| 摘要 |
A low overhead voice activity detection technique for a noise-canceling bioacoustic sensor consumes, as inputs, signals generated by a body microphone and an environment microphone and produces, as an output based on these inputs, an indication of whether voice activity is present. The technique applies a novel dual ANC configuration that produces, in addition to the normal noise reduction function, a signal composed of environmental sounds with body sounds attenuated and a signal composed of body sounds projected into the acoustic environment, primarily speech sounds. The technique then applies to these derived signals an algorithm based on the scientific observation that speech intensity, within limits, rises and falls to match environmental sound intensity to provide voice activity detection. |
