WebMar 23, 2024 · import sounddevice as sd import soundfile as sf data, fs = sf.read(filename, dtype='float32') sd.play(data, fs, device=10) status = sd.wait() The PsychoPy sound library also calls the same sounddevice library so I assume this can also be done using the former? Thanks again for your help! Mick WebSep 30, 2024 · Suppose I read a WAV file using Python's soundfile,. import soundfile x, fs = soundfile.read("test.wav") The array x is in float32 and max(x) = 1, min(x) = -1.That is: …
sounddevice.PortAudioError: Error opening InputStream: Device ...
WebBy default, the recorded array has the data type 'float32'(see default.dtype), but this can be changed with the dtype argument: myrecording=sd.rec(int(duration * fs), dtype='float64') 2.3Simultaneous Playback and Recording To play back an array and record at the same time, you can use playrec(): myrecording=sd.playrec(myarray, fs, channels=2) earth observation data software
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WebApr 12, 2024 · import sounddevice as sd import soundfile as sf # Extract data and sampling rate from file data, fs = sf. read (filename, dtype = 'float32') sd. play (data, fs) status = … WebJul 15, 2024 · sounddevice.play(data, samplerate=None, mapping=None, blocking=False, loop=False, **kwargs) where data is an "array-like". It can't work with an audio file name, as you tried. The audio file has first to be read, and interpreted as a numpy array. This code should work: data, fs = sf.read(filename, dtype='float32') sd.play(data, fs) WebAssuming you have a NumPy array named myarrayholding audio data with a sampling frequency of fs(in the most cases this will be 44100 or 48000 frames per second), you can play it back with sounddevice.play(): ... data, fs=sf.read(args.filename, dtype='float32') sd.play(data, fs, device=args.device) status=sd.wait() if status: (continues on next ... ctk-1150 casio keyboard