Audio watermark embedding technique applying auditory stream segregation: “G-encoder mark,” extractable by mobile phone

2009 ◽  
Vol 92 (12) ◽  
pp. 1-12 ◽  
Author(s):  
Toshio Modegi
1976 ◽  
Vol 42 (3_suppl) ◽  
pp. 1071-1074 ◽  
Author(s):  
Betty Tuller ◽  
James R. Lackner

Primary auditory stream segregation, the perceptual segregation of acoustically related elements within a continuous auditory sequence into distinct spatial streams, prevents subjects from resolving the relative constituent order of repeated sequences of tones (Bregman & Campbell, 1971) or repeated sequences of consonant and vowel sounds (Lackner & Goldstein, 1974). To determine why primary auditory stream segregation does not interfere with the resolution of natural speech, 8 subjects were required to indicate the degree of stream segregation undergone by 24 repeated sequences of English monosyllables which varied in terms of the degrees of syntactic and intonational structure present. All sequences underwent primary auditory stream segregation to some extent but the amount of apparent spatial separation was less when syntactic and intonational structure was present.


Author(s):  
Neha Banerjee ◽  
Prashanth Prabhu

Background and Aim: The central auditory nervous system has the ability to perceptually group similar sounds and segregates different sounds called auditory stream segregation or auditory streaming or auditory scene analysis. Identification of a change in spectral profile when the amplitude of a component of complex tone is changed is referred to as Spectral profile analysis. It serves as an important cue in auditory stream segregation as the spectra of the sound source vary. The aim of the study was to assess auditory stream segregation in individuals with cochlear pathology (CP) and auditory neuropathy spectrum disorder. Methods: In the present study, three groups of participants were included. Experimental groups included 21 ears in each group with cochlear hearing loss or auditory neuropathy spectrum disorders (ANSD) and control group with 21 ears with normal hearing. Profile analysis was asse­ssed using "mlp" toolbox, which implements a maximum likelihood procedure in MATLAB. It was assessed at four frequencies (250 Hz, 500 Hz, 750 Hz, and 1000 Hz) for all three groups. Results: The results of the study indicate that the profile analysis threshold (at all four frequ­encies) was significantly poorer for individuals with CP or ANSD compared to the control group. Although, cochlear pathology group performed better than ANSD group. Conclusion: This could be because of poor spec­tral and temporal processing due to loss of outer hair cells at the level of the basilar membrane in cochlear pathology patients and due to the demyelination of auditory neurons in individuals with ANSD. Keywords: Auditory stream segregation; auditory scene analysis; spectral profiling; spectral profile analysis; cochlear pathology; auditory neuropathy spectrum disorders


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