94 GHz Millimeter Wave Conducted Speech Enhancement
Abstract: The traditional
microphone speech acquisition method has several limitations, such as short acquisition
distance, non-directivity, weak ability to compensate for anti-acoustic noise,
and poor sensitivity. As an alternative, our lab developed a new type of speech
detection system using bio-radar. This novel speech detection method may
effectively compensate for the shortcomings of the traditional microphone
because of the special features of bio-radar. However, the detected radar
speech is also corrupted by specific electromagnetic and ambient noises.
Therefore, this study proposes a minimum mean-square error (MMSE) short-time
spectral amplitude estimate algorithm to enhance radar captured speech. Because
the proposed approach employs an optimal spectral amplitude estimator as well
as a method to minimize the mean-square error of the log-spectra in enhancing
noisy speech, this algorithm significantly reduces the colored residual noise.
The enhanced radar speech was evaluated by both subjective and objective
quality evaluation methods. The results demonstrate that the bio-radar can successfully
detect speech signal and the proposed speech enhancement algorithm can improve
radar captured speech quality.
Author: S. Li
Journal: jptkomputergg170176
