smst.models.stochastic module

Functions that implement analysis and synthesis of sounds using the Stochastic Model.

In this model the sound is modeled using a magnitude envelope of the signal’s spectrum. The magnitude envelope is decimated. On reconstruction the phases are generated randomly.

smst.models.stochastic.from_audio(x, H, N, stocf)

Analyzes a sound using the stochastic model.

Parameters:

• x – input array sound
• H – hop size
• N – FFT size
• stocf – decimation factor of mag spectrum for stochastic analysis, bigger than 0, maximum of 1

Returns:

stocEnv: stochastic envelope

smst.models.stochastic.scale_time(stocEnv, timeScaling)

Scales the stochastic model of a sound in time.

Parameters:

• stocEnv – stochastic envelope
• timeScaling – scaling factors, in time-value pairs

Returns:

ystocEnv: stochastic envelope

smst.models.stochastic.to_audio(stocEnv, H, N)

Synthesizes sound from a stochastic model.

Parameters:

• stocEnv – stochastic envelope
• H – hop size
• N – fft size

Returns:

y: output sound