• 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

建模具有时变耳间相位差掩蔽器的双耳掩蔽语音中的迟钝现象。

Modeling Sluggishness in Binaural Unmasking of Speech for Maskers With Time-Varying Interaural Phase Differences.

机构信息

1 Medizinische Physik, Carl von Ossietzky Universität, Oldenburg, Germany.

2 Cluster of Excellence Hearing4All, Carl von Ossietzky Universität, Oldenburg, Germany.

出版信息

Trends Hear. 2018 Jan-Dec;22:2331216517753547. doi: 10.1177/2331216517753547.

DOI:10.1177/2331216517753547
PMID:29338577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5774735/
Abstract

In studies investigating binaural processing in human listeners, relatively long and task-dependent time constants of a binaural window ranging from 10 ms to 250 ms have been observed. Such time constants are often thought to reflect "binaural sluggishness." In this study, the effect of binaural sluggishness on binaural unmasking of speech in stationary speech-shaped noise is investigated in 10 listeners with normal hearing. In order to design a masking signal with temporally varying binaural cues, the interaural phase difference of the noise was modulated sinusoidally with frequencies ranging from 0.25 Hz to 64 Hz. The lowest, that is the best, speech reception thresholds (SRTs) were observed for the lowest modulation frequency. SRTs increased with increasing modulation frequency up to 4 Hz. For higher modulation frequencies, SRTs remained constant in the range of 1 dB to 1.5 dB below the SRT determined in the diotic situation. The outcome of the experiment was simulated using a short-term binaural speech intelligibility model, which combines an equalization-cancellation (EC) model with the speech intelligibility index. This model segments the incoming signal into 23.2-ms time frames in order to predict release from masking in modulated noises. In order to predict the results from this study, the model required a further time constant applied to the EC mechanism representing binaural sluggishness. The best agreement with perceptual data was achieved using a temporal window of 200 ms in the EC mechanism.

摘要

在研究人类听众的双耳处理时,观察到的双耳窗口的时间常数相对较长且依赖于任务,范围从 10ms 到 250ms。这种时间常数通常被认为反映了“双耳迟钝”。在这项研究中,10 名听力正常的听众研究了双耳迟钝对稳态语音噪声中语音掩蔽的影响。为了设计具有时变双耳线索的掩蔽信号,噪声的耳间相位差以 0.25Hz 至 64Hz 的频率进行正弦调制。最低调制频率下观察到了最佳的语音接收阈值 (SRT)。随着调制频率的增加,SRT 增加到 4Hz 。对于更高的调制频率,SRT 在 1 分贝至 1.5 分贝的范围内保持恒定,低于在同态情况下确定的 SRT。使用短期双耳语音可懂度模型模拟实验结果,该模型将均衡-消除 (EC) 模型与语音可懂度指数相结合。该模型将输入信号分成 23.2ms 的时间帧,以预测调制噪声中的掩蔽释放。为了预测本研究的结果,模型需要进一步的时间常数应用于表示双耳迟钝的 EC 机制。在 EC 机制中使用 200ms 的时间窗口可以实现与感知数据的最佳一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/7c9364f850d5/10.1177_2331216517753547-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/1f929b306990/10.1177_2331216517753547-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/98e17e0ab230/10.1177_2331216517753547-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/e25a97570fff/10.1177_2331216517753547-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/3b494f2952e2/10.1177_2331216517753547-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/7c9364f850d5/10.1177_2331216517753547-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/1f929b306990/10.1177_2331216517753547-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/98e17e0ab230/10.1177_2331216517753547-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/e25a97570fff/10.1177_2331216517753547-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/3b494f2952e2/10.1177_2331216517753547-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c09/5774735/7c9364f850d5/10.1177_2331216517753547-fig5.jpg

