Results 91 to 100 of about 132,794 (332)

Towards Language-Universal End-to-End Speech Recognition

, 2017
Building speech recognizers in multiple languages typically involves replicating a monolingual training recipe for each language, or utilizing a multi-task learning approach where models for different languages have separate output labels but share some ...
Kim, Suyoun, Seltzer, Michael L.
core   +1 more source

Multi‐Dimensional Acoustic Cascaded Holographic Encryption with Instantaneous Visual Decryption via Particle Manipulation

Advanced Science, EarlyView.
Acoustic holograms act as key tools for information encryption, yet current schemes limit encryption dimensionality/security and require time‐consuming decryption. A compact device integrates multi‐dimensional cascaded acoustic holography with particle manipulation, employs extra secret keys, enables rapid decryption, and is validated via 1D/2D/3D ...
Qin Lin, Feiyan Cai, Yunqing Liu, Zejiao Zhou, Jiayang Li, Rujun Zhang, Hongpeng Chen, Hairong Zheng, Huailing Zhang   +8 more
wiley   +1 more source

A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition

Advanced Science, EarlyView.
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu, Guanming Lin, Xiaohui Hong, Chuting Liu, Xinyi Qu, Kangjian Jiao, Lei Zhang, Bingzhe Xu, Jun Yan, Yancong Qiao, Xudong Lin   +10 more
wiley   +1 more source

Mel-Weighted Single Frequency Filtering Spectrogram for Dialect Identification

IEEE Access, 2020
In this study, we propose Mel-weighted single frequency filtering (SFF) spectrograms for dialect identification. The spectrum derived using SFF has high spectral resolution for harmonics and resonances while simultaneously maintaining good time ...
Rashmi Kethireddy, Sudarsana Reddy Kadiri, Paavo Alku, Suryakanth V. Gangashetty   +3 more
doaj   +1 more source

Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models

, 2018
In this paper, we describe how to efficiently implement an acoustic room simulator to generate large-scale simulated data for training deep neural networks.
Bacchiani, Michiel, Kim, Chanwoo, Narayanan, Arun, Variani, Ehsan   +3 more
core   +1 more source

Curvy Surface Reconstruction

Advanced Science, EarlyView.
This review introduces the concept of “general curvy surface reconstruction,” which incorporates both geometric and physical dimensions, representing an upgrade over conventional geometric reconstruction that focuses solely on spatial relationships. Particular emphasis is placed on the emerging opportunities enabled by advanced measurement techniques ...
Chen Shang, Haoyu Qi, Zhigang Wang, Keyu Meng, Zeye Liu, Zeng Meng, Yu Yang, Jianjun Wang, Shan Jiang   +8 more
wiley   +1 more source

Improving transfer function measurements for three-dimensionally printed waveguides using a sand layer [PDF]

JASA Express Letters
The reciprocity principle is widely used for acoustic measurements, including three-dimensionally printed waveguide transfer functions. Previous studies revealed unexpected deviations in the 1–4 kHz range, likely due to secondary transmission paths. This
Rémi Blandin, Patrick Häsner, Peter Birkholz   +2 more
doaj   +1 more source

LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices

, 2016
Recent developments in speech synthesis have produced systems capable of outcome intelligible speech, but now researchers strive to create models that more accurately mimic human voices.
Coto-Jiménez, Marvin, Goddard-Close, John   +1 more
core   +1 more source

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
ABSTRACT The blood‐brain barrier (BBB) renders the delivery of nanomedicine in the brain ineffective and the detection of circulating disease‐related DNA from the brain unreliable. Here, we demonstrate that microbubble‐enhanced focused ultrasound (MB‐FUS) mediated BBB opening, supported by large‐data models predict sonication regimens for safe and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

Empowering Flexible Electronics with Piezoelectric Nanogenerators: Breakthroughs from Energy Harvesting to Intelligent Sensing

Advanced Science, EarlyView.
This review systematically summarizes recent advances in self‐powered flexible sensing and energy storage systems based on piezoelectric nanogenerators (PENGs). It highlights their fundamental mechanisms, structural designs, and applications in health monitoring, e‐skin, and tactile sensing. The integration of PENGs with supercapacitors or batteries is
Wu‐Lin Xin, He‐Qing Cai, Xi Cui, Lu Han, Kou Zhang, Xin‐Yu Xue, Yi‐Fei Song, Juan Liu, Zhou Li   +8 more
wiley   +1 more source