, duration))
start_frame = int(start * sample_rate)
end_frame = int(end * sample_rate)
sndfile.seek(start_frame)
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
sample rate.
:param duration: Length of silence in seconds
:param duration: Length of silence in seconds.
:type duration: float
:param sample_rate: Sample rate
:param sample_rate: Sample rate.
:type sample_rate: float
:return: Silence of the given duration
:return: Silent AudioSegment instance of the given duration.
:rtype: AudioSegment
"""
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'):
"""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'.
:type dtype: str
:return: Byte string containing audio content.
@ -258,16 +255,17 @@ class AudioSegment(object):
self._samples = np.interp(new_indices, old_indices, self._samples)
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.
:param target_db: Target RMS value in decibels. This value should
be less than 0.0 as 0.0 is full-scale audio.
:param target_db: Target RMS value in decibels. This value should be
less than 0.0 as 0.0 is full-scale audio.
:type target_db: float
:param max_gain_db: Max amount of gain in dB that can be applied for
normalization. This is to prevent nans when attempting
to normalize a signal consisting of all zeros.
normalization. This is to prevent nans when
attempting to normalize a signal consisting of
all zeros.
:type max_gain_db: float
:raises ValueError: If the required gain to normalize the segment to
the target_db value exceeds max_gain_db.
@ -275,9 +273,9 @@ class AudioSegment(object):
gain = target_db - self.rms_db
if gain > max_gain_db:
raise ValueError(
"Unable to normalize segment to %f dB because it has an RMS "
"value of %f dB and the difference exceeds max_gain_db (%f dB)"
% (target_db, self.rms_db, max_gain_db))
"Unable to normalize segment to %f dB because the "
"the probable gain have exceeds max_gain_db (%f dB)" %
(target_db, max_gain_db))
self.apply_gain(min(max_gain_db, target_db - self.rms_db))
def normalize_online_bayesian(self,
@ -285,30 +283,30 @@ class AudioSegment(object):
prior_db,
prior_samples,
startup_delay=0.0):
"""Normalize audio using a production-compatible online/causal algorithm.
This uses an exponential likelihood and gamma prior to make online estimates
of the RMS even when there are very few samples.
"""Normalize audio using a production-compatible online/causal
algorithm. This uses an exponential likelihood and gamma prior to
make online estimates of the RMS even when there are very few samples.
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
:param prior_db: Prior RMS estimate in decibels
:param prior_db: Prior RMS estimate in decibels.
: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
:param startup_delay: Default 0.0 s. If provided, this function will accrue
statistics for the first startup_delay seconds before
applying online normalization.
:param startup_delay: Default 0.0 s. If provided, this function will
accrue statistics for the first startup_delay
seconds before applying online normalization.
:type startup_delay: float
"""
# Estimate total RMS online
# Estimate total RMS online.
startup_sample_idx = min(self.num_samples - 1,
int(self.sample_rate * startup_delay))
prior_mean_squared = 10.**(prior_db / 10.)
prior_sum_of_squares = prior_mean_squared * prior_samples
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:
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) /
(sample_count + prior_samples))
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
self.apply_gain(gain_db)
def resample(self, target_sample_rate, quality='sinc_medium'):
"""Resample audio segment. This resamples the audio to a new
sample rate.
"""Resample the audio to a target sample rate.
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
:param quality: One of {'sinc_fastest', 'sinc_medium', 'sinc_best'}.
Sets resampling speed/quality tradeoff.
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
new_samples = scikits.samplerate.resample(
self._samples = scikits.samplerate.resample(
self._samples, r=resample_ratio, type=quality)
self._samples = new_samples
self._sample_rate = target_sample_rate
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.
:param duration: Length of silence in seconds to pad
:param duration: Length of silence in seconds to pad.
:type duration: float
:param sides: Position for padding
'beginning' - adds silence in the beginning
'end' - adds silence in the end
:param sides: Position for padding:
'beginning' - adds silence in the beginning;
'end' - adds silence in the end;
'both' - adds silence in both the beginning and the end.
:type sides: str
:raises ValueError: If the sides not surport
:raises ValueError: If sides is not supported.
"""
if duration == 0.0:
return self
@ -367,51 +363,41 @@ class AudioSegment(object):
else:
raise ValueError("Unknown value for the kwarg %s" % sides)
self._samples = padded._samples
self._sample_rate = padded._sample_rate
def subsegment(self, start_sec=None, end_sec=None):
"""Return new AudioSegment containing audio between given boundaries.
:param start_sec: Beginning of subsegment in seconds,
(beginning of segment if None).
:param start_sec: Beginning of subsegment in seconds.
:type start_sec: float
:param end_sec: End of subsegment in seconds,
(end of segment if None).
:param end_sec: End of subsegment in seconds.
:type end_sec: float
:return: New AudioSegment containing specified subsegment.
:rtype: AudioSegment
"""
start_sec = 0.0 if start_sec is None else start_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:
start_sec = self.duration + start_sec
if end_sec < 0.0:
end_sec = self.duration + end_sec
start_sample = int(round(start_sec * self._sample_rate))
end_sample = int(round(end_sec * self._sample_rate))
samples = self._samples[start_sample:end_sample]
return type(self)(samples, sample_rate=self._sample_rate)
self._samples = self._samples[start_sample:end_sample]
