Results 31 to 40 of about 1,094,546 (323)
Unvoiced Speech Recognition Using Tissue-Conductive Acoustic Sensor
EURASIP Journal on Advances in Signal Processing, 2007 We present the use of stethoscope and silicon NAM (nonaudible murmur) microphones in automatic speech recognition. NAM microphones are special acoustic sensors, which are attached behind the talker's ear and can capture not only normal (audible) speech ...
Hiroshi Saruwatari +3 more
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Recognition of English speech – using a deep learning algorithm
Journal of Intelligent Systems, 2023 The accurate recognition of speech is beneficial to the fields of machine translation and intelligent human–computer interaction. After briefly introducing speech recognition algorithms, this study proposed to recognize speech with a recurrent neural ...
Wang Shuyan
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Spoken query processing for interactive information retrieval [PDF]
, 2002 It has long been recognised that interactivity improves the effectiveness of information retrieval systems. Speech is the most natural and interactive medium of communication and recent progress in speech recognition is making it possible to build ...
Barnett +19 more
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A computer model of auditory efferent suppression: Implications for the recognition of speech in noise [PDF]
, 2010 The neural mechanisms underlying the ability of human listeners to recognize speech in the presence of background noise are still imperfectly understood.
Brown, GJ, Ferry, RT, Meddis, R
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Critical Care, 2023 Objectives Evaluating effectiveness of speech/phrase recognition software in critically ill patients with speech impairments. Design Prospective study. Setting Tertiary hospital critical care unit in the northwest of England.
M. Musalia +13 more
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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
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 +3 more
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Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Communications MedicineBackground 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 +8 more
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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
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