相似文献

1
Modeling Sluggishness in Binaural Unmasking of Speech for Maskers With Time-Varying Interaural Phase Differences.建模具有时变耳间相位差掩蔽器的双耳掩蔽语音中的迟钝现象。
Trends Hear. 2018 Jan-Dec;22:2331216517753547. doi: 10.1177/2331216517753547.
2
Binaural sluggishness in the perception of tone sequences and speech in noise.双耳在音调序列感知和噪声环境下语音感知方面的迟缓。
J Acoust Soc Am. 2000 Jan;107(1):517-27. doi: 10.1121/1.428320.
3
Binaural speech intelligibility in rooms with variations in spatial location of sources and modulation depth of noise interferers.双耳语音清晰度在声源空间位置变化和噪声干扰调制深度的房间中。
J Acoust Soc Am. 2013 Aug;134(2):1146-59. doi: 10.1121/1.4812248.
4
Temporal Fine-Structure Coding and Lateralized Speech Perception in Normal-Hearing and Hearing-Impaired Listeners.正常听力和听力障碍者的时间精细结构编码和侧化言语感知。
Trends Hear. 2016 Sep 5;20:2331216516660962. doi: 10.1177/2331216516660962.
5
Comparing Binaural Pre-processing Strategies III: Speech Intelligibility of Normal-Hearing and Hearing-Impaired Listeners.双耳预处理策略比较III:正常听力和听力受损听众的言语可懂度
Trends Hear. 2015 Dec 30;19:2331216515618609. doi: 10.1177/2331216515618609.
6
Modelling binaural unmasking and the intelligibility of speech in noise and reverberation for normal-hearing and hearing-impaired listeners.为正常听力和听力障碍的听众建立双耳掩蔽模型和噪声与混响环境下言语可懂度模型。
J Acoust Soc Am. 2021 Nov;150(5):3275. doi: 10.1121/10.0006736.
7
A Binaural Grouping Model for Predicting Speech Intelligibility in Multitalker Environments.双耳分组模型在多说话人环境下预测言语可懂度。
Trends Hear. 2016 Oct 3;20:2331216516669919. doi: 10.1177/2331216516669919.
8
Microscopic prediction of speech intelligibility in spatially distributed speech-shaped noise for normal-hearing listeners.正常听力听众在空间分布的言语形状噪声中言语可懂度的微观预测。
J Acoust Soc Am. 2015 Dec;138(6):4004-15. doi: 10.1121/1.4938230.
9
Speech reception with different bilateral directional processing schemes: Influence of binaural hearing, audiometric asymmetry, and acoustic scenario.采用不同双边定向处理方案时的言语接收:双耳听力、听力不对称及声学场景的影响
Hear Res. 2017 Sep;353:36-48. doi: 10.1016/j.heares.2017.07.014. Epub 2017 Jul 29.
10
Effects of reverberation and masker fluctuations on binaural unmasking of speech.混响和掩蔽噪声波动对语音双耳掩蔽的影响。
J Acoust Soc Am. 2012 Sep;132(3):1581-91. doi: 10.1121/1.4740500.

引用本文的文献

1
Cortical mechanisms of across-ear speech integration investigated using functional near-infrared spectroscopy (fNIRS).使用功能近红外光谱 (fNIRS) 研究跨耳语音整合的皮质机制。
PLoS One. 2024 Sep 18;19(9):e0307158. doi: 10.1371/journal.pone.0307158. eCollection 2024.
2
Development and Validation of the Spatial Separation Sentence Test in Kannada.卡纳达语空间分离句子测试的开发与验证
J Audiol Otol. 2024 Jul;28(3):228-235. doi: 10.7874/jao.2023.00325. Epub 2024 Apr 30.
3
Modelling speech reception thresholds and their improvements due to spatial noise reduction algorithms in bimodal cochlear implant users.

