You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
PaddleSpeech/paddlespeech/server/speechserving/utils/audio_process.py

106 lines
3.5 KiB

# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import wave
import numpy as np
from paddlespeech.cli.log import logger
def wav2pcm(wavfile, pcmfile, data_type=np.int16):
""" Save the wav file as a pcm file
Args:
wavfile (str): wav file path
pcmfile (str): pcm file save path
data_type (type, optional): pcm sample type. Defaults to np.int16.
"""
with open(wavfile, "rb") as f:
f.seek(0)
f.read(44)
data = np.fromfile(f, dtype=data_type)
data.tofile(pcmfile)
def pcm2wav(pcm_file, wav_file, channels=1, bits=16, sample_rate=16000):
"""Save the pcm file as a wav file
Args:
pcm_file (str): pcm file path
wav_file (str): wav file save path
channels (int, optional): audio channel. Defaults to 1.
bits (int, optional): Bit depth. Defaults to 16.
sample_rate (int, optional): sample rate. Defaults to 16000.
"""
pcmf = open(pcm_file, 'rb')
pcmdata = pcmf.read()
pcmf.close()
if bits % 8 != 0:
logger.error("bits % 8 must == 0. now bits:" + str(bits))
wavfile = wave.open(wav_file, 'wb')
wavfile.setnchannels(channels)
wavfile.setsampwidth(bits // 8)
wavfile.setframerate(sample_rate)
wavfile.writeframes(pcmdata)
wavfile.close()
def change_speed(sample_raw, speed_rate, sample_rate):
"""Change the audio speed by linear interpolation.
Note that this is an in-place transformation.
:param speed_rate: Rate of speed change:
speed_rate > 1.0, speed up the audio;
speed_rate = 1.0, unchanged;
speed_rate < 1.0, slow down the audio;
speed_rate <= 0.0, not allowed, raise ValueError.
:type speed_rate: float
:raises ValueError: If speed_rate <= 0.0.
"""
if speed_rate == 1.0:
return sample_raw
if speed_rate <= 0:
raise ValueError("speed_rate should be greater than zero.")
# numpy
# old_length = self._samples.shape[0]
# new_length = int(old_length / speed_rate)
# old_indices = np.arange(old_length)
# new_indices = np.linspace(start=0, stop=old_length, num=new_length)
# self._samples = np.interp(new_indices, old_indices, self._samples)
# sox, slow
try:
import soxbindings as sox
except ImportError:
try:
from paddlespeech.s2t.utils import dynamic_pip_install
package = "sox"
dynamic_pip_install.install(package)
package = "soxbindings"
dynamic_pip_install.install(package)
import soxbindings as sox
except Exception:
raise RuntimeError("Can not install soxbindings on your system.")
tfm = sox.Transformer()
tfm.set_globals(multithread=False)
tfm.tempo(speed_rate)
sample_speed = tfm.build_array(
input_array=sample_raw,
sample_rate_in=sample_rate).squeeze(-1).astype(np.float32).copy()
return sample_speed