Audio quality predictions correlate with perception of processing delays across different simulated hearing device conditions [0.03%]
不同听力辅助设备条件下的音频质量预测与处理延迟感知相关性研究
Kristin Ohlmann,Thomas Biberger,Birger Kollmeier
Kristin Ohlmann
Processing delays can degrade listening experience, especially where direct and delayed sound paths interact. Although noticeability of delays has been modeled successfully, it is unclear how well models generalize across different types of...
Generalization of repetition-based segregation with novel sounds and nonsense speech [0.03%]
基于重复的分离范式的通用化研究——新材料和无意义口语
Michelle R Kapolowicz,Vahid Montazeri,Dimitri L Brunelle et al.
Michelle R Kapolowicz et al.
Repetition helps listeners identify an unfamiliar target sound in the presence of different competing sounds and later recognize it in quiet. To further characterize this perceptual learning process, we tested whether recognition remains ro...
Objective comparison of audiometric profile frameworks across large-scale datasets [0.03%]
大规模数据集中听力图谱框架的客观比较
Chen Xu
Chen Xu
Audiometric profiles classify individuals according to patterns of hearing loss derived from the audiogram. Although several audiogram-based profiling frameworks have been proposed, the influence of dataset characteristics on their structur...
Modeling sperm whale seasonal dynamics using probabilistic machine learning of passive acoustic data [0.03%]
基于被动声学数据的概率机器学习模拟抹香鲸的季节动态变化
Naomi Ciampaglio,Natalia Sidorovskaia,Phillip Whitman
Naomi Ciampaglio
Seasonal variability in sperm whale acoustic activity in the northern Gulf of Mexico remains poorly understood. Using two years of passive acoustic data, hourly click counts were analyzed to characterize seasonal patterns in whale presence ...
Multi-layer residual beamforming for underwater acoustic source bearing estimation [0.03%]
多层残差波束形成 Underwater 声源定位方法研究
Yong Chen,Fang Wang
Yong Chen
Deconvolution beamforming maintains robustness against array mismatch and limited snapshots in underwater source localization, yet its resolution and accuracy require improvement. Inspired by deep learning architectures, this work proposes ...
Localization of multiple underwater sources with cyclic Hough transform based on multi-array systems [0.03%]
基于多阵列系统的循环霍夫变换多水下声源定位方法研究
Lu Wang,Qiang Li,Yixin Yang
Lu Wang
A multi-source localization approach is proposed based on the correct association of the line of bearings (LOBs) with multi-array systems. The LOBs are detected and extracted by applying the subband peak energy detection to the steered resp...
Three-dimensional passive localization of near-surface targets using a deep-sea bottom mounted horizontal array [0.03%]
基于深海海底水平线列阵的近海底目标三维被动定位方法
Junwei Zeng,Jianbo Zhou,Zhengliang Hu et al.
Junwei Zeng et al.
This paper presents a three-dimensional passive localization method for near-surface targets utilizing a deep-sea bottom horizontal array. The target range and azimuth are initially constrained to a cluster of curves derived from the measur...
Speaker-dependent laser Doppler vibrometer-based voice conversion for dysarthric speech under noisy conditions [0.03%]
基于说话人自适应的激光多普勒测振仪失语症语音转换算法研究
Yu-Chuan Lee,Wei-Zhong Zheng,Jia-Wei Chen et al.
Yu-Chuan Lee et al.
This study proposed the integration of a laser Doppler vibrometer sensing with a Variational Inference with adversarial learning for Text-to-Speech-based voice conversion system to enhance automatic speech recognition for individuals with d...
Exploiting relative transfer function for source localization in underwater acoustics [0.03%]
利用相对传输函数进行水声定位
Baptiste Menetrier,Abdel-Ouahab Boudraa,G Bazile Kinda et al.
Baptiste Menetrier et al.
Passive source localization techniques employing data-derived replicas have recently gained attention as an effective means of mitigating well-known mismatch issues associated with matched field processing methods. Conventional approaches t...
Moderate but not high noise during training is associated with stronger generalization to quiet [0.03%]
中等强度而非高强度的噪声与安静环境下的更强泛化能力相关
Akshay R Maggu,Carly Furlong
Akshay R Maggu
Speech learning often occurs under adverse acoustic conditions, yet learned representations are later accessed in quiet. This study asked whether word learning acquired under background noise generalizes to quiet listening and whether gener...