Results 41 to 50 of about 1,061,228 (335)

A hidden Markov optimization model for processing and recognition of English speech feature signals

Journal of Intelligent Systems, 2022
Speech recognition plays an important role in human–computer interaction. The higher the accuracy and efficiency of speech recognition are, the larger the improvement of human–computer interaction performance.
Chen Yinchun
doaj   +1 more source

Phoneme recognition with statistical modeling of the prediction error of neural networks [PDF]

, 1998
This paper presents a speech recognition system which incorporates predictive neural networks. The neural networks are used to predict observation vectors of speech.
Freitag, Fèlix, Monte Moreno, Enrique
core  

Protein kinase FAM20C—when subcellular localization matters

FEBS Letters, EarlyView.
FAM20C is a Golgi‐resident kinase that phosphorylates proteins along the entire secretory pathway. The presence of potential FAM20C substrates in the cytoplasm or nucleus raises the question of how the kinase and its substrates encounter each other. Protein kinases achieve signaling specificity through consensus sequence recognition and subcellular ...
Francesca Noventa, Mauro Salvi
wiley   +1 more source

Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech

Communications Medicine
Background Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information.
Soroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Tobias Weise, Kai Packhäuser, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang   +8 more
doaj   +1 more source

Robust emotional speech recognition based on binaural model and emotional auditory mask in noisy environments

EURASIP Journal on Audio, Speech, and Music Processing, 2018
The performance of automatic speech recognition systems degrades in the presence of emotional states and in adverse environments (e.g., noisy conditions).
Meysam Bashirpour, Masoud Geravanchizadeh   +1 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

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

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

Speech Emotion Recognition Based on Voice Rhythm Differences [PDF]

Jisuanji kexue
Speech emotion recognition has an important application prospect in financial anti-fraud and other fields,but it is increasingly difficult to improve the accuracy of speech emotion recognition.The existing methods of speech emotion recognition based on ...
ZHANG Jiahao, ZHANG Zhaohui, YAN Qi, WANG Pengwei
doaj   +1 more source

Language Modeling with Highway LSTM

, 2017
Language models (LMs) based on Long Short Term Memory (LSTM) have shown good gains in many automatic speech recognition tasks. In this paper, we extend an LSTM by adding highway networks inside an LSTM and use the resulting Highway LSTM (HW-LSTM) model ...
Kurata, Gakuto, Ramabhadran, Bhuvana, Saon, George, Sethy, Abhinav   +3 more
core   +1 more source