$ pip install wavesurfer- display wave file
from wavesurfer import display
display("data/test_16k.wav")- display waveform
import torchaudio
from wavesurfer import display
waveform, rate = torchaudio.load("data/test_16k.wav")
display(waveform, rate, enable_minimap=True, enable_spectrogram=True)
- display streaming waveform
import time
import torchaudio
from wavesurfer import display
def audio_generator():
waveform, rate = torchaudio.load("data/test_16k.wav")
chunk_size_s = 0.3
chunk_size = int(chunk_size_s * rate)
for i in range(0, waveform.size(1), chunk_size):
time.sleep(0.1) # RTF: 0.1/0.3 < 1
yield waveform[:, i:i + chunk_size]
display(audio_generator(), rate=16000)