12 papers · ranked by Valyu relevance
Jianwei Yang, Chang Liu, Qitong Xu, Jinyi Tai + 2 more
The rotate vector (RV) reducer has a complex structure and highly coupled internal components. Acoustic emission (AE) signal, which is more sensitive to a weak fault, is selected for fault diagnosis of the RV reducer. The high sampling frequency and big data are the challenges for AE signal store and analysis. This…
Kostas Kondylidis, Anna Vavakou, Marcel van der Heijden
In the mammalian cochlea, the transduction from vibrations to inner hair cell receptor currents is preceded by a stage of mechanical pre-processing that involves a rapid, strongly nonlinear compression. The mechanisms by which the cochlea realizes this dynamic compression are still poorly understood. Previous work by…
Ikuo Matsuo, Kazuo Ueda, Yoshitaka Nakajima
Previous speech compression methods for practical purposes had been based on signal prediction, taking the auditory functions into account but overlooking features specific to speech signals. A new method was developed in which amplitude envelopes in four frequency bands corresponding to spectral factors common to…
Yong Guk Kim, Dong Gwan Kim, Kyucheol Kim, Chang-Ho Choi + 3 more
'Nam In Park' 'Hong Kook Kim' 'Iren E. Kuznetsova'] In this paper, we propose a new compression method using underwater acoustic sensor signals for underwater surveillance. Generally, sonar applications that are used for surveillance or ocean monitoring are composed of many underwater acoustic sensors to detect…
Huajun Bai, Liang Wen, Yunfei Ma, Xisheng Jia + 1 more
It is critical to deploy wireless data transmission technologies remotely, in real-time, to monitor the health state of diesel engines dynamically. The usual approach to data compression is to collect data first, then compress it; however, we cannot ensure the correctness and efficiency of the data. Based on sparse…
Tiffany Leung, Valeriia Perepelytsia, Vladimir Despotovic, Jessica Oreskovic + 2 more
Background Vocal biomarkers, derived from acoustic analysis of vocal characteristics, offer noninvasive avenues for medical screening, diagnostics, and monitoring. Previous research demonstrated the feasibility of predicting type 2 diabetes mellitus through acoustic analysis of smartphone-recorded speech. Building upon…
Brian C. J. Moore
Some of the problems experienced by users of hearing aids (HAs) when listening to music are relevant to cochlear implants (CIs). One problem is related to the high peak levels (up to 120 dB SPL) that occur in live music. Some HAs and CIs overload at such levels, because of the limited dynamic range of the microphones…
Aniol Martí, Jordi Portell, Jaume Riba, Orestes Mas + 1 more
We propose an algorithm based on linear prediction that can perform both the lossless and near-lossless compression of RF signals. The proposed algorithm is coupled with two signal detection methods to determine the presence of relevant signals and apply varying levels of loss as needed. The first method uses spectrum…
Robin Gransier, Sara Peeters, Jan Wouters
Intelligibility of time-compressed (TC) speech decreases with increasing speech rate. However, intelligibility can be restored by ‘repackaging’ the TC speech by inserting silences between the syllables so that the original ‘rhythm’ is restored. Although restoration of the speech rhythm affects solely the temporal…
Xiaolong Hao, Yangtao Hu, Bingnan Yan, Hang Hui + 3 more
'Bingqi Zhang' 'Miguel Ardid Ramírez'] The substantial volume of data acquired through remote-detection acoustic logging poses a remarkable challenge because of the limited real-time upload speed of the cable, which severely impedes its further application. To address this issue, a two-stage data compression method…
Martin Jälmby, Filip Elvander, Toon van Waterschoot
Room impulse responses (RIRs) are used in several applications, such as augmented reality and virtual reality. These applications require a large number of RIRs to be convolved with audio, under strict latency constraints. In this paper, we consider the compression of RIRs, in conjunction with fast time-domain…
Anna R. Tinnemore, Lauren Montero, Sandra Gordon-Salant, Matthew J. Goupell
'Matthew J. Goupell'] Speech recognition is diminished when a listener has an auditory temporal processing deficit. Such deficits occur in listeners over 65 years old with normal hearing (NH) and with age-related hearing loss, but their source is still unclear. These deficits may be especially apparent when speech…