Results 11 to 20 of about 227,711 (241)
Croatian Speech Recognition [PDF]
, 2010 In the chapter we describe procedures for Croatian speech recognition which are used in a limited domain spoken dialog system for Croatian speech. The dialog system would provide information about weather in different regions of Croatia for different time periods (Žibert et al., 2003).
Sanda Martinčić-Ipšić, Ivo Ipšić
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Learning speech rate in speech recognition [PDF]
Interspeech 2015, 2015 A significant performance reduction is often observed in speech recognition when the rate of speech (ROS) is too low or too high. Most of present approaches to addressing the ROS variation focus on the change of speech signals in dynamic properties caused by ROS, and accordingly modify the dynamic model, e.g., the transition probabilities of the hidden
Dong Wang, Shi Yin, Xiangyu Zeng
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Large Vocabulary Spontaneous Speech Recognition for Tigrigna [PDF]
arXiv, 2023 This thesis proposes and describes a research attempt at designing and developing a speaker independent spontaneous automatic speech recognition system for Tigrigna The acoustic model of the Speech Recognition System is developed using Carnegie Mellon University Automatic Speech Recognition development tool (Sphinx) while the SRIM tool is used for the ...
arxiv
Silent versus modal multi-speaker speech recognition from ultrasound and video [PDF]
arXiv, 2021 We investigate multi-speaker speech recognition from ultrasound images of the tongue and video images of the lips. We train our systems on imaging data from modal speech, and evaluate on matched test sets of two speaking modes: silent and modal speech.
arxiv
Evolutionary Speech Recognition [PDF]
, 2007 Automatic speech recognition systems are becoming ever more common and are increasingly deployed in more variable acoustic conditions, by very different speakers. So these systems, generally conceived in a laboratory, must be robust in order to provide optimal performance in real situations.
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Advancing Speech Recognition With No Speech Or With Noisy Speech [PDF]
2019 27th European Signal Processing Conference (EUSIPCO), 2019 In this paper we demonstrate end-to-end continuous speech recognition (CSR) using electroencephalography (EEG) signals with no speech signal as input. An attention model based automatic speech recognition (ASR) and connectionist temporal classification (CTC) based ASR systems were implemented for performing recognition.
Mason Carnahan +3 more
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AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition [PDF]
arXiv, 2023 Audio-visual speech contains synchronized audio and visual information that provides cross-modal supervision to learn representations for both automatic speech recognition (ASR) and visual speech recognition (VSR). We introduce continuous pseudo-labeling for audio-visual speech recognition (AV-CPL), a semi-supervised method to train an audio-visual ...
arxiv
Multiple sclerosis clinical decision support system based on projection to reference datasets
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022 Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch +13 more
wiley +1 more source
Well‐being on supportive techniques in amyotrophic lateral sclerosis: from neurologists' perspective
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1874-1883, December 2022., 2022 Abstract Objective To investigate intercultural neurologists' perception of well‐being in patients with amyotrophic lateral sclerosis (ALS) using gastrostomy (PEG), non‐invasive, and/or invasive ventilation (NIV/IV) and to analyse the determinants and impact on the management of the above medical interventions (MIs).
Krzysztof Barć +7 more
wiley +1 more source
Data Augmentation with Locally-time Reversed Speech for Automatic Speech Recognition [PDF]
arXiv, 2021 Psychoacoustic studies have shown that locally-time reversed (LTR) speech, i.e., signal samples time-reversed within a short segment, can be accurately recognised by human listeners. This study addresses the question of how well a state-of-the-art automatic speech recognition (ASR) system would perform on LTR speech.
arxiv