Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
2008-01-01
2008-01-01
Hudspeth, David (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
C704S233000, C702S196000
Reexamination Certificate
active
07315816
ABSTRACT:
The present invention relates to a method for recovering target speech from mixed signals, which include the target speech and noise observed in a real-world environment, based on split spectra using sound sources' locational information. This method includes: the first step of receiving target speech from a target speech source and noise from a noise source and forming mixed signals of the target speech and the noise at a first microphone and at a second microphone; the second step of performing the Fourier transform of the mixed signals from a time domain to a frequency domain, decomposing the mixed signals into two separated signals UAand UBby use of the Independent Component Analysis, and, based on transmission path characteristics of the four different paths from the target speech source and the noise source to the first and second microphones, generating from the separated signal UAa pair of split spectra vA1and vA2, which were received at the first and second microphones respectively, and from the separated signal UBanother pair of split spectra vB1and vB2, which were received at the first and second microphones respectively; and the third step of extracting a recovered spectrum of the target speech, wherein the split spectra are analyzed by applying criteria based on sound transmission characteristics that depend on the four different distances between the first and second microphones and the target speech and noise sources, and performing the inverse Fourier transform of the recovered spectrum from the frequency domain to the time domain to recover the target speech.
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Gotanda Hiromu
Ishibashi Takaaki
Kaneda Keiichi
Koya Takeshi
Nobu Kazuyuki
Hudspeth David
Serrou Abdelali
Takeshita Konomi
Zaidanhouzin Kitakyushu Sangyou Gakujutsu Suishin Kikou
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