Subject instructions for improved characterization of auditory representations using reverse correlation [0.03%]
听觉表征的反向相关特征改善指导意见
Gidey W Gezae,Nelson V Barnett,Benjamin Parrell et al.
Gidey W Gezae et al.
Reverse correlation (RC) is an established method for reconstructing auditory representations and has recently emerged as a tool for characterizing the sounds experienced by tinnitus patients. Tod further optimize RC for auditory research, ...
Ingo R Titze,M Ben Christensen,Patrick A Tresco
Ingo R Titze
When stretch and vibration are applied, human vocal folds develop from an isotropic gel-like structure to a layered structure with specific fiber direction. A human vocal fold fibroblast cell line was used to seed polyurethane foams that we...
Convergent evidence for a pitch deficit in hyperfunctional voice disorders [0.03%]
关于发声障碍患者音高缺陷的聚合证据
Virginia Best,Turley Duque,Defne Abur et al.
Virginia Best et al.
A recent study in individuals with hyperfunctional voice disorders (HVDs) reported poorer fo discrimination compared to matched controls. In that study, fo discrimination was measured using each individual's own voice as the stimulus, which...
Blind weak signal detection via dictionary learning in time-spreading distortion channels using vector sensors [0.03%]
时域展宽衰落信道中基于字典学习的盲弱信号检测方法研究
Rami Rashid,Ali Abdi,Zoi-Heleni Michalopoulou
Rami Rashid
This paper presents a blind passive signal detection method for underwater sparse time-spreading distortion (TSD) channels, employing a dictionary learning (DL) algorithm. This approach estimates and separates the unknown signal from the un...
Examining variability and generalization in dimension-based statistical learning for speech: The case of place of articulation [0.03%]
基于维度的统计学习在语音中的变化性和泛化能力考察——以发音部位为例
Jeremy Steffman,Minxuan He,Seb Segger-Staveley
Jeremy Steffman
In this study, the question of generalization for dimension-based statistical learning in speech perception is revisited. Learning for F0 and voice-onset-time as cues to stop voicing has been suggested to be fairly specific to a particular ...
Parallel tempering in trans-dimensional Bayesian geoacoustic inversion for high-information-content data and multi-parameter models [0.03%]
高信息内容数据和多参数模型变维贝叶斯地质声学反演的并行 tempering算法
Stan E Dosso
Stan E Dosso
Trans-dimensional (trans-D) Bayesian inversion is a powerful approach to estimate seabed geoacoustic models from ocean-acoustic data, combining quantitative model selection and uncertainty estimation. Trans-D inversion samples probabilistic...
Speech intelligibility in multitalker situations with vibrotactile spatial cueing [0.03%]
多说话人情况下通过振动触觉空间线索提高言语可懂度
Lilian Nguyen,Gabriel Arnold,Guillaume Andéol et al.
Lilian Nguyen et al.
Degraded speech intelligibility in multitalker situations can be improved by spatial unmasking, using sound spatialization techniques such as binaural synthesis. However, intelligibility also depends on the ability to focus efficiently on t...
Ultrasound measurement of relative tongue size and its correlation with tongue mobility for healthy individuals [0.03%]
健康人群的相对舌大小超声测量及其与舌灵活性的相关性研究
Jing Sun,Tatsuya Kitamura,Yukiko Nota et al.
Jing Sun et al.
The size of an individual's tongue relative to the oral cavity is associated with articulation speed [Feng, Lu, Zheng, Chi, and Honda, in Proceedings of the 10th Biennial Asia Pacific Conference on Speech, Language, and Hearing (2017), pp. ...
Effects of reference sound speed on underwater acoustic direction-of-arrival estimation with horizontal plane array [0.03%]
参考声速误差对水平阵列水下声学DOA估计的影响研究
Feitong Chen,Lianghao Guo,Yuhan Liu et al.
Feitong Chen et al.
Direction-of-arrival (DOA) estimation of an underwater acoustic target is usually dependent on the selection of reference sound speed. For a horizontal line array, severe error of DOA estimation is induced when reference sound speed diverge...
Adaptive physics-informed neural networks for underwater acoustic field predictiona) [0.03%]
自适应的物理信息神经网络在水下声场预测中的应用
Zhengyi Li,Ting Zhang,Lei Cheng
Zhengyi Li
This paper introduces an adaptive physics-informed neural network for predicting underwater pressure fields. A gradient-based adaptive weighting method is proposed to address the imbalance between physics-constrained and data-fidelity terms...