Results 151 to 160 of about 4,974,855 (283)

Giving HOPE and minimising trauma: An intervention to support women who are separated from their babies at birth due to safeguarding concerns

open access: yesChild Abuse Review, Volume 32, Issue 1, January/February 2023., 2023
Abstract Whatever the circumstances, the separation of infants from their mothers at birth is a traumatic experience for all concerned. The paper reports on a study designed to improve practice in this highly sensitive area. An analysis of data collected through semi‐structured interviews with 38 mothers who had experienced removal at birth identified ...
Claire Mason   +2 more
wiley   +1 more source

Learning Source Disentanglement in Neural Audio Codec [PDF]

open access: yesarXiv
Neural audio codecs have significantly advanced audio compression by efficiently converting continuous audio signals into discrete tokens. These codecs preserve high-quality sound and enable sophisticated sound generation through generative models trained on these tokens.
arxiv  

Database of domestic sounds for evaluating audio signals.

open access: bronze, 1999
Kenji Kurakata   +3 more
openalex   +2 more sources

Deep Learning for Lossless Audio Compression

open access: yesJournal of Engineering
Audio and speech compression techniques are used to reduce the storage of these data in the required space and the transmission rate of these data in the communication and network systems.
Ali A. Obaid, Hasan M. Kadhim
doaj   +1 more source

Medical students' initial experiences of the dissection room and interaction with body donors: A qualitative study of professional identity formation, educational benefits, and the experience of Pasifika students

open access: yesAnatomical Sciences Education, EarlyView.
Abstract The first experience of medical students in the dissecting room (DR) likely influences professional identity formation (PIF). Sparse data exist exploring how exposure to the DR and body donors without undertaking dissection influences PIF, or how culture may influence this experience.
Jacob Madgwick   +2 more
wiley   +1 more source

DSCLAP: Domain-Specific Contrastive Language-Audio Pre-Training [PDF]

open access: yesarXiv
Analyzing real-world multimodal signals is an essential and challenging task for intelligent voice assistants (IVAs). Mainstream approaches have achieved remarkable performance on various downstream tasks of IVAs with pre-trained audio models and text models. However, these models are pre-trained independently and usually on tasks different from target
arxiv  

“Lives and times”: The case for qualitative longitudinal research in anatomical sciences education

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Qualitative longitudinal research (QLR) focuses on changes in perceptions, interpretations, or practices through time. Despite longstanding traditions in social science, QLR has only recently appeared in anatomical sciences education (ASE).
Charlotte E. Rees, Ella Ottrey
wiley   +1 more source

Towards Privacy-Preserving Audio Classification Systems [PDF]

open access: yesarXiv
Audio signals can reveal intimate details about a person's life, including their conversations, health status, emotions, location, and personal preferences. Unauthorized access or misuse of this information can have profound personal and social implications.
arxiv  

Home - About - Disclaimer - Privacy