Results 31 to 40 of about 2,146 (182)

Digging Deep: Dynamic Programming for Optimal Routing With Double‐Deep Autonomous Mobile Robot Picking

Networks, EarlyView.
ABSTRACT Multi‐tote autonomous mobile robots (MT‐AMRs) are an emerging warehousing technology in which a mobile drive unit carries a lift‐based storage‐and‐retrieval mechanism with an extendable fork and a multi‐tote onboard buffer. On autonomous picking tours, an MT‐AMR visits storage locations, extracts product totes from racks, stores them in its ...
Nils Boysen, Fabian Hennig, Tobias Kroll
wiley   +1 more source

Real‐Time AI Voice Translation for International Medical Conferences and Beyond: Enabling Multilingual Scientific Exchange

Pediatric Anesthesia, EarlyView.
ABSTRACT Background Language barriers continue to limit participation in international medical communication, and recent advances in artificial intelligence now enable real‐time voice translation to support multilingual scientific exchange. Approach: We describe a demonstration of a bidirectional AI‐mediated voice translation configuration at a ...
Clyde Matava, Benjamin Voit, Achim Schmitz, Thomas Engelhardt   +3 more
wiley   +1 more source

AS-ASR: A Lightweight Framework for Aphasia-Specific Automatic Speech Recognition

2025 IEEE Biomedical Circuits and Systems Conference (BioCAS)
This paper proposes AS-ASR, a lightweight aphasia-specific speech recognition framework based on Whisper-tiny, tailored for low-resource deployment on edge devices. Our approach introduces a hybrid training strategy that systematically combines standard and aphasic speech at varying ratios, enabling robust generalization, and a GPT-4-based reference ...
Chen Bao, Chuanbing Huo, Qinyu Chen, Chang Gao 0002   +3 more
openaire   +2 more sources

Usage of Prosody Modification and Acoustic Adaptation for Robust Automatic Speech Recognition (ASR) System

Revue d'Intelligence Artificielle, 2021
Most of the automatic speech recognition (ASR) systems are trained using adult speech due to the less availability of the children's speech dataset. The speech recognition rate of such systems is very less when tested using the children's speech, due to the presence of the inter-speaker acoustic variabilities between the adults and children's speech ...
Vivek Bhardwaj 0001, Vinay Kukreja, Amitoj Singh   +2 more
openaire   +2 more sources

Automatic recognition of second language speech-in-noise [PDF]

JASA Express Letters
Measuring how well human listeners recognize speech under varying environmental conditions (speech intelligibility) is a challenge for theoretical, technological, and clinical approaches to speech communication.
Seung-Eun Kim, Bronya R. Chernyak, Olga Seleznova, Joseph Keshet, Matthew Goldrick, Ann R. Bradlow   +5 more
doaj   +1 more source

Characterizing Dysarthria Diversity for Automatic Speech Recognition: A Tutorial From the Clinical Perspective

Frontiers in Computer Science, 2022
Despite significant advancements in automatic speech recognition (ASR) technology, even the best performing ASR systems are inadequate for speakers with impaired speech.
Hannah P. Rowe, Sarah E. Gutz, Marc F. Maffei, Katrin Tomanek, Jordan R. Green, Jordan R. Green   +5 more
doaj   +1 more source

Surgical Conflicts of Interest: Are They a Problem?

ANZ Journal of Surgery, EarlyView.
ABSTRACT Background Surgeons undertake diverse roles in clinical practice, administration, education, research and innovation. These responsibilities can give rise to conflicts of interest when personal, financial, or professional interests intersect with the fundamental obligations to patient care, research integrity, and ethical conduct.
Anthony Vo, Henry Woo, Guy J. Maddern
wiley   +1 more source

Adaptation and Optimization of Automatic Speech Recognition (ASR) for the Maritime Domain in the Field of VHF Communication

CoRR, 2023
This paper introduces a multilingual automatic speech recognizer (ASR) for maritime radio communi-cation that automatically converts received VHF radio signals into text. The challenges of maritime radio communication are described at first, and the deep learning architecture of marFM consisting of audio processing techniques and machine learning ...
Emin Cagatay Nakilcioglu, Maximilian Reimann, Ole John   +2 more
openaire   +2 more sources

Acoustic and linguistic effects in synthesized speech augmentation for speech recognition

ETRI Journal
Recently, numerous studies have been conducted to incorporate the knowledge of massive text corpora into speech recognition via text to speech (TTS). However, the distribution mismatch between synthetic and real speech has always been an issue.
Yohan Lim , Donghyun Kim , Sang Hun Kim   +2 more
doaj   +1 more source

Correcting automatically generated closed captions for online learning materials does not improve student learning outcomes (although students believe it does)

British Journal of Educational Technology, EarlyView.
Abstract Lecture capture is ubiquitous in higher education. Lecture capture recordings are typically accompanied by automatically generated closed captions that are sometimes corrected by humans. Students self‐report that they benefit from captions, and particularly human‐corrected captions.
Peter J. Allen, Polly Barr, Kristopher G. Magee, Imogen van Jaarsveldt, Andy Wakefield   +4 more
wiley   +1 more source