| 摘要 |
<p>Systems and methods of noise suppression based on an estimation of the noise spectrum, and a Wiener type filter to suppress the estimated noise. The noise spectrum may be estimated based on a model that classifies each time/frame and frequency component of a received signal as speech or noise by using a speech/noise likelihood (e.g., probability) function. The speech/noise likelihood function is updated and adapted, for each input frame and frequency, by incorporating multiple speech/noise classification features into a model for a feature-based probability function.</p> |
