摘要
选用自行录制的单音节语音材料，对４６名听力正常青年人在３种不同噪声竞争下进行言语测听。选用的噪声为白噪声（ｗｈｉｔｅｎｏｉｓｅ，ＷＮ）、言语噪声（ｓｐｅｅｃｈｎｏｉｓｅ，ＳＮ）和自行录制合成的多人谈话声（Ｂａｂｂｌｅｎｏｉｓｅ，ＢＮ）。将测得言语识别率结果用两个参数的数学模型来表达信噪比（ｓｉｇｎａｌ－ｔｏ－ｎｏｉｓｅｒａｔｉｏ，Ｓ／Ｎ）与识别率间的关系。对正常人同时测试了安静条件下５个言语声级和３种噪声条件下５个Ｓ／Ｎ时的言语识别率。安静条件下测得的结果与沈晔结果相近，平均言语接受阈只相差１．８ｄＢ。噪声条件下言语识别率皆随Ｓ／Ｎ的变化而变化，同一噪声下，Ｓ／Ｎ越小识别率越低，Ｓ／Ｎ越大识别率越高。不同噪声下，５０％识别率水平时的Ｓ／Ｎ有明显差别，Ｓ／Ｎ在ＢＮ下最大，在ＷＮ下最小，说明不同噪声对言语识别的影响不同。噪声下测得言语清晰度曲线斜率比安静条件下要陡，不同噪声间清晰度曲线斜率无明显差别。本研究同时证实言语识别率的标准差与识别率水平和测试词表中词的数目相关。
A designed Chinese monosyllabic speech test in noise through headphone was performed on 46 normal hearing listeners.Three noises,speech noise (SN),white noise (WN) and babble noise (BN)were used.Classical psychophysical ogive curve was used to model speech recognition as function of signal to noise ratio (S/N). The normal group underwent speech discrimination in quiet of 5 speech levels and in three noises of 5 S/Ns.The speech test results in quiet were similar to ShenYi's,the average SRT only showed 1.8 dB difference.The speech discrimination scores (DS) in each noise were related to S/N,it was found that the higher the S/N the higher the DS and the lower the S/N the poorer the DS.The significant differences in speech reception threshold existed between the three noises.The slope of speech recognition curve in each noise was steeper than in quiet. The slopes between in three noises had no significant differences. This research at the same time verified that the standard deviation of speech discrimination is related to the discrimination level and the the number of words on the list for the test.
出处
《听力学及言语疾病杂志》
CAS
CSCD
1996年第3期140-145,共6页
Journal of Audiology and Speech Pathology
关键词
听力
言语测听
汉语
言语识别率
噪声
Speech audiometry Signal to noise ratio(S/N) Speech discrimination score Speech recognition curve Noise
