Results 61 to 70 of about 1,028,836 (338)

Visual Speech Recognition

, 2011
Lip reading is used to understand or interpret speech without hearing it, a technique especially mastered by people with hearing difficulties. The ability to lip read enables a person with a hearing impairment to communicate with others and to engage in social activities, which otherwise would be difficult.
openaire   +4 more sources

Loss of proton‐sensing GPR4 reduces tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
G protein‐coupled receptor 4 (GPR4) is a pH‐sensing receptor activated by acidic pH. GPR4 expression is increased in patients with inflammatory bowel disease who are at high risk of developing colorectal cancer. In mouse models, loss of GPR4 attenuated tumor progression. This correlated with increased IL2 and natural killer cell activity.
Leonie Perren, Moana Busch, Pedro A. Ruiz, Ermanno Malagola, Valeria Baumeler, Federica Foti, Adelina Gross, Tobias Grütter, Hendrik Edel, Cordelia Schuler, Kristina Handler, Glenn De Lange, Isabelle C. Arnold, Cheryl de Vallière, Klaus Seuwen, Martin Hausmann, Gerhard Rogler   +16 more
wiley   +1 more source

Speech Recognition

Journal of Applied Computer Science & Mathematics, 2009
This paper presents a method of speech recognition by pattern recognition techniques. Learning consists in determining the unique characteristics of a word (cepstral coefficients) by eliminating those characteristics that are different from one word to ...
Adrian Morariu
doaj  

Circulating tumor DNA monitoring and blood tumor mutational burden in patients with metastatic solid tumors treated with atezolizumab

Molecular Oncology, EarlyView.
In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton, Russell W. Madison, Candice Francheska B. Tambaoan, Funda Meric‐Bernstam, Christopher J. Sweeney, Razelle Kurzrock, Howard A. Burris III, David R. Spigel, Hanna Tukachinsky, Jason Hughes, Julia Malato, Bongin Yoo, Tania Szado, Cheryl Schwab, Lincoln W. Pasquina, Amaya Gasco, Katja Schulze, Claire F. Friedman   +17 more
wiley   +1 more source

A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient

Frontiers in Neurorobotics, 2022
Silent speech recognition breaks the limitations of automatic speech recognition when acoustic signals cannot be produced or captured clearly, but still has a long way to go before being ready for any real-life applications.
Jinghan Wu, Jinghan Wu, Yakun Zhang, Yakun Zhang, Liang Xie, Liang Xie, Ye Yan, Ye Yan, Ye Yan, Xu Zhang, Shuang Liu, Xingwei An, Erwei Yin, Erwei Yin, Erwei Yin, Dong Ming   +15 more
doaj   +1 more source

Towards a Knowledge Graph based Speech Interface

, 2017
Applications which use human speech as an input require a speech interface with high recognition accuracy. The words or phrases in the recognised text are annotated with a machine-understandable meaning and linked to knowledge graphs for further ...
Auer, Sören, Kumar, Ashwini Jaya, köhler, Joachim, Schmidt, Christoph   +3 more
core   +1 more source

EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines

Molecular Oncology, EarlyView.
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche, Renske Imschoot, Béatrice Lintermans, Lode Denolf, Joachim Taminau, Charlotte Fieuws, Geert Berx, Kris Gevaert, Kathleen B. M. Claes   +8 more
wiley   +1 more source

Speech Emotion Recognition Using an Enhanced Kernel Isomap for Human-Robot Interaction

International Journal of Advanced Robotic Systems, 2013
Speech emotion recognition is currently an active research subject and has attracted extensive interest in the science community due to its vital application to human-robot interaction.
Shiqing Zhang, Xiaoming Zhao, Bicheng Lei   +2 more
doaj   +1 more source

Tumor clusters with divergent inflammation and human retroelement expression determine the clinical outcome of patients with serous ovarian cancer

Molecular Oncology, EarlyView.
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner, Markus Eckstein, Christoph Mark, Matthias W. Beckmann, Arndt Hartmann, Pamela L. Strissel, Reiner Strick   +6 more
wiley   +1 more source

Konuşma Tanıma için İnsan-makine Karşılaştırması

Dilbilim Araştırmaları Dergisi, 2008
Speech/voice recognition by machines has been a topic of interest since 1950s. Research that initially adopted dynamic programming methodologies now mostly uses the hidden Markov model as the method for speech recognition ...
Ayşe Gürel, Levent M. Arslan
doaj