Wen Shu Tang

hello, thanks for the great work. I am interested in the audio source. My use case is that I would like to stream audio to the client without the player...

I have a rough version of AudioStreamTrack, a variation of your implementation and [aiortc's implementation](https://github.com/aiortc/aiortc/blob/9f14474c0953b90139c8697a216e4c2cd8ee5504/src/aiortc/mediastreams.py#L71) ``` class AudioStreamTrack(MediaStreamTrack): """ A dummy audio track which reads silence. """ def __init__(self, callback:...

@gunewar I believe specifying the normalizer when creating the `TimeSeriesDataSet` fixed it for me ``` training = TimeSeriesDataSet( ... target_normalizer=TorchNormalizer(method='identity', center=True, transformation=None, method_kwargs={}), add_target_scales=True, ... ) ```

Interested in pointers to potential solutions. My use case is similar, generate some text-to-speech and play it back.