Results 41 to 50 of about 2,146 (182)

WaveNet With Cross-Attention for Audiovisual Speech Recognition

IEEE Access, 2020
In this paper, the WaveNet with cross-attention is proposed for Audio-Visual Automatic Speech Recognition (AV-ASR) to address multimodal feature fusion and frame alignment problems between two data streams.
Hui Wang, Fei Gao, Yue Zhao, Licheng Wu
doaj   +1 more source

Technology Matters: Ambient voice technology in mental health and neurodevelopmental settings – considerations for responsible implementation and evidence gaps

Child and Adolescent Mental Health, EarlyView.
Documentation comprises a large proportion of Child and Adolescent Mental Health Service (CAMHS) clinicians/practitioners' work burden and is often completed outside contracted working hours, either requiring overtime pay and/or contributing to burnout.
Judith Dineley, Noah Stanton, Aadam Aziz, Matteo Catanzano, Hissah Al Abdulsalam, Huajie Jin, Nicholas Cummins, Salim Jakhra, Solomon Wong, Johnny Downs   +9 more
wiley   +1 more source

ASR-Dictation Accuracy for Second Language Speech: Programs, Tasks, and Language Backgrounds

Human Behavior and Emerging Technologies
Over the last 20 years, automatic speech recognition (ASR) has improved substantially and spread into people’s everyday lives through hands-free texting and intelligent personal assistants.
Shannon McCrocklin, Idée Edalatishams, Abdulsamad Humaidan   +2 more
doaj   +1 more source

UrbanClipAtlas: A Visual Analytics Framework for Event and Scene Retrieval in Urban Videos

Computer Graphics Forum, EarlyView.
Abstract Extracting actionable insights from long‐duration urban videos is often labor‐intensive: analysts must manually sift through raw footage to pinpoint target events or uncover broader behavioral trends. In this work, we present UrbanClipAtlas, a visual analytics system for exploring long urban videos recorded at street intersections ...
Joel Perca, Luis Sante, Juanpablo Heredia, Joao Rulff, Claudio Silva, Jorge Poco   +5 more
wiley   +1 more source

Arabic Automatic Speech Recognition: A Systematic Literature Review

Applied Sciences, 2022
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognition, has been an active field of research recently. This study aims to chart this field by performing a Systematic Literature Review (SLR) to give insight ...
Amira Dhouib, Achraf Othman, Oussama El Ghoul, Mohamed Koutheair Khribi, Aisha Al Sinani   +4 more
doaj   +1 more source

SiGnature: Explicit Motion Diffusion for Stylized Semantic Gesture Generation

Computer Graphics Forum, EarlyView.
Abstract While recent advances in co‐speech gesture generation have achieved impressive rhythmic synchronization, synthesizing gestures that are both semantically meaningful and faithful to a speaker's unique non‐verbal style remains an open challenge.
Adi Rosenthal, Tomer Koren, Nadav Shaked, Doron Friedman, Ariel Shamir   +4 more
wiley   +1 more source

Using Open-Source Automatic Speech Recognition Tools for the Annotation of Dutch Infant-Directed Speech

Multimodal Technologies and Interaction, 2023
There is a large interest in the annotation of speech addressed to infants. Infant-directed speech (IDS) has acoustic properties that might pose a challenge to automatic speech recognition (ASR) tools developed for adult-directed speech (ADS).
Anika van der Klis, Frans Adriaans, Mengru Han, René Kager   +3 more
doaj   +1 more source

FaceMamba: Geometry‐Aware Mamba for Efficient Speech‐Driven 3D Facial Animation

Computer Graphics Forum, EarlyView.
Abstract Speech‐driven 3D facial animation plays a pivotal role in immersive digital human applications. Recent works have explored Mamba‐based sequence modeling as an efficient alternative to Transformer, but they often suffer from limited cross‐modal alignment and insufficient control over fine‐grained facial deformations.
Yifan Ge, Zhiqiang Ren, Yazhan Zhang, Haofei Wang, Yawen Zhang, Shengli Zhang   +5 more
wiley   +1 more source

Unrealistic Feedback in Socially Prescriptive Speech Technologies

International Journal of Applied Linguistics, EarlyView.
ABSTRACT Socially prescriptive speech technologies (SPSTs) are technologies that claim to provide feedback to speakers about how other humans perceive their speech and communication style, based on algorithms trained on a set of static, prescriptive standards.
Nicole Holliday
wiley   +1 more source

Speech corpus for Medina dialect

Journal of King Saud University: Computer and Information Sciences
Automatic Speech Recognition (ASR) has standard rules which must be followed and considered carefully. Some difficulties that lead to less ASR performance is variations in pronunciation and small words misrecognition.
Haneen Bahjat Khalafallah, Mohamed Abdel Fattah, Ruqayya Abdulrahman   +2 more
doaj   +1 more source