Results 91 to 100 of about 15,656 (256)

Deep Learning for Emotional Speech Recognition [PDF]

, 2014
Emotional speech recognition is a multidisciplinary research area that has received increasing attention over the last few years. The present paper considers the application of restricted Boltzmann machines (RBM) and deep belief networks (DBN) to the difficult task of automatic Spanish emotional speech recognition.
Máximo Sánchez-Gutiérrez, E. Marcelo Albornoz, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard   +4 more
openaire   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Multi-Task Learning-Based Speech Emotion Recognition Using Pre-Trained Acoustic Model

Applied Sciences
Accurate recognition of human emotions is crucial for human–computer interaction, and speech, as an important external manifestation of emotion, has attracted significant attention.
Xiaoyu Wang, Kai Yao, Ying Yi
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Multi-Stage Recognition of Speech Emotion Using Sequential Forward Feature Selection

Electrical, Control and Communication Engineering, 2016
The intensive research of speech emotion recognition introduced a huge collection of speech emotion features. Large feature sets complicate the speech emotion recognition task.
Liogienė Tatjana, Tamulevičius Gintautas   +1 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Emotion Recognition from Speech: A Survey

Proceedings of the 15th International Conference on Web Information Systems and Technologies, 2019
Emotion recognition from speech signals is an important field in its own right as well as a mainstay of many multimodal sentiment analysis systems. The latter may as well include a broad spectrum of modalities which are strongly associated with consciously or subconsciously communicating human emotional state such as visual cues, gestures, body ...
Georgios Drakopoulos, George Pikramenos, Evangelos D. Spyrou, Stavros J. Perantonis   +3 more
openaire   +1 more source

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

A combined cepstral distance method for emotional speech recognition

International Journal of Advanced Robotic Systems, 2017
Affective computing is not only the direction of reform in artificial intelligence but also exemplification of the advanced intelligent machines. Emotion is the biggest difference between human and machine.
Changqin Quan, Bin Zhang, Xiao Sun, Fuji Ren   +3 more
doaj   +1 more source