Results 71 to 80 of about 239,278 (262)

Structuring Audio Data With a "C-TOC". An Example for Analysing Raw Data

Forum: Qualitative Social Research, 2005
For the first time in the history of qualitative social research, currently available technology is able to allow analysis of qualitative data without the aid of transcriptions.
Stefan Hauptmann
doaj  

Large language models for depression recognition in spoken language integrating psychological knowledge

Frontiers in Computer Science
Depression is a growing concern gaining attention in both public discourse and AI research. While deep neural networks (DNNs) have been used for its recognition, they still lack real-world effectiveness. Large language models (LLMs) show strong potential
Yupei Li, Shuaijie Shao, Manuel Milling, Manuel Milling, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller   +7 more
doaj   +1 more source

Towards fast browsing of found audio data

Digital Humanities in the Nordic and Baltic Countries Publications, 2019
Our aim is to rapidly explore prohibitively large audio collections by exploiting the insight that people are able to make fast judgments about lengthy recordings by listening to temporally disassembled audio (TDA) segments played simultaneously.
Per Fallgren, Zofia Malisz, Jens Edlund
doaj   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Prior-aligned frequency-domain explanations for heart sound classification: a scale-consistent attribution approach

Frontiers in Artificial Intelligence
ObjectiveDeep learning models for phonocardiogram (PCG) classification often achieve high accuracy but lack transparency in relation to clinically meaningful features.
Qiyang Sun, Yupei Li, Yupei Li, Aydin Javadov, Xiaoliang Wu, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller, Björn W. Schuller   +8 more
doaj   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Effective Audio Compression using Enhanced Encoding Method

Al-Iraqia Journal for Scientific Engineering Research
The rapid growth of big data and the emergence of new technologies have posed significant challenges in data compression, particularly in the domain of audio compression. Audio compression has gained widespread applications in advanced audio coding, MP3
Ammar A. Al-Hamadani, Suphian M. Tariq, Mamoun J. Mohammed   +2 more
doaj   +1 more source

The rain feels different under the same umbrella: Experiences with poverty across LGBTQ subgroups

American Journal of Community Psychology, EarlyView.
Abstract Population‐based survey data have demonstrated that LGBTQ communities report varying rates of economic insecurity, yet very little research directly assesses how pathways into and experiences with poverty look different among subgroups at the intersections of sexual orientation and gender identity (SOGI).
Bianca D. M. Wilson, Lillian Nguyen
wiley   +1 more source

The psychosocial toll of Dublin III on asylum seekers in the Netherlands

American Journal of Community Psychology, EarlyView.
Abstract The Dublin III Regulation determines which EU Member State is responsible for examining asylum claims, but its implementation carries significant consequences for those subjected to it. This study examines how Dublin III, as implemented in the Netherlands, affects asylum seekers' psychosocial wellbeing using Silove′s Adaptation and Development
Imen El Amouri
wiley   +1 more source