


labels = bundle.get_labels()
print(labels)
('', '', '', '', '|', 'E', 'T', 'A', 'O', 'N', 'I', 'H', 'S', 'R', 'D', 'L', 'U', 'M', 'W', 'C', 'F', 'G', 'Y', 'P', 'B', 'V', 'K', "'", 'X', 'J', 'Q', 'Z')
Infer the label probability distribution
waveform, sample_rate = torchaudio.load(hello-world.wav')
emissions, _ = model(waveform)
Pass emission to (hypothetical) decoder
transcripts = ctc_decode(emissions, labels)
print(transcripts[0])
HELLO WORLD



```
Please refer to the documentation for more details and try out this feature using this tutorial.
(Beta) Multi-channel support and MVDR beamforming