本文整理匯總了Python中sounddevice.wait方法的典型用法代碼示例。如果您正苦於以下問題：Python sounddevice.wait方法的具體用法？Python sounddevice.wait怎麽用？Python sounddevice.wait使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類sounddevice的用法示例。
在下文中一共展示了sounddevice.wait方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: record_sound
# 需要導入模塊: import sounddevice [as 別名]
# 或者: from sounddevice import wait [as 別名]
def record_sound(sec,message):
sr = 16000
print(message+" for {} seconds..".format(sec))
sound = sd.rec(int(sec*sr),samplerate=sr,channels=1)
sd.wait()
return sound, sr 開發者ID:a-n-rose，項目名稱:Build-CNN-or-LSTM-or-CNNLSTM-with-speech-features，代碼行數:8，代碼來源:implement_model.py
示例2: extract_features
# 需要導入模塊: import sounddevice [as 別名]
# 或者: from sounddevice import wait [as 別名]
def extract_features():
X = sounddevice.rec(int(duration * sample_rate), samplerate=sample_rate, channels=1)
sounddevice.wait()
X= np.squeeze(X)
stft = np.abs(librosa.stft(X))
mfccs = np.array(librosa.feature.mfcc(y=X, sr=sample_rate, n_mfcc=8).T)
chroma = np.array(librosa.feature.chroma_stft(S=stft, sr=sample_rate).T)
mel = np.array(librosa.feature.melspectrogram(X, sr=sample_rate).T)
contrast = np.array(librosa.feature.spectral_contrast(S=stft, sr=sample_rate).T)
tonnetz = np.array(librosa.feature.tonnetz(y=librosa.effects.harmonic(X), sr=sample_rate).T)
ext_features = np.hstack([mfccs,chroma,mel,contrast,tonnetz])
features = np.vstack([features,ext_features])
return features 開發者ID:GianlucaPaolocci，項目名稱:Sound-classification-on-Raspberry-Pi-with-Tensorflow，代碼行數:15，代碼來源:classiPi.py
示例3: play
# 需要導入模塊: import sounddevice [as 別名]
# 或者: from sounddevice import wait [as 別名]
def play(self, file_path):
if self.convert:
self.convert_mp3_to_wav(file_path_mp3=file_path)
data, fs = sf.read(file_path)
sd.play(data, fs)
sd.wait() 示例4: play_one_audio_file
# 需要導入模塊: import sounddevice [as 別名]
# 或者: from sounddevice import wait [as 別名]
def play_one_audio_file(local_audio_file):
'''
Play a local audio file using soundfile and sounddevice.
Parameters
----------
local_audio_file : string
Local location to the audio file to be played. When it is a directory,
a file will be randomly chosen.
Returns
-------
None
Raises
------
DLPyError
If anything goes wrong, it complains and prints the appropriate message.
'''
try:
import soundfile as sf
import sounddevice as sd
except (ModuleNotFoundError, ImportError):
raise DLPyError('cannot import soundfile or sounddevice')
if os.path.isdir(local_audio_file):
local_audio_file_real = random_file_from_dir(local_audio_file)
else:
local_audio_file_real = local_audio_file
print('File location: {}'.format(local_audio_file_real))
data, sampling_rate = sf.read(local_audio_file_real)
print('Frequency [Hz]: {}'.format(sampling_rate))
print('Duration [s]: {}'.format(data.shape[0]/sampling_rate))
sd.play(data, sampling_rate)
sd.wait()