Advanced narrow speech channeling algorithm for robot speech recognition

Abstract

We propose a source extraction algorithm that provides robust speech recognition of intelligent service robots. This system consists of two stages. First, the target speech from a target direction is extracted from a mixture inputs using a binary time-frequency masking method. This stage can work alone. The next stage re-estimates the range of the target direction calculating the energy of the extracted speech by δ histogram. This algorithm was mounted on the speech recognition system of a service robot as a preprocessing step. In section 6, we show that our algorithm has excellent performances.