def random_subsegment(self, subsegment_length, rng=None):
"""Return a random subsegment of a specified length in seconds.
:param subsegment_length: Subsegment length in seconds.
:type subsegment_length: float
:param rng: Random number generator state
:param rng: Random number generator state.
:type rng: random.Random
:return: New AudioSegment containing random subsegment
of original segment
:rtype: AudioSegment
:raises ValueError: If the length of subsegment greater than origineal
segemnt.
:raises ValueError: If the length of subsegment greater than
origineal segemnt.
"""
rng = random.Random() if rng is None else rng
if subsegment_length > self.duration:
raise ValueError("Length of subsegment must not be greater "
"than original segment.")
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):
"""Convolve this audio segment with the given filter.
@ -420,10 +406,10 @@ class AudioSegment(object):
:param impulse_segment: Impulse response segments.
:type impulse_segment: AudioSegment
:param allow_resample: indicates whether resampling is allowed when
the impulse_segment has a different sample
rate from this signal.
:type allow_resample: boolean
:param allow_resample: Indicates whether resampling is allowed when
the impulse_segment has a different sample
rate from this signal.
:type allow_resample: bool
:raises ValueError: If the sample rate is not match between two
audio segments and resample is not allowed.
"""
@ -443,9 +429,10 @@ class AudioSegment(object):
:param impulse_segment: Impulse response segments.
:type impulse_segment: AudioSegment
:param allow_resample: indicates whether resampling is allowed when
the impulse_segment has a different sample rate from this signal.
:type allow_resample: boolean
:param allow_resample: Indicates whether resampling is allowed when
the impulse_segment has a different sample
rate from this signal.
:type allow_resample: bool
"""
target_db = self.rms_db
self.convolve(impulse_segment, allow_resample=allow_resample)
@ -465,42 +452,36 @@ class AudioSegment(object):
:type noise: AudioSegment
:param snr_dB: Signal-to-Noise Ratio, in decibels.
:type snr_dB: float
:param allow_downsampling: whether to allow the noise signal to be downsampled
to match the base signal sample rate.
:type allow_downsampling: boolean
:param max_gain_db: Maximum amount of gain to apply to noise signal before
adding it in. This is to prevent attempting to apply infinite
gain to a zero signal.
:param allow_downsampling: Whether to allow the noise signal to be
downsampled to match the base signal sample
rate.
:type allow_downsampling: bool
:param max_gain_db: Maximum amount of gain to apply to noise signal
before adding it in. This is to prevent attempting
to apply infinite gain to a zero signal.
:type max_gain_db: float
:param rng: Random number generator state.
:type rng: random.Random
:raises ValueError: If the sample rate does not match between the two audio segments
and resample is not allowed, or if the duration of noise segments
is shorter than original audio segments.
:type rng: None|random.Random
:raises ValueError: If the sample rate does not match between the two
audio segments and resample is not allowed, or if
the duration of noise segments is shorter than
original audio segments.
"""
rng = random.Random() if rng is None else rng
if allow_downsampling and noise.sample_rate > self.sample_rate:
noise = noise.resample(self.sample_rate)
if noise.sample_rate != self.sample_rate:
raise ValueError("Noise sample rate (%d Hz) is not equal to "
"base signal sample rate (%d Hz)." %
(noise.sample_rate, self.sample_rate))
raise ValueError("Noise sample rate (%d Hz) is not equal to base "
"signal sample rate (%d Hz)." % (noise.sample_rate,
self.sample_rate))
if noise.duration < self.duration:
raise ValueError("Noise signal (%f sec) must be at "
"least as long as base signal (%f sec)." %
raise ValueError("Noise signal (%f sec) must be at least as long as"
" base signal (%f sec)." %
(noise.duration, self.duration))
noise_gain_db = self.rms_db - noise.rms_db - snr_dB
noise_gain_db = min(max_gain_db, noise_gain_db)
noise_subsegment = noise.random_subsegment(self.duration, rng=rng)
output = self + self.tranform_noise(noise_subsegment, noise_gain_db)
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)
noise_gain_db = min(self.rms_db - noise.rms_db - snr_dB, max_gain_db)
noise.random_subsegment(self.duration, rng=rng)
noise.apply_gain(noise_gain_db)
self.superimposed(noise)
@property
def samples(self):
@ -571,7 +552,7 @@ class AudioSegment(object):
Audio sample type is usually integer or float-point. For integer
type, float32 will be rescaled from [-1, 1] to the maximum range
supported by the integer type.
This is for writing a audio file.
"""
dtype = np.dtype(dtype)

55
data_utils/speech.py
Unescape View File

@ -67,20 +67,20 @@ class SpeechSegment(AudioSegment):
@classmethod
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
:return: Speech segment instance.
:rtype: SpeechSegment
:raises ValueError: If number of segments is zero, or if sample_rate
not match between two audio segments
:raises TypeError: If item of segments is not Audiosegment instance
:raises ValueError: If the number of segments is zero, or if the
sample_rate of any two segments does not match.
:raises TypeError: If every segment in is not Audiosegment instance.
"""
# Perform basic sanity-checks.
if len(segments) == 0:
raise ValueError("No audio segments are given to concatenate.")
sample_rate = segments[0]._sample_rate
transcripts = ""
for seg in segments:
if sample_rate != seg._sample_rate:
raise ValueError("Can't concatenate segments with "
@ -88,8 +88,49 @@ class SpeechSegment(AudioSegment):
if type(seg) is not cls:
raise TypeError("Only speech segments of the same type "
"instance can be concatenated.")
transcripts += seg._transcript
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
def transcript(self):

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