Results 121 to 130 of about 6,722,896 (329)

Dysarthria Severity detection Using Recurrent and Convolutional Neural Networks

Al-Lisaniyyat
The diagnosis and monitoring of dysarthria, a speech disorder caused by neuro-motor problems that affect articulation, depend on a precise evaluation of its severity. When creating automated systems to identify and categorize dysarthric speech, accurate
Amina Hamza, Djamel Addou
doaj  

Using machine learning to understand neuromorphological change and image‐based biomarker identification in Cavalier King Charles Spaniels with Chiari‐like malformation‐associated pain and syringomyelia

Journal of Veterinary Internal Medicine, 2019
Background Chiari‐like malformation (CM) is a complex malformation of the skull and cranial cervical vertebrae that potentially results in pain and secondary syringomyelia (SM).
Michaela Spiteri, Susan P. Knowler, Clare Rusbridge, Kevin Wells   +3 more
doaj   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

Molecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura, Tadahiro Kuribayashi, Johannes Brägelmann, Sachi Okawa, Masataka Taoka, Shunta Mori, Tomoka Nishimura, Takaaki Tanaka, Go Makimoto, Kiichiro Ninomiya, Kammei Rai, Eiki Ichihara, Ryohei Katayama, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Martin L. Sos, Katsuyuki Kiura, Kadoaki Ohashi   +19 more
wiley   +1 more source

Combined CNN-LSTM for Enhancing Clean and Noisy Speech Recognition

Al-Lisaniyyat
This paper presents a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) approach for Automatic Speech Recognition (ASR) using deep learning techniques on the Aurora-2 dataset. The dataset includes both clean and multi-condition modes,
Noussaiba Djeffal, Djamel Addou, Hamza Kheddar, Sid Ahmed Selouani   +3 more
doaj   +1 more source

Time-frequency analysis of speech signal using Chirplet transform for automatic diagnosis of Parkinson's disease. [PDF]

Biomed Eng Lett, 2023
Warule P, Mishra SP, Deb S.
europepmc   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Hartley transform and the use of the Whitened Hartley spectrum as a tool for phase spectral processing

The Journal of Engineering, 2015
The Hartley transform is a mathematical transformation which is closely related to the better known Fourier transform. The properties that differentiate the Hartley Transform from its Fourier counterpart are that the forward and the inverse transforms ...
Ioannis Paraskevas, Maria Barbarosou, Edward Chilton   +2 more
doaj   +1 more source

Machine learning approach for detecting Covid-19 from speech signal using Mel frequency magnitude coefficient. [PDF]

Signal Image Video Process, 2023
Nayak SS, Darji AD, Shah PK.
europepmc   +1 more source

Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control

FEBS Open Bio, EarlyView.
Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada, Mina Iwaki, Kyosuke Hagiri, Rei Izumi, Masahiko Harata, Chihiro Horigome   +5 more
wiley   +1 more source

Comparing Binaural Pre-processing Strategies I

Trends in Hearing, 2015
In a collaborative research project, several monaural and binaural noise reduction algorithms have been comprehensively evaluated. In this article, eight selected noise reduction algorithms were assessed using instrumental measures, with a focus on the ...
Regina M. Baumgärtel, Martin Krawczyk-Becker, Daniel Marquardt, Christoph Völker, Hongmei Hu, Tobias Herzke, Graham Coleman, Kamil Adiloğlu, Stephan M. A. Ernst, Timo Gerkmann, Simon Doclo, Birger Kollmeier, Volker Hohmann, Mathias Dietz   +13 more
doaj   +1 more source