The Effects of the Intelligent Hearing-assistive System on Hearing Benefits to Cochlear Implant Recipients
10.3969/j.issn.1006-7299.2024.01.010
- VernacularTitle:智能辅听系统对改善人工耳蜗植入者听声效果的研究
- Author:
Liyang XIANG
1
,
2
;
Juanjuan LI
;
Yan HAN
;
Jinjian WANG
;
Dian YANG
;
Tingjun YANG
;
Li YIN
;
Sui HUANG
Author Information
1. 浙江诺尔康神经电子科技股份有限公司(杭州 310011)
2. 浙江省神经电子与脑机接口技术重点实验室
- Keywords:
Cochlear implant;
Intelligent hearing-assistive system;
Acoustic scene recognition;
Sound processing strategies;
ABeam
- From:
Journal of Audiology and Speech Pathology
2024;32(1):43-48
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the effects of the intelligent hearing-assistive system incorporated in Nuro-tron cochlear implants(CI),including the autonomic acoustic scene recognition(ASR),intelligent strategy config-uration as well as the objective and subjective hearing improvements on recipients.Methods ① To evaluate the per-formance of the ASR matule,in a sound-proof room,the preset five kinds of test audios,including speech,noise,speech in noise,pure music(without human voice)and non-pure Music(with human voice)were played.Each type of scenes included 6 to 9 5 min test files.The prediction accuracy and scene switching times were calculated.② In order to evaluate the noise-reduction performance of the ABeam technology in the speech enhancement module,13 Nurotron? CI recipients were recruited and their speech recognition rate when ABeam was"ON"and"OFF"with noise coming from 90°,180°or 270°were tested,individually.Also,their subjective hearing feedback was evaluated through visual analogue scale(VAS)evaluation.Results The ASR module achieved high prediction performance,with prediction accuracy 99％±4％,96％±9％,94％±12％,94％±15％,92％±13％for speech,noise,noisy speech,pure music and non-pure music,respectively.The scene transation times for each individual scene were 1.1 ±0.3,1.4±0.7,1.3±0.5,1.4±0.8 and 1.3±0.5,indicating that the prediction was also stable.When noise came from the sides and behind of recipients and speech signal from the front,the adaptive dual microphone noise re-duction algorithm ABeam significantly increased the speech recognition score(SRS)in 5 dB signal-to-noise(SNR)environment(P＜0.001),with an average increase of 15.92％.Especially when the noise came from 180 degree backward,the SRS increased 28.68％when ABeam was"0N",which was significantly higher than when ABeam was"OFF"(P＜0.01).Conclusion The intelligent hearing-assistive system can help CI recipients automatically configure appropriate SPSs under different environments,improving the speech intelligibility and hearing comfort.
