espnet.transform.transformation.Transformation

source

class espnet.transform.transformation.Transformation(conffile=None)

Bases: object

Apply some functions to the mini-batch

Examples

>>> kwargs = {"process": [{"type": "fbank",
...                        "n_mels": 80,
...                        "fs": 16000},
...                       {"type": "cmvn",
...                        "stats": "data/train/cmvn.ark",
...                        "norm_vars": True},
...                       {"type": "delta", "window": 2, "order": 2}]}
>>> transform = Transformation(kwargs)
>>> bs = 10
>>> xs = [np.random.randn(100, 80).astype(np.float32)
...       for _ in range(bs)]
>>> xs = transform(xs)