buffer_, waveform, sample_rate,
    format="wav", encoding="PCM_S", bits_per_sample=16)
Apply effects while loading audio from S3
client = boto3.client('s3')
response = client.get_object(Bucket=S3_BUCKET, Key=S3_KEY)
waveform, sample_rate = torchaudio.sox_effects.apply_effect_file(
    response['Body'],
    [["lowpass", "-1", "300"], ["rate", "8000"]])
Apply GSM codec to Tensor
encoded = torchaudio.functional.apply_codec(
    waveform, sample_rate, format="gsm")
```
Check out the revamped audio preprocessing tutorial, Audio Manipulation with TorchAudio.
[Stable] Switch to CMake-based build