Results 91 to 100 of about 15,605 (256)
Deep Learning for Emotional Speech Recognition [PDF]
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 +4 more
openaire +1 more source
Frailty definitions in Chinese‐language biomedical literature increasingly align with international frameworks, while retaining conceptual diversity, underscoring the need for multidimensional, cross‐cultural research and integration with traditional Chinese medicine for culturally sensitive clinical practice.
Haodong Wei +5 more
wiley +1 more source
Multi-Stage Recognition of Speech Emotion Using Sequential Forward Feature Selection
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 +1 more
doaj +1 more source
ABSTRACT The Cordillera Administrative Region in the Philippines is home to terraced rice embedded in centuries of cultural heritage. However, weak market incentives threaten sustained production, jeopardizing indigenous communities' cultural heritage and the in situ biodiversity of rice genetic resources.
Kofi Britwum, Matty Demont
wiley +1 more source
Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source
Emotion Recognition from Speech: A Survey
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 +3 more
openaire +1 more source
Farmers’ Protests in Germany: Media Coverage and Types of Bias
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley +1 more source
A combined cepstral distance method for emotional speech recognition
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 +3 more
doaj +1 more source
Vision‐Based Handover and Organization of Robotic Scrub Nurse for Seamless Surgical Flow
This study presents a pose estimation‐based robotic scrub nurse (PERSN) that assists surgical procedures by estimating the surgeon's hand position, orientation, and grasping state, along with the constraint‐based 6D pose of surgical instruments. User evaluations show that PERSN provides greater immediate usability and reduces physical demand compared ...
Seongjoon Kang +9 more
wiley +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source

