Convert frequency in Hz to FFT bin index. Args: f_hz (int or float): The frequency in Hz. sample_rate_hz (int or float): The samp

Convert mel scale to Hz. This uses the formula from O'Shaugnessy's book. Args: m_mel (float): The value in mels Returns:

Convert Hz to mel scale. This uses the formula from O'Shaugnessy's book. Args: f_hz (float): The value in Hz. Returns: T

Invert a STFT into a time domain signal. Args: X (2-dim Numpy array): Input spectrogram. The rows are the time slices and columns are the

Test Griffin & Lim method for reconstructing audio from a magnitude spectrogram. Example of using the Griffin-Lim algorithm. The input file i

Compute and return the STFT of the supplied time domain signal x. Args: x (1-dim Numpy array): A time domain signal. fft_size (in

Convert FFT bin index to frequency in Hz. Args: n_bin (int or float): The FFT bin index. sample_rate_hz (int or float): The sampl

Load a wav file. If the file contains more than one channel, return a mono file by taking the mean of all channels. If the sample rate d

Create a mel filterbank matrix. Create and return a mel filterbank matrix `filterbank` of shape (`mel_bin_count`, `linear_bin_couont`). The `

Reconstruct an audio signal from a magnitude spectrogram. Given a magnitude spectrogram as input, reconstruct the audio signal and return it

Save a mono signal to a file. Args: x (1-dim Numpy array): The audio signal to save. The signal values should be in the range [-1.0, 1.0]