Results 81 to 90 of about 246,421 (281)

Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition

, 2016
Features for speech emotion recognition are usually dominated by the spectral magnitude information while they ignore the use of the phase spectrum because of the difficulty of properly interpreting it.
Deng, J, Fruhholz, S, Schuller, B, Xu, X, Zhang, Z   +4 more
core   +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

Robust emotional speech recognition based on binaural model and emotional auditory mask in noisy environments

EURASIP Journal on Audio, Speech, and Music Processing, 2018
The performance of automatic speech recognition systems degrades in the presence of emotional states and in adverse environments (e.g., noisy conditions).
Meysam Bashirpour, Masoud Geravanchizadeh   +1 more
doaj   +1 more source

Voice emotion recognition by Mandarin‐speaking pediatric cochlear implant users in Taiwan

Laryngoscope Investigative Otolaryngology, 2022
Objectives To explore the effects of obligatory lexical tone learning on speech emotion recognition and the cross‐culture differences between United States and Taiwan for speech emotion understanding in children with cochlear implant. Methods This cohort
Yung‐Song Lin, Che‐Ming Wu, Charles J. Limb, Hui‐Ping Lu, I. Jung Feng, Shu‐Chen Peng, Mickael L. D. Deroche, Monita Chatterjee   +7 more
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

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

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi, Naseeh Backer Kannanthodi, Alice Nicole Casling, Babar Ali, Samira Lakouraj Mansouri, Alessandro Giuseppe D'aloia, Hossein Cheraghi Bidsorkhi, Maria Sabrina Sarto   +7 more
wiley   +1 more source

Feature extraction of speech signal and heartbeat detection in angry emotion identification [PDF]

, 2013
Angry is one of emotions that play an essential role in decision making, perception, learning and more. This paper detects the angry emotion by analyzing and recognizing angry speech signal as well as detecting the heartbeat condition.
Ahmad, Ida Laila, Lee, Chee Chuan, Mohamed, Masnani   +2 more
core  

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

In-depth investigation of speech emotion recognition studies from past to present –The importance of emotion recognition from speech signal for AI–

Intelligent Systems with Applications
In the super smart society (Society 5.0), new and rapid methods are needed for speech recognition, emotion recognition, and speech emotion recognition areas to maximize human-machine or human-computer interaction and collaboration. Speech signal contains
Yeşim ÜLGEN SÖNMEZ, Asaf VAROL
doaj   +1 more source