Results 61 to 70 of about 82,725 (259)

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Effective Phoneme Decoding With Hyperbolic Neural Networks for High-Performance Speech BCIs

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Objective: Speech brain-computer interfaces (speech BCIs), which convert brain signals into spoken words or sentences, have demonstrated great potential for high-performance BCI communication. Phonemes are the basic pronunciation units.
Xianhan Tan, Qi Lian, Junming Zhu, Jianmin Zhang, Yueming Wang, Yu Qi   +5 more
doaj   +1 more source

Using Gesture to Facilitate L2 Phoneme Acquisition: The Importance of Gesture and Phoneme Complexity

Frontiers in Psychology, 2020
Most language learners have difficulties acquiring the phonemes of a second language (L2). Unfortunately, they are often judged on their L2 pronunciation, and segmental inaccuracies contribute to miscommunication.
Marieke Hoetjes, Lieke van Maastricht
doaj   +1 more source

Aban Yasht: A Review of the Critique of its Critique [PDF]

̒Ilm-i Zabān, 2019
In the 3rd issue of the Journal of Language Science, Ehsan Changizi wrote a review on the Aban Yasht written by Changiz Mowlaee. In the 4th issue of the same journal, Mowlaee wrote a critique of that review and evaluated it as being false and incorrect ...
Marziye Foruqi
doaj   +1 more source

Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals

, 2016
Human infants can discover words directly from unsegmented speech signals without any explicitly labeled data. In this paper, we develop a novel machine learning method called nonparametric Bayesian double articulation analyzer (NPB-DAA) that can ...
Nagasaka, Shogo, Nakashima, Ryo, Taniguchi, Tadahiro   +2 more
core   +1 more source

Early Spectral Resolution Predicts Later Speech Recognition in Adult Cochlear Implant Recipients

The Laryngoscope, EarlyView.
In 531 ears from 498 adult cochlear implant recipients, spectral modulation detection (EasyQSMD) stabilized within 1 week post‐activation and significantly predicted later speech recognition outcomes. Early spectral resolution thresholds can identify potential poor performers during the critical first month, enabling earlier implementation of targeted ...
Katelyn A. Berg, Jillian B. Roberts, Michael Z. Burchesky, René H. Gifford   +3 more
wiley   +1 more source

Metaphoric Gestures Facilitate Perception of Intonation More than Length in Auditory Judgments of Non-Native Phonemic Contrasts

Collabra: Psychology, 2017
It is well established that hand gestures affect comprehension and learning of semantic aspects of a foreign language (FL). However, much less is known about the role of hand gestures in lower-level language processes, such as perception of phonemes.
Spencer Kelly, April Bailey, Yukari Hirata   +2 more
doaj   +1 more source

Personalized Acoustic Modeling by Weakly Supervised Multi-Task Deep Learning using Acoustic Tokens Discovered from Unlabeled Data

, 2017
It is well known that recognizers personalized to each user are much more effective than user-independent recognizers. With the popularity of smartphones today, although it is not difficult to collect a large set of audio data for each user, it is ...
Chung, Cheng-Tao, Lee, Hung-Yi, Lee, Lin-Shan, Wei, Cheng-Kuan   +3 more
core   +1 more source

The Spectrum of Abnormal Tongue Movements: Review of Phenomenology, Etiology, and Differential Diagnosis

Movement Disorders Clinical Practice, EarlyView.
ABSTRACT Background Classifying abnormal tongue movements is challenging due to their varied presentations and limited visibility compared to other body parts. Accurate identification of the phenomenology guides physical examination and can point to specific diagnoses.
Nathaniel Bendahan, Seyed‐Mohammad Fereshtehnejad, Christos Ganos, Emily Swinkin, Anthony E. Lang   +4 more
wiley   +1 more source

Improving Automatic Forced Alignment for Phoneme Segmentation in Quranic Recitation

IEEE Access
Segmentation plays a crucial role in speech processing applications, where high accuracy is essential. The quest for improved accuracy in automatic segmentation, particularly in the context of the Arabic language, has garnered substantial attention ...
Ammar Mohammed Ali Alqadasi, Akram M. Zeki, Mohd Shahrizal Sunar, Md. Sah Bin Hj Salam, Rawad Abdulghafor, Nashwan Abdo Khaled   +5 more
doaj   +1 more source