Paper Info
Title
Speech enhancement using nonlinear microphone array under nonstationary noise conditions
Abstract
This paper describes a spatial spectral subtraction method by using the complementary beamforming microphone array to en- hance noisy speech signals for speech recognition. The comple- mentary beamforming is based on two types of beamformers de- signed to obtain complementary directivity patterns with respect to each other. In this paper, it is shown that the nonlinear subtraction processing with complementary beamforming can result in a kind of the spectral subtraction without the need for speech pause de- tection. To evaluate the effectiveness, speech enhancement exper- iments and speech recognition experiments are performed based on computer simulations under both stationary and nonstationary noise conditions. In comparison with the optimized conventional delay-and-sum array, it is shown that: (1) the proposed array per- forms more than 20% better in word recognition rates under the conditions that the white Gaussian noise is used, (2) the proposed array improves the word recognition rate by about 5% when the interfering noise is a single speaker or the overlap of some speak- ers, (3) the proposed array improves the word recognition rate by more than 10% when the noise is a nonstationary bubble noise.
Year
Venue
Keywords
1999
EUROSPEECH
word recognition,computer simulation,speech recognition,white gaussian noise
Field
DocType
Citations 
Speech enhancement,Speech processing,Nonlinear system,Computer science,Noise-canceling microphone,Speech recognition,Microphone array
Conference
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Hiroshi Saruwatari100.34
Shoji Kajita214721.92
Kazuya Takeda31301195.60
Fumitada Itakura443167.73