Comparison between discrimination and identification in perception of environmental sounds of hearing impairments

Transcription

1 Comparison between discrimination and identification in perception of environmental sounds of hearing impairments Yuno Yuuki 1 Matsubara Masaki 2 Tabaru Kei 3 Terasawa Hiroko 2 Hiraga Rumi Erber Fig. 1 Erber s levels of auditory functioning QoL Erber 4 [7] detection2 discrimination identification comprehension c 2016 Information Processing Society of Japan 1

2 Table 1 1 Summary of previous studies on perception of environmental sounds Terese, et al. [1] 1980 (4 ) Ballas [2] 1993 [3] 1998 (4 ) Reed, et al. [4] 2005 (2 ) Shafiro [5] 2008 (60 ) Inverso, et al. [6] (1)(2) 2 2. spectral centroid kurtosis 2 Table 2 The model of relationship between detection, discrimination and identification (1) (2) 2.1 spectral centroid [8]spectral centroid f c f i P i f c 1 f c = fi P i Pi (1) kurtosiskurtosis [9] kurtosis k xx nx x x i k 2 k = 1 n ( 1 n n i=1 (x i x) 4 n i=1 (x (2) i x) 2 ) 2 spectral centroid kurtosis Finitzo-Hieber [1] Ballas [2] [3] 7 c 2016 Information Processing Society of Japan 2

3 Spectral Centroid(Hz) Fig Kurtosis spectral centroid kurtosis The two dimensional plot of environmental sounds based on spectral centroid and kurtosis 3.2 Fig. 4 4 Flow of the experiment Apple Mac Book Pro 1 GENELEC 8020CPM 0.95 m 1.2 m Fig. 3 3 List of environmental sounds in stimuli with category * dbhl 4 *1 K30X50046, 5009 HR-AJ03, 06, a l c 2016 Information Processing Society of Japan 3

4 αβ α-β 2 2 α β %SD = %SD = %SD = %SD = 8.20 t SD = SD = 0.28 t Fig *** *** 0.1 % Fig. 6 Comparison between results of discrimination and identification tasks by hearing impairments and by normal hearing (White bar shows mean correct percentage of discrimination and gray bar shows mean correct percentage of identification. The left bars represent results of hearing impairments and the right bars represent results of normal hearing. *** indicates statistical significance at the *** percent p-value and error bars indicates the standard deviation) 6 The number of person who answered correct of each stimulus sound (White bars show results of hearing impairments and Gray bars show results of normal hearing) spectral centroid kurtosis 4.4 (A)(G) 7 c 2016 Information Processing Society of Japan 4

5 Fig. 7 Table 3 Table 4 7 Accuracy of identification task 100% 0% The relationship between the acoustical features and the results of listening task. 3 7 The detail of results of discrimination and identification task (A) (αβ) (C) (α β) (E) (αβ) (B) (αβ) (D) (α β) (F) (αβ) 4 7 (%) - - (G) The ratio of results of discrimination and identification task to the total answers(%) (A)13.62 (B) (C)32.44 (D) (E)43.11 (F)2.07 (G) (C) (F) 94.6 % kurtosis spectral centroid αβ 3 4 (E) αβ c 2016 Information Processing Society of Japan 5

6 c 2016 Information Processing Society of Japan 6

7 JSPS , , 16K17468 [1] et al., F.-H.: A sound effects recognition test for the pediatric audiological evaluation., Ear and hearing, Vol. 1, No. 5, pp (1980). [2] Ballas, J. A.: Common factors in the identification of an assortment of brief everyday sounds., Journal of experimental psychology: human perception and performance, Vol. 19, No. 2, p. 250 (1993). [3] Vol. I, No. 1 (1998). [4] Reed and et al.: Reception of environmental sounds through cochlear implants, Ear and hearing, Vol. 26, No. 1, pp (2005). [5] V., S.: Development of a large-item environmental sound test and the effects of short-term training with spectrallydegraded stimuli, Ear and hearing, Vol. 29, No. 5, pp (2008). [6] Inverso and et al.: Cochlear implant-mediated perception of nonlinguistic sounds, Ear and hearing, Vol. 31, No. 4, pp (2010). [7] Erber and et al.: Auditory training, Hearing and Deafness Fourth Edition (Davis, H. and Silverman, S. R., eds.), Holt Rinehart and Winston, pp (1978). [8] Schubert and et al.: Does timbral brightness scale with frequency and spectral centroid?, Acta acustica united with acustica, Vol. 92, No. 5, pp (2006). [9] McDermott. and et al.: Sound texture perception via statistics of the auditory periphery: evidence from sound synthesis, Neuron, Vol. 71, No. 5, pp (2011). c 2016 Information Processing Society of Japan 7