Cochlear implant (CI) in present Chinese environment will lose pitch information and result in low speech recognition. In order to research Chinese feature-based speech processing strategy for cochlear implant contrapuntally and to improve the speech recognition for CI recipients, we improve the CI front-end signal acquisition platform and research the signal features. Our search includes the waveform, spectrogram, energy intensity, pitch and formant parameters for different speech processing strategies of cochlear implant. Features in two kinds of speech processing strategies are analyzed and extracted for the study of parameter characteristics. Therefore, the proposed aim of this paper is to extend the research on Chinese-based CI speech processing strategy.
The central aim of this experiment was to compare the articulatory and acoustic characteristics of students with normal hearing (NH) and school aged children with hearing loss (HL), and to explore the articulatory-acoustic relations during the nasal finals. Fourteen HL and 10 control group were enrolled in this study, and the data of 4 HL students were removed because of their high pronunciation error rate. Data were collected using an electromagnetic articulography. The acoustic data and kinematics data of nasal finals were extracted by the phonetics and data processing software, and all data were analyzed by t test and correlation analysis. The paper shows that, the difference was statistically significant (P<0.05 orP<0.01) in different vowels under the first two formant frequencies (F1, F2), the tongue position and the articulatory-acoustic relations between HL and NH group. The HL group’s vertical movement data-F1 relations in /en/ and /eng/ are same as NH group. The conclusion of this study about participants with HL can provide support for speech healing training at increasing pronunciation accuracy in HL participants.