Results 1 to 10 of about 227,711 (241)
Speech Recognition with no speech or with noisy speech [PDF]
arXiv, 2019 The performance of automatic speech recognition systems(ASR) degrades in the presence of noisy speech. This paper demonstrates that using electroencephalography (EEG) can help automatic speech recognition systems overcome performance loss in the presence of noise.
Gautam Krishna +3 more
arxiv +5 more sources
Speech Recognition with Augmented Synthesized Speech [PDF]
arXiv, 2019 Recent success of the Tacotron speech synthesis architecture and its variants in producing natural sounding multi-speaker synthesized speech has raised the exciting possibility of replacing expensive, manually transcribed, domain-specific, human speech that is used to train speech recognizers.
Zelin Wu +6 more
arxiv +5 more sources
THE RECOGNITION OF SPEECH BY MACHINE [PDF]
, 1961 "May 1, 1961." "Based on a thesis submitted to the Department of Electrical Engineering, M. I. T. ... 1959, in partial fulfillment of the requirements for the degree of Doctor of Science." "May 1, 1961."
George W. Hughes
openalex +4 more sources
Speech separation for speech recognition [PDF]
Le Journal de Physique IV, 1994 No abstract ...
De CheveignÉ, A. +3 more
openaire +3 more sources
Band importance for speech-in-speech recognition [PDF]
JASA Express Letters, 2021 Predicting masked speech perception typically relies on estimates of the spectral distribution of cues supporting recognition. Current methods for estimating band importance for speech-in-noise use filtered stimuli. These methods are not appropriate for speech-in-speech because filtering can modify stimulus features affecting auditory stream ...
Adam K. Bosen, Emily Buss
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, 2021 AbstractSpeech recognition can be formulated as the problem of guessing a sequence of words that produces a sequence of sounds. The human brain is remarkably good at solving this problem, even though the same words correspond to many different sounds, because of accents or characteristics of the voice. Moreover, the environment is always noisy, to that
openaire +4 more sources
Semi‐supervised classification of fundus images combined with CNN and GCN
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan +8 more
wiley +1 more source
Uniqueness of radiomic features in non‐small cell lung cancer
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Background Ultrasonography (US) and 99mTechnetium‐sestamibi scintigraphy (99mTc‐MIBI) are currently first‐line imaging modalities to localize parathyroid adenomas with sensitivities of 80% and 84%, respectively. Therefore, finding other modalities to further improve the diagnostic accuracy for preoperative localization is critically needed ...
Fangyi Liu +7 more
wiley +1 more source
WIREs Cognitive Science, 2012 AbstractClassic research on the perception of speech sought to identify minimal acoustic correlates of each consonant and vowel. In explaining perception, this view designated momentary components of an acoustic spectrum as cues to the recognition of elementary phonemes.
Robert E. Remez, Emily F. Thomas
openaire +4 more sources