• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于特征识别测试材料的频率重要性函数。

Frequency importance functions for a feature recognition test material.

作者信息

Duggirala V, Studebaker G A, Pavlovic C V, Sherbecoe R L

机构信息

Department of Linguistics, Osmania University, Hyderabad, India.

出版信息

J Acoust Soc Am. 1988 Jun;83(6):2372-82. doi: 10.1121/1.396316.

DOI:10.1121/1.396316
PMID:3411027
Abstract

The relative importance of different parts of the auditory spectrum to recognition of the Diagnostic Rhyme Test (DRT) and its six speech feature subtests was determined. Three normal hearing subjects were tested twice in each of 70 experimental conditions. The analytical procedures of French and Steinberg [J. Acoust. Soc. Am. 19, 90-119 (1947)] were applied to the data to derive frequency importance functions for each of the DRT subtests and the test as a whole over the frequency range 178-8912 Hz. For the DRT as a whole, the low frequencies were found to be more important than is the case for nonsense syllables. Importance functions for the feature subtests also differed from those for nonsense syllables and from each other as well. These results suggest that test materials loaded with different proportions of particular phonemes have different frequency importance functions. Comparison of the results with those from other studies suggests that importance functions depend to a degree on the available response options as well.

摘要

确定了听觉频谱不同部分对诊断韵律测试(DRT)及其六个语音特征子测试识别的相对重要性。三名听力正常的受试者在70种实验条件下各接受了两次测试。将French和Steinberg [《美国声学学会杂志》19, 90 - 119 (1947)] 的分析程序应用于数据,以得出DRT每个子测试以及整个测试在178 - 8912 Hz频率范围内的频率重要性函数。对于整个DRT,发现低频比无意义音节的情况更重要。特征子测试的重要性函数也与无意义音节的不同,并且彼此之间也不同。这些结果表明,加载不同比例特定音素的测试材料具有不同的频率重要性函数。将结果与其他研究的结果进行比较表明,重要性函数在一定程度上也取决于可用的反应选项。

相似文献

1
Frequency importance functions for a feature recognition test material.用于特征识别测试材料的频率重要性函数。
J Acoust Soc Am. 1988 Jun;83(6):2372-82. doi: 10.1121/1.396316.
2
Communicative ability in an audiological perspective. Theory and application to post-secondary school students.听力学视角下的沟通能力。理论及对大专院校学生的应用。
Scand Audiol Suppl. 1999;50:i-iv, 1-36.
3
A frequency importance function for continuous discourse.连续语篇的频率重要性函数。
J Acoust Soc Am. 1987 Apr;81(4):1130-8. doi: 10.1121/1.394633.
4
Frequency-weighting functions for broadband speech as estimated by a correlational method.
J Acoust Soc Am. 1998 Sep;104(3 Pt 1):1580-5. doi: 10.1121/1.424370.
5
Effect of stimulus bandwidth on auditory skills in normal-hearing and hearing-impaired children.刺激带宽对正常听力和听力受损儿童听觉技能的影响。
Ear Hear. 2007 Aug;28(4):483-94. doi: 10.1097/AUD.0b013e31806dc265.
6
Stop-consonant recognition for normal-hearing listeners and listeners with high-frequency hearing loss. II: Articulation index predictions.正常听力听众和高频听力损失听众的塞音识别。II:清晰度指数预测。
J Acoust Soc Am. 1989 Jan;85(1):355-64. doi: 10.1121/1.397687.
7
Band importance functions for audiological applications.用于听力学应用的频段重要性函数。
Ear Hear. 1994 Feb;15(1):100-4. doi: 10.1097/00003446-199402000-00012.
8
Effect of reducing slow temporal modulations on speech reception.降低缓慢时间调制对言语接收的影响。
J Acoust Soc Am. 1994 May;95(5 Pt 1):2670-80. doi: 10.1121/1.409836.
9
Providing low- and mid-frequency speech information to listeners with sensorineural hearing loss.为感音神经性听力损失的听众提供低频和中频语音信息。
J Acoust Soc Am. 2001 Jun;109(6):2999-3006. doi: 10.1121/1.1371757.
10
Estimates of basilar-membrane nonlinearity effects on masking of tones and speech.基底膜非线性对纯音和言语掩蔽影响的估计。
Ear Hear. 2007 Feb;28(1):2-17. doi: 10.1097/AUD.0b013e3180310212.

引用本文的文献

1
Band importance for speech-in-speech recognition in the presence of extended high-frequency cues.在存在扩展高频线索的情况下,语音内语音识别的声道重要性。
J Acoust Soc Am. 2024 Aug 1;156(2):1202-1213. doi: 10.1121/10.0028269.
2
Band importance for speech-in-speech recognition.语音中语音识别的频段重要性。
JASA Express Lett. 2021 Aug;1(8):084402. doi: 10.1121/10.0005762. Epub 2021 Aug 2.
3
The effect of speech material on the band importance function for Mandarin Chinese.言语材料对汉语普通话频带重要性函数的影响。
J Acoust Soc Am. 2019 Jul;146(1):445. doi: 10.1121/1.5116691.
4
Individualized frequency importance functions for listeners with sensorineural hearing loss.感音神经性听力损失患者的个性化频率重要性函数。
J Acoust Soc Am. 2019 Feb;145(2):822. doi: 10.1121/1.5090495.
5
An Analysis of Individual Differences in Recognizing Monosyllabic Words Under the Speech Intelligibility Index Framework.基于言语可懂度指数框架的单音节词识别个体差异分析。
Trends Hear. 2018 Jan-Dec;22:2331216518761773. doi: 10.1177/2331216518761773.
6
Children with autism spectrum disorder have reduced otoacoustic emissions at the 1 kHz mid-frequency region.患有自闭症谱系障碍的儿童在1千赫兹中频区域的耳声发射减少。
Autism Res. 2017 Feb;10(2):337-345. doi: 10.1002/aur.1663. Epub 2016 Jul 12.
7
Methods and applications of the audibility index in hearing aid selection and fitting.听力可听度指数在助听器选配中的方法与应用
Trends Amplif. 2002 Sep;6(3):81-129. doi: 10.1177/108471380200600302.
8
Set-size procedures for controlling variations in speech-reception performance with a fluctuating masker.控制随波动掩蔽变化的言语接受性能的集束程序。
J Acoust Soc Am. 2012 Oct;132(4):2676-89. doi: 10.1121/1.4746019.
9
Audibility-based predictions of speech recognition for children and adults with normal hearing.基于可听度的正常听力儿童和成人言语识别预测。
J Acoust Soc Am. 2011 Dec;130(6):4070-81. doi: 10.1121/1.3658476.