Topics in matrix analysis
Fundamentals of speech recognition
Fundamentals of speech recognition
ICA of Complex Valued Signals: A Fast and Robust Deflationary Algorithm
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
Underdetermined blind source separation in echoic environments using DESPRIT
EURASIP Journal on Applied Signal Processing
Blind separation of speech mixtures via time-frequency masking
IEEE Transactions on Signal Processing
Auditory-Based Spectral Amplitude Estimators for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
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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.