`transform_spectrogram.Rd`

Create a spectrogram or a batch of spectrograms from a raw audio signal. The spectrogram can be either magnitude-only or complex.

```
transform_spectrogram(
n_fft = 400,
win_length = NULL,
hop_length = NULL,
pad = 0L,
window_fn = torch::torch_hann_window,
power = 2,
normalized = FALSE,
...
)
```

- n_fft
(integer): Size of FFT

- win_length
(integer): Window size

- hop_length
(integer): Length of hop between STFT windows

- pad
(integer): Two sided padding of signal

- window_fn
(tensor or function): Window tensor that is applied/multiplied to each frame/window or a function that generates the window tensor.

- power
(numeric): Exponent for the magnitude spectrogram, (must be > 0) e.g., 1 for energy, 2 for power, etc. If NULL, then the complex spectrum is returned instead.

- normalized
(logical): Whether to normalize by magnitude after stft

- ...
(optional) Arguments for window function.

tensor: Dimension (..., freq, time), freq is n_fft %/% 2 + 1 and n_fft is the number of Fourier bins, and time is the number of window hops (n_frame).

forward param: waveform (tensor): Tensor of audio of dimension (..., time)