本文引用的文献

1
Predicting binaural speech intelligibility using the signal-to-noise ratio in the envelope power spectrum domain.在包络功率谱域中利用信噪比预测双耳言语可懂度。
J Acoust Soc Am. 2016 Jul;140(1):192. doi: 10.1121/1.4954254.
2
Application of a short-time version of the Equalization-Cancellation model to speech intelligibility experiments with speech maskers.均衡消除模型的短时间版本在带语音掩蔽器的语音可懂度实验中的应用。
J Acoust Soc Am. 2014 Aug;136(2):768-76. doi: 10.1121/1.4884767.
3
A multi-resolution envelope-power based model for speech intelligibility.
模拟双模式人工耳蜗使用者的言语接受阈及其因空间降噪算法而提高的情况。
Hear Res. 2022 Jul;420:108507. doi: 10.1016/j.heares.2022.108507. Epub 2022 Apr 11.
4
Harmonic Cancellation-A Fundamental of Auditory Scene Analysis.听觉场景分析的基础:谐波抵消。
Trends Hear. 2021 Jan-Dec;25:23312165211041422. doi: 10.1177/23312165211041422.
5
High-resolution temporal weighting of interaural time differences in speech.言语中两耳时间差的高分辨率时间加权。
J Acoust Soc Am. 2021 Aug;150(2):1311. doi: 10.1121/10.0005934.
6
Binaural Recordings in Natural Acoustic Environments: Estimates of Speech-Likeness and Interaural Parameters.双耳录音在自然声学环境下:语音相似性和双耳参数的估计。
Trends Hear. 2020 Jan-Dec;24:2331216520972858. doi: 10.1177/2331216520972858.
7
Improved binaural speech reception thresholds through small symmetrical separation of speech and noise.通过语音与噪声的小对称分离提高双耳语音接收阈值。
PLoS One. 2020 Aug 5;15(8):e0236469. doi: 10.1371/journal.pone.0236469. eCollection 2020.
8
Binaural sensitivity and release from speech-on-speech masking in listeners with and without hearing loss.有听力损失和无听力损失的听众的双耳敏感性及从言语掩蔽中解脱的能力
J Acoust Soc Am. 2020 Mar;147(3):1546. doi: 10.1121/10.0000812.
9
Measurement and Prediction of Binaural-Temporal Integration of Speech Reflections.测量和预测语音反射的双耳时间整合。
Trends Hear. 2019 Jan-Dec;23:2331216519854267. doi: 10.1177/2331216519854267.
10
Benefit of binaural listening as revealed by speech intelligibility and listening effort.双耳聆听在言语可懂度和聆听努力方面的益处。
J Acoust Soc Am. 2018 Oct;144(4):2147. doi: 10.1121/1.5057114.
基于多分辨率包络功率的语音可懂度模型。
J Acoust Soc Am. 2013 Jul;134(1):436-46. doi: 10.1121/1.4807563.
4
Speech intelligibility among modulated and spatially distributed noise sources.调制和空间分布噪声源之间的语音可懂度。
J Acoust Soc Am. 2013 Apr;133(4):2254-61. doi: 10.1121/1.4794384.
5
Binaural prediction of speech intelligibility in reverberant rooms with multiple noise sources.双耳预测混响房间多噪声源下的语音可懂度。
J Acoust Soc Am. 2012 Jan;131(1):218-31. doi: 10.1121/1.3662075.
6
Revision, extension, and evaluation of a binaural speech intelligibility model.双耳语音可懂度模型的修订、扩展和评估。
J Acoust Soc Am. 2010 Apr;127(4):2479-97. doi: 10.1121/1.3295575.
7
Prediction of binaural speech intelligibility against noise in rooms.双耳语音在噪声环境下的可懂度预测。
J Acoust Soc Am. 2010 Jan;127(1):387-99. doi: 10.1121/1.3268612.
8
Prediction of binaural speech intelligibility with frequency-dependent interaural phase differences.基于频率依赖双耳相位差的双耳语音可懂度预测
J Acoust Soc Am. 2009 Sep;126(3):1359-68. doi: 10.1121/1.3177266.
9
Prediction of speech intelligibility in spatial noise and reverberation for normal-hearing and hearing-impaired listeners.正常听力和听力受损听众在空间噪声和混响环境下言语可懂度的预测。
J Acoust Soc Am. 2006 Jul;120(1):331-42. doi: 10.1121/1.2202888.
10
A Speech Intelligibility Index-based approach to predict the speech reception threshold for sentences in fluctuating noise for normal-hearing listeners.一种基于言语可懂度指数的方法,用于预测正常听力听众在波动噪声中对句子的言语接受阈值。
J Acoust Soc Am. 2005 Apr;117(4 Pt 1):2181-92. doi: 10.1121/1.1861713.