Types

class lfeats.Container(data: ndarray | Tensor)

Dataclass to hold generic data.

property array: ndarray

Get the data as a NumPy array.

Returns:

outnp.ndarray

The data as a NumPy array.

is_array() → bool

Check if the data is a NumPy array.

Returns:

outbool

True if the data is a NumPy array, False otherwise.

is_tensor() → bool

Check if the data is a PyTorch tensor.

Returns:

outbool

True if the data is a PyTorch tensor, False otherwise.

property ndim: int

Get the number of dimensions of the data.

Returns:

outint

The number of dimensions of the data.

property shape: tuple[int, ...]

Get the shape of the data.

Returns:

outtuple[int, …]

The shape of the data.

property tensor: Tensor

Get the data as a PyTorch tensor.

Returns:

outtorch.Tensor

The data as a PyTorch tensor.

class lfeats.Audio(data: ndarray | Tensor, sample_rate: int)

Dataclass to hold audio data.

property length: int

Get the length of the audio samples.

Returns:

outint

The length of the audio samples.

class lfeats.Features(data: ndarray | Tensor, source: str, layers: list[int] | None = None)

Dataclass to hold latent features.

property length: int

Get the length of the audio samples.

Returns:

outint

The length of the audio samples.