Results 251 to 260 of about 263,095 (308)

How Do Nasopharyngoscopy Ratings of Sustained Speech Differ From Connected Speech? [PDF]

Cleft Palate Craniofac J
Snodgrass TD, Chee-Williams JL, Sitzman TJ, Fang X, Perry JL.   +4 more
europepmc   +1 more source

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

Advanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen, Shi‐Qian Guo, Yu‐Chuan Chiu, Po‐Tsun Liu   +3 more
wiley   +1 more source

Does the Use of Crowdsourced Listeners Yield Different Speech Intelligibility Results Than In-Person Listeners for Typically Developing Children? [PDF]

J Speech Lang Hear Res
Salvo HD, Mahr TJ, Sandgren C, Mabie H, Hustad KC.   +4 more
europepmc   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Beyond Prevalence: Understanding the Relationship Between Early Anatomic Factors and the Likelihood for Cleft Speech Characteristics. [PDF]

Int J Lang Commun Disord
Mason K, Kotlarek K, Davies A, Wren Y.
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

The Effects of Electromagnetic Articulography Sensors on Speech in Individuals With and Without Parkinson's Disease. [PDF]

J Speech Lang Hear Res
Thompson A, Hirsch M, Kim Y.
europepmc   +1 more source

Prosodic Imitation in Children With Down Syndrome: Evidence From Sentence Repetition and Pitch Contour Modeling. [PDF]

Am J Speech Lang Pathol
Deng D, Lense M, Camarata S, Mazzone J, Lacitignola D, Lai W, Watson D.   +6 more
europepmc   +1 more source

Reliability of Lexical Stress Transcription in Childhood Apraxia of Speech. [PDF]

Am J Speech Lang Pathol
Schultheiss M, Herbst B, Preston JL.
europepmc   +1 more source