TensorFlow

API

 tf.signal / mfccs_from_log_mel_spectrograms


Real-valued fast Fourier transform.

Used in the notebooks

Used in the tutorials

Computes the 1-dimensional discrete Fourier transform of a real-valued signal over the inner-most dimension of input.

Since the DFT of a real signal is Hermitian-symmetric, RFFT only returns the fft_length / 2 + 1 unique components of the FFT: the zero-frequency term, followed by the fft_length / 2 positive-frequency terms.

Along the axis RFFT is computed on, if fft_length is smaller than the corresponding dimension of input, the dimension is cropped. If it is larger, the dimension is padded with zeros.

input A Tensor. Must be one of the following types: float32, float64. A float32 tensor.
fft_length A Tensor of type int32. An int32 tensor of shape [1]. The FFT length.
Tcomplex An optional tf.DType from: tf.complex64, tf.complex128. Defaults to tf.complex64.
name A name for the operation (optional).

A Tensor of type Tcomplex.

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