Study on the rapid prediction method of regional acoustic propagation fields using deep neural networks [0.03%]
基于深度神经网络的区域声场快速预测方法研究
Chuxiong Wang,Cheng Chen,Xiao Feng et al.
Chuxiong Wang et al.
This study introduces a convolutional neural network based method for rapid prediction of underwater acoustic propagation fields, addressing the high computational cost of traditional methods. By analyzing regional terrain features and cons...
A model of the reference frame of the ventriloquism aftereffect and saccade adaptation [0.03%]
木偶声效应和眼动适应参考框架的模型
Peter Lokša,Norbert Kopčo
Peter Lokša
Lokša and Kopco [Trends Hearing. 27, 23312165231201020 (2023)] introduced a model of the reference frame of the ventriloquism aftereffect (RFoVAE) that described many but not all available RFoVAE data by assuming that the auditory spatial ...
Annebelle C M Kok,Caroline Soderstjerna,Ella B Kim et al.
Annebelle C M Kok et al.
Many fish species are suspected to produce sound, but the variety of sounds they produce is still largely undocumented. This study investigated the presence and diversity of fish sounds in the Channel Islands National Marine Sanctuary. Besi...
Erratum: Sound quality, not speech recognition, explains cochlear implant-related quality of life outcomes [JASA Express Lett. 5, 104401 (2025)] [0.03%]
勘误：声音质量而非言语理解解释了人工耳蜗相关的生命质量结果[JASA Express Lett. 5, 104401 (2025)]
Katelyn A Berg,Hugh M Birky,Victoria A Sevich et al.
Katelyn A Berg et al.
Published Erratum
JASA express letters. 2026 Jan 1;6(1):019001. DOI:10.1121/10.0042231 2026
Effects of gemination and voicing on f0 in Italian across varying speaking rates [0.03%]
意第绪语中的连音和送气对不同说话速度下的F0影响
Francesco Burroni,Sireemas Maspong,James Kirby
Francesco Burroni
This study examines whether Italian geminate consonants influence the fundamental frequency (f0) of adjacent vowels and how such effects interact with voicing-related Cf0 perturbations. Audio and articulatory data from 23 speakers show that...
Identification of natural and man-made sounds in various scene complexities with temporal and spatial separation [0.03%]
具有时空分离的复杂场景中的自然和人工声音识别
Song Hui Chon,Wesley A Bulla,Sihyeon Park
Song Hui Chon
The present investigation revisited fundamental principles of auditory scene analysis via detection, discrimination, and identification of natural and man-made sounds. Soundscapes, both urban and natural, often contain multiple competing so...
Rényi entropy-based detection of North Atlantic right whale gunshot vocalizations [0.03%]
基于Rényi熵的北大西洋露脊鲸枪击声波检测
Artorix de la Cruz,Mae L Seto
Artorix de la Cruz
A Rényi spectral entropy is introduced for environment-adaptive detection of underwater acoustic signals in low signal-to-noise conditions. The Rényi order α is a control parameter; varying α enhances contrast between signals and backgr...
End-to-end audio-visual learning for cochlear implant sound coding simulations in noisy environments [0.03%]
用于人工耳蜗噪声环境声音编码仿真的端到端音视频学习法
Meng-Ping Lin,Enoch Hsin-Ho Huang,Shao-Yi Chien et al.
Meng-Ping Lin et al.
The cochlear implant (CI) is a successful biomedical device that enables individuals with severe-to-profound hearing loss to perceive sound through electrical stimulation, yet listening in noise remains challenging. Recent deep learning adv...
Inter- and intra-annual variation in the frequency of blue whale songs in Aotearoa New Zealand [0.03%]
新西兰蓝鲸歌声的年内和年际变化频率
Dawn R Barlow,Holger Klinck,Leigh G Torres
Dawn R Barlow
Blue whales produce stereotyped songs that are declining in fundamental frequency worldwide. We examine inter- and intra-annual frequency variation in the New Zealand population, which can be monitored year-round in the South Taranaki Bight...
Vibrotactile signals can aid recognition of spectrally degraded speech signals [0.03%]
触觉信号可以辅助识别频谱退化的语音信号
Susan Nittrouer,D H Whalen,Wei-Rong Chen
Susan Nittrouer
The potential utility of providing low-frequency portions of speech signals through vibrotactile stimulation as an aid to speech recognition by cochlear implant recipients was examined. Sixty-five young adults with normal hearing heard four...