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In this work, we are interested in assessing the optimality of the human auditory system, when the input stimuli is natural speech that is affected by additive noise. In order to do this, we consider the DANTALE II listening test paradigm of Wagener et al., which has been used to evaluate the intelligibility of noisy speech by exposing human listeners to a selection of constructed noisy sentences. Inspired by this test, we propose a simple model for the communication and classification of noisy speech that takes place in the test.

In this work, we are interested in assessing the optimality of the human auditory system, when the input stimuli is natural speech that is affected by additive noise. In order to do this, we consider the DANTALE II listening test paradigm of Wagener et al., which has been used to evaluate the intelligibility of noisy speech by exposing human listeners to a selection of constructed noisy sentences. Inspired by this test, we propose a simple model for the communication and classification of noisy speech that takes place in the test.

Nasal Finals play an important role in distinguishing lexical meanings in Standard Chinese, but it is still unclear what the primary perceptual cues for nasal Finals are. The present study looks into this question, especially the primary perceptual cues for native Chinese listeners. We conducted two perceptual experiments with three-formant synthetic stimuli in which the second formant (F2) and the third formant (F3) were varied. Experiment I varied F2 and F3 simultaneously in the vowel part (including vowel nucleus and nasalized vowel).

The boundary positions of /a/-/ɤ/ were significantly different among the four tone conditions, with much less identification of /a/ category under the high-falling tone condition in contrast to the other three tones. Moreover, the maximum identification scores of /ɤ/ category were significantly lower under the falling-rising tone compared with other tone conditions. The relation between F0 and F1, as well as the substantial feature of falling-rising tone might account for these effects of tone categories on Mandarin vowel perception.

To investigate the temporal dynamics and spatial representations in speech perception and processing, electroencephalograph (EEG) signals were recorded when subjects listening Chinese words and pseudo words.

Noise corruption can dramatically decrease the speech intelligibility for listeners with cochlear implants (CI). Noise reduction is a key point in CI speech processing strategy. This paper proposes a statistical model based noise reduction algorithm forCIs. A realistic noise estimator, which requires no prior knowledge of the noise, is adopted for noise estimation.