About Malaspina Labs

Malaspina Labs develops real-time software algorithms which enhance speech comprehension & voice interfaces in noisy environments. Active algorithm research includes discrimination of speech-of-interest from high level background noise including competing background speech, real-time synthetic reconstruction of human speech, and the efficient encoding of speech for storage and digital communication.  Portable software implementations of these algorithms are offered in binary or source code form. These implementations isolate speech from complex background noise within audio signals in real-time, within the resource constraints of milliwatt-class processors designed for embedded medical and low-power communications devices.

Areas of Expertise

Malaspina Labs has recognized expertise in experimental and theoretical acoustics research, signal processing, sound localization, pattern matching, and machine learning.  Active research projects include synthetic reconstruction of human speech, discrimination of human speech from competing background noise, and the efficient encoding and transmission of speech for narrowband digital communication.