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在噪声环境中进行数字训练可以提高人工耳蜗使用者在噪声环境中的言语理解能力。

Digit training in noise can improve cochlear implant users' speech understanding in noise.

机构信息

Division of Communication and Auditory Neuroscience, House Ear Institute, Los Angeles, California 90057, USA.

出版信息

Ear Hear. 2011 Sep-Oct;32(5):573-81. doi: 10.1097/AUD.0b013e31820fc821.

Abstract

OBJECTIVE

While auditory training in quiet has been shown to improve cochlear implant (CI) users' speech understanding in quiet, it is unclear whether training in noise will benefit speech understanding in noise. The present study investigated whether auditory training could improve CI users' speech recognition in noise and whether training with familiar stimuli in an easy listening task (closed-set digit recognition) would improve recognition of unfamiliar stimuli in a more difficult task (open-set sentence recognition).

DESIGN

CI users' speech understanding in noise was assessed before, during, and after auditory training with a closed-set recognition task (digits identification) in speech babble. Before training was begun, recognition of digits, Hearing in Noise Test (HINT) sentences, and IEEE sentences presented in steady speech-shaped noise or multitalker speech babble was repeatedly measured to establish a stable estimate of baseline performance. After completing baseline measures, participants trained at home on their personal computers using custom software for approximately 30 mins/day, 5 days/wk, for 4 wks, for a total of 10 hrs of training. Participants were trained only to identify random sequences of three digits presented in speech babble, using a closed-set task. During training, the signal-to-noise ratio was adjusted according to subject performance; auditory and visual feedback was provided. Recognition of digits, HINT sentences, and IEEE sentences in steady noise and speech babble was remeasured after the second and fourth week of training. Training was stopped after the fourth week, and subjects returned to the laboratory 1 mo later for follow-up testing to see whether any training benefits had been retained.

RESULTS

Mean results showed that the digit training in babble significantly improved digit recognition in babble (which was trained) and in steady noise (which was not trained). The training benefit generalized to improved HINT and IEEE sentence recognition in both types of noise. Training benefits were largely retained in follow-up measures made 1 mo after training was stopped.

CONCLUSIONS

The results demonstrated that auditory training in noise significantly improved CI users' speech performance in noise, and that training with simple stimuli using an easy closed-set listening task improved performance with difficult stimuli and a difficult open-set listening task.

摘要

目的

虽然在安静环境下进行听觉训练已被证明可以提高人工耳蜗(CI)使用者在安静环境下的言语理解能力,但在噪声环境下进行训练是否会有益于言语理解能力尚不清楚。本研究旨在探讨听觉训练是否可以提高 CI 用户在噪声环境下的言语识别能力,以及在相对简单的闭集识别任务(数字识别)中使用熟悉的刺激物进行训练是否可以提高在更困难的开集识别任务(句子识别)中对不熟悉刺激物的识别能力。

设计

在使用语音噪声中的数字识别任务(数字识别)进行听觉训练之前、期间和之后,评估 CI 用户在噪声中的言语理解能力。在开始训练之前,反复测量数字识别、噪声下的听力测试(HINT)句子和 IEEE 句子,以及在稳态语音噪声或多说话者语音噪声中的识别,以建立基线表现的稳定估计。完成基线测量后,参与者在家中使用定制软件在个人计算机上进行大约 30 分钟/天、每周 5 天、为期 4 周、总共 10 小时的训练。参与者仅接受识别语音噪声中随机出现的三个数字的训练,使用闭集任务。在训练过程中,根据受试者的表现调整信号噪声比;提供听觉和视觉反馈。在训练的第二和第四周后,重新测量数字识别、HINT 句子和 IEEE 句子在稳态噪声和语音噪声中的识别。在第四周后停止训练,受试者返回实验室进行 1 个月后的随访测试,以了解是否有任何训练益处得到保留。

结果

平均结果表明,在语音噪声中的数字训练显著提高了数字在语音噪声(受过训练)和稳态噪声(未受过训练)中的识别能力。训练效果在两种噪声中的 HINT 和 IEEE 句子识别中都得到了提高。在停止训练 1 个月后的随访测量中,训练效果大多得以保留。

结论

结果表明,在噪声中进行听觉训练可以显著提高 CI 用户在噪声中的言语表现,并且使用简单的刺激物进行相对简单的闭集听力任务的训练可以提高对困难刺激物和困难的开集听力任务的表现。

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