Results 51 to 60 of about 132,661 (296)

Sensorimotor adaptation to auditory perturbation of speech is facilitated by noninvasive brain stimulation [PDF]

, 2018
Repeated exposure to disparity between the motor plan and auditory feedback during speech production results in a proportionate change in the motor system’s response called auditory-motor adaptation.
Chartrove, Julia, Daliri, Ayoub, Doughery, Sara C., Guenther, Frank H., Haenchen, Laura, Perrachione, Tyler K., Thurston, Emily J.   +6 more
core  

Deep Long Short-Term Memory Adaptive Beamforming Networks For Multichannel Robust Speech Recognition

, 2017
Far-field speech recognition in noisy and reverberant conditions remains a challenging problem despite recent deep learning breakthroughs. This problem is commonly addressed by acquiring a speech signal from multiple microphones and performing ...
Erdogan, Hakan, Hershey, John R., Meng, Zhong, Watanabe, Shinji   +3 more
core   +1 more source

Speech Sensorimotor Learning through a Virtual Vocal Tract [PDF]

, 2013
Studies of speech sensorimotor learning often manipulate auditory feedback by modifying isolated acoustic parameters such as formant frequency or fundamental frequency using near real-time resynthesis of a participant\u27s speech. An alternative approach
Berry, Jeffrey J., Johnson, Michael T, Meyers, Benjamin, North, Cassandra   +3 more
core   +2 more sources

Large‐Area 2D Metasurface‐Based Triboelectric E‐Skin Arrays: Contact & Proximity Tactile Mapping with Broadband Acoustic Readouts

Advanced Materials, EarlyView.
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief, Swagato Sarkar, Anik Kumar Ghosh, Osvalds Verners, Kamal Kumar Meena, Su‐Hyeong Lee, Soosang Chae, Tobias A. F. König, Beate Krause, Andreas Fery, Mehmet Sait Özer, Anindya Nag, Amit Das   +12 more
wiley   +1 more source

Adding Prior Knowledge in Hierarchical Attention Neural Network for Cross Domain Sentiment Classification

IEEE Access, 2019
Domain adaptation tasks have raised much attention in recent years, especially, the task of cross-domain sentiment classification (CDSC). Due to the domain discrepancy, a sentiment classifier trained in a source domain often performs less well, when ...
Tu Manshu, Wang Bing
doaj   +1 more source

Approximate Least Squares

, 2013
We present a novel iterative algorithm for approximating the linear least squares solution with low complexity. After a motivation of the algorithm we discuss the algorithm's properties including its complexity, and we present theoretical results as well
Huemer, Mario, Lunglmayr, Michael, Unterrieder, Christoph   +2 more
core   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Continuous speech recognition by convolutional neural networks

工程科学学报, 2015
Convolutional neural networks (CNNs), which show success in achieving translation invariance for many image processing tasks, were investigated for continuous speech recognition.
ZHANG Qing-qing, LIU Yong, PAN Jie-lin, YAN Yong-hong   +3 more
doaj   +1 more source

LWMD: A Comprehensive Compression Platform for End-to-End Automatic Speech Recognition Models

Applied Sciences, 2023
Recently end-to-end (E2E) automatic speech recognition (ASR) models have achieved promising performance. However, existing models tend to adopt increasing model sizes and suffer from expensive resource consumption for real-world applications. To compress
Yukun Liu, Ta Li, Pengyuan Zhang, Yonghong Yan   +3 more
doaj   +1 more source

Context-Dependent Acoustic Modeling without Explicit Phone Clustering

, 2020
Phoneme-based acoustic modeling of large vocabulary automatic speech recognition takes advantage of phoneme context. The large number of context-dependent (CD) phonemes and their highly varying statistics require tying or smoothing to enable robust ...
Beck, Eugen, Ney, Hermann, Raissi, Tina, Schlüter, Ralf   +3 more
core   +1 more source