Speech in various noise backgrounds was processed through four different non-linear devices and the intelligibility of the processed signals was predicted from the Speech Transmission Index (STI). A novel calculation method was applied in order to avoid artifacts. Running speech was used as input signal and STI was calculated from the envelopes of the squared, noise-free speech signal and of the processed, squared, noisy signal in 23 critical bands. In situations with linearly processed speech and a stationary background noise, this calculation method gives results identical with the procedure described by Steeneken & Houtgast (6). However, in a number of situations with non-linearly processed speech, or a time varying background noise level, the calculation method used here is preferable. The predictions were evaluated in a psycho-acoustic listening test and the predictions agreed well with the listening test results.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/00016489.1990.12088428 | DOI Listing |
Sensors (Basel)
December 2024
Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
This systematic review examines EEG-based imagined speech classification, emphasizing directional words essential for development in the brain-computer interface (BCI). This study employed a structured methodology to analyze approaches using public datasets, ensuring systematic evaluation and validation of results. This review highlights the feature extraction techniques that are pivotal to classification performance.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Maxillofacial Surgery, University of Siena, 53100 Siena, Italy.
: Currently, there is a lack of a comprehensive classification system for soft-palate defects that provides synthetic information to guide functional reconstructive treatment. Our awareness, shaped by extensive experience, of the superiority of myomucosal flaps to fasciocutaneous flaps in functional palate reconstruction has driven us to introduce a new defect-based classification system and propose a new algorithm for reconstructing soft-palate defects using buccinator myomucosal flaps. : Soft-palate defects were classified into five classes.
View Article and Find Full Text PDFBioengineering (Basel)
November 2024
College of Engineering, Design and Physical Sciences, Brunel University London, London UB8 3PH, UK.
Attention is one of many human cognitive functions that are essential in everyday life. Given our limited processing capacity, attention helps us focus only on what matters. Focusing attention on one speaker in an environment with many speakers is a critical ability of the human auditory system.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Human Resources Development Unit, Faculty of Psychology, Speech Therapy and Education Sciences, University of Liège, 4000 Liège, Belgium.
Burnout, a major concern defined most commonly in the literature with a symptoms-based classification, can also be described as a temporal process with various stages experienced by workers, each composed of unique characteristics and challenges. This intricate process of burnout emphasizes pivotal moments, such as engagement and enthusiasm with a high job ideal (Stage 0), weakening of the ideal (Stage 1), protective withdrawal (Stage 2) and confirmed burnout (Stage 3). Through an opinion review, the objective of this article is to examine which prevention level, and more specifically which prevention actions, can be developed at each stage of this temporal process of burnout.
View Article and Find Full Text PDFBrain Sci
December 2024
School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Background: Cognitive impairment poses a significant global health challenge, emphasizing the critical need for early detection and intervention. Traditional diagnostics like neuroimaging and clinical evaluations are often subjective, costly, and inaccessible, especially in resource-poor settings. Previous research has focused on speech analysis primarily conducted using English data, leaving multilingual settings unexplored.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!