Adds two waves elementwise. other: Wave returns: new Wave

Adds two signals. other: Signal returns: Signal

Opens the file and sets parameters. filename: string framerate: samples per second

Initializes a spectrum. hs: array of amplitudes (real or complex) fs: array of frequencies framerate: frames per second

Initializes an integrated spectrum: cs: sequence of cumulative amplitudes fs: sequence of frequencies

Initialize the spectrogram. spec_map: map from float time to Spectrum seg_length: number of samples in each segment

Initializes the wave. ys: wave array ts: array of times framerate: samples per second

Initializes the sum. args: tuple of signals

Initializes a sinusoidal signal. freq: float frequency in Hz amp: float amplitude, 1.0 is nominal max offset: float phase off

Initializes a linear chirp. start: float frequency in Hz end: float frequency in Hz amp: float amplitude, 1.0 is nominal max

Initializes a white noise signal. amp: float amplitude, 1.0 is nominal max

Initializes a pink noise signal. amp: float amplitude, 1.0 is nominal max

Length of the spectrum.

Multiplies two spectrums elementwise. other: Spectrum returns: new Spectrum

Multiplies two waves elementwise. Note: this operation ignores the timestamps; the result has the timestamps of self. other:

Concatenates two waves. other: Wave returns: new Wave

Returns a sequence of amplitudes (read-only property).

Returns a sequence of amplitudes (read-only property). Note: for DCTs, amps are positive or negative real.

Analysis Route View Final Analysis of Uploaded Video :return:

Returns a sequence of angles (read-only property).

Multiplying each frame with a hamming window :param framearray: array of waves (frames) :return: array of hamming window filtered frames

Attenuate frequencies between the cutoffs. low_cutoff: frequency in Hz high_cutoff: frequency in Hz factor: what to multiply

Clean up temporary stored data

Convolves two Spectrums. other: Spectrum returns: Spectrum

Correlation coefficient two waves. other: Wave returns: float coefficient of correlation

Discrete cosine transform. returns: list of frequency, cov pairs

Covariance matrix of two waves. other: Wave returns: 2x2 covariance matrix

Apply the differentiation filter. returns: new Spectrum

Duration (property). returns: float duration in seconds

Calculates the energy of each frame :param framearray: array of waves (frames) :return: array of energy per frame

Runs linear regression on log power vs log frequency. returns: slope, inter, r2, p, stderr

Runs linear regression on log cumulative power vs log frequency. returns: slope, inter, r2, p, stderr

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. ts: float array of times returns: float wave array

Evaluates the signal at the given times. Computes Brownian noise by taking the cumulative sum of a uniform random series. ts

Fourier transforms all waves from array. (Real values only) :param framearray: array of waves (frames) :return: array of FFT waves (spec

Frequency resolution in Hz.

Calculates pitch deviation to detect stress if pitch deviation >= 5, classified as stressed :param periodarray: array of pitch periods

Attenuate frequencies below the cutoff. cutoff: frequency in Hz factor: what to multiply the magnitude by

Returns the imaginary part of the hs (read-only property).

Given ts, find the framerate. Assumes that the ts are equally spaced. ts: sequence of times in seconds returns: frames per second

Apply the integration filter. returns: new Spectrum

Apply logarithm to magnitude spectrum and IFFT to get output of homomorphic operation :param fourierarray: array of spectrums (frames) :

Inverts this spectrum/filter. returns: new Wave

Attenuate frequencies above the cutoff. cutoff: frequency in Hz factor: what to multiply the magnitude by

Makes an IPython Audio object.

Computes the DCT of this wave.

Makes an integrated spectrum.

Computes the spectrogram of the wave. seg_length: number of samples in each segment win_flag: boolean, whether to apply hamming windo

Transforms to the time domain. returns: Wave

Inverts the spectrogram and returns a Wave. returns: Wave

Makes a Wave object. duration: float seconds start: float seconds framerate: int frames per second returns: Wave

Computes the maximum absolute difference between spectra. other: Spectrum returns: float

Computes the maximum absolute difference between waves. other: Wave returns: float

Returns the Nyquist frequency for this spectrum.

Max Pitch Amplitude audio feature: High Predictability rate (86%) :param amparray: array of pitch period amplitudes (floats) :return max

Mean Energy audio feature: Low predictability rate (61%) :param energyarray: array of energies per frame (waves) :return meanaudio: aver

Finds the highest peaks and their frequencies. returns: sorted list of (amplitude, frequency) pairs

Period of the signal in seconds (property). Since this is used primarily for purposes of plotting, the default behavior is to return

Period of the signal in seconds. Note: this is not correct; it's mostly a placekeeper. But it is correct for a harmonic sequence whe

Period of the signal in seconds. returns: float seconds

Period of the signal in seconds. returns: float seconds

Period of the signal in seconds. returns: float seconds

Plays a wave file. filename: string

Plots amplitude vs frequency. Note: if this is a full spectrum, it ignores low and high high: frequency to cut off at

Make a pseudocolor plot. high: highest frequency component to plot

Plots the signal. The default behavior is to plot three periods. framerate: samples per second

Plots power vs frequency. high: frequency to cut off at

Plots the integrated spectrum. low: int index to start at high: int index to end at

Plots the wave with vertical lines for samples.

Returns a sequence of powers (read-only property).

Process Audio component of Video

Processes Video Submitted by User

Initialize the random and np.random generators. x: int seed

The ratio of two spectrums. denom: Spectrum thresh: values smaller than this are replaced val: with this value retu

Reads a wave file. filename: string returns: Wave