Results 61 to 70 of about 275,421 (290)

End-to-End Neural Systems for Automatic Children Speech Recognition: An Empirical Study [PDF]

arXiv, 2021
A key desiderata for inclusive and accessible speech recognition technology is ensuring its robust performance to children's speech. Notably, this includes the rapidly advancing neural network based end-to-end speech recognition systems. Children speech recognition is more challenging due to the larger intra-inter speaker variability in terms of ...
arxiv  

Enhancing patient engagement in cancer research: a focus on patient‐centric approaches to scientific discovery

Molecular Oncology, EarlyView.
Patient engagement involves actively including patients in healthcare decisions and research to ensure care and studies align with their needs. This approach improves outcomes, trust, and communication while fostering collaboration between patients and professionals.
Estela Cepeda, Marina Reguero, Vanesa Abón, Marta Puyol   +3 more
wiley   +1 more source

Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representations [PDF]

arXiv, 2022
Children's speech recognition is a vital, yet largely overlooked domain when building inclusive speech technologies. The major challenge impeding progress in this domain is the lack of adequate child speech corpora; however, recent advances in self-supervised learning have created a new opportunity for overcoming this problem of data scarcity.
arxiv  

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Speech Enhancement Modeling Towards Robust Speech Recognition System [PDF]

arXiv, 2013
Form about four decades human beings have been dreaming of an intelligent machine which can master the natural speech. In its simplest form, this machine should consist of two subsystems, namely automatic speech recognition (ASR) and speech understanding (SU).
arxiv  

Contextual variability during speech-in-speech recognition [PDF]

The Journal of the Acoustical Society of America, 2014
This study examined the influence of background language variation on speech recognition. English listeners performed an English sentence recognition task in either “pure” background conditions in which all trials had either English or Dutch background babble or in mixed background conditions in which the background language varied across trials (i.e.,
Brouwer, S., Bradlow, A.
openaire   +4 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 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  

Signal Recognition for English Speech Translation Based on Improved Wavelet Denoising Method

Advances in Mathematical Physics, 2021
The signal corresponding to English speech contains a lot of redundant information and environmental interference information, which will produce a lot of distortion in the process of English speech translation signal recognition.
Zhuo Chen
doaj   +1 more source

Evaluating Speech Synthesis by Training Recognizers on Synthetic Speech [PDF]

arXiv, 2023
Modern speech synthesis systems have improved significantly, with synthetic speech being indistinguishable from real speech. However, efficient and holistic evaluation of synthetic speech still remains a significant challenge. Human evaluation using Mean Opinion Score (MOS) is ideal, but inefficient due to high costs.
arxiv