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Steven Eugenius Marijnus Ros, Koen Gerardus Zuurbier
Pág. 1 - 20
Aquifer storage and recovery (ASR) of local, freshwater surpluses is a potential solution for freshwater supply in coastal areas, as is brackish water reverse osmosis (BWRO) of relatively shallow groundwater in combination with deeper membrane concentrat...
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Steven Eugenius Marijnus Ros and Koen Gerardus Zuurbier
Aquifer storage and recovery (ASR) of local, freshwater surpluses is a potential solution for freshwater supply in coastal areas, as is brackish water reverse osmosis (BWRO) of relatively shallow groundwater in combination with deeper membrane concentrat...
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Esperanza Menéndez, Miguel Ángel Sanjuán, Ricardo García-Roves, Cristina Argiz and Hairon Recino
In this paper, the idea of the sustainability of durable solutions is very much present. The effect of four pozzolanic materials employed in four percentages in mortars made with two different reactive aggregates is assessed regarding alkali-silica react...
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Somi Jung, Than Van Chau, Minju Kim and Won-Bae Na
Macroalgae are invaluable constituents of marine forest environments and important sources of material for human needs. However, they are currently at risk of severe decline due to global warming and negative anthropogenic factors. Restoration efforts fo...
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Jeih-weih Hung, Jung-Shan Lin and Po-Jen Wu
In recent decades, researchers have been focused on developing noise-robust methods in order to compensate for noise effects in automatic speech recognition (ASR) systems and enhance their performance. In this paper, we propose a feature-based noise-robu...
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Shih-An Li, Yu-Ying Liu, Yun-Chien Chen, Hsuan-Ming Feng, Pi-Kang Shen and Yu-Che Wu
This paper designed a voice interactive robot system that can conveniently execute assigned service tasks in real-life scenarios. It is equipped without a microphone where users can control the robot with spoken commands; the voice commands are then reco...
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Amira Dhouib, Achraf Othman, Oussama El Ghoul, Mohamed Koutheair Khribi and Aisha Al Sinani
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognition, has been an active field of research recently. This study aims to chart this field by performing a Systematic Literature Review (SLR) to give insight i...
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Ana Mafalda Matos
Nowadays, in Europe, several infrastructures, such as bridges, viaducts, and maritime structures, are in an advanced state of degradation. Therefore, novel repair/rehabilitation techniques are sought. Recent advances in ultra-high-performance fibre-reinf...
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Zuhragvl Aysa, Mijit Ablimit, Hankiz Yilahun and Askar Hamdulla
In multi-lingual, multi-speaker environments (e.g., international conference scenarios), speech, language, and background sounds can overlap. In real-world scenarios, source separation techniques are needed to separate target sounds. Downstream tasks, su...
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Mohamed Tamazin, Ahmed Gouda and Mohamed Khedr
Many new consumer applications are based on the use of automatic speech recognition (ASR) systems, such as voice command interfaces, speech-to-text applications, and data entry processes. Although ASR systems have remarkably improved in recent decades, t...
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Li-Chia Chang and Jeih-Weih Hung
This study proposes a novel robust speech feature extraction technique to improve speech recognition performance in noisy environments. This novel method exploits the information provided by the original acoustic model in the automatic speech recognition...
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Dongyue Guo, Zichen Zhang, Peng Fan, Jianwei Zhang and Bo Yang
Recognizing isolated digits of the flight callsign is an important and challenging task for automatic speech recognition (ASR) in air traffic control (ATC). Fortunately, the flight callsign is a kind of prior ATC knowledge and is available from dynamic c...
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Laurynas Pipiras, Rytis Maskeliunas and Robertas Dama?evicius
Automatic speech recognition (ASR) has been one of the biggest and hardest challenges in the field. A large majority of research in this area focuses on widely spoken languages such as English. The problems of automatic Lithuanian speech recognition have...
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Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-...
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Juan Zuluaga-Gomez, Amrutha Prasad, Iuliia Nigmatulina, Petr Motlicek and Matthias Kleinert
In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI)-based tools. The virtual simulation-pilot engine receives spoke...
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Driss Khalil, Amrutha Prasad, Petr Motlicek, Juan Zuluaga-Gomez, Iuliia Nigmatulina, Srikanth Madikeri and Christof Schuepbach
In air traffic management (ATM), voice communications are critical for ensuring the safe and efficient operation of aircraft. The pertinent voice communications?air traffic controller (ATCo) and pilot?are usually transmitted in a single channel, which po...
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Md Asif Rahman and Yang Lu
The assessment of concrete infrastructures? functionality during natural hazards is fundamental in evaluating their performance and emergency response. In this work, the alkali?silica reaction (ASR) in concrete is evaluated under the climate change impac...
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Xing Wu, Yifan Jin, Jianjia Wang, Quan Qian and Yike Guo
Large-scale automatic speech recognition model has achieved impressive performance. However, huge computational resources and massive amount of data are required to train an ASR model. Knowledge distillation is a prevalent model compression method which ...
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Shizhao Zhang and Shengchun Piao
In order to analyze the frequency periodicity characteristics of acoustic field interference and realize acoustic source ranging (ASR), the normal mode model is used to analyze the interference characteristics of the broadband acoustic field under the co...
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Shinnosuke Isobe, Satoshi Tamura, Satoru Hayamizu, Yuuto Gotoh and Masaki Nose
Recently, automatic speech recognition (ASR) and visual speech recognition (VSR) have been widely researched owing to the development in deep learning. Most VSR research works focus only on frontal face images. However, assuming real scenes, it is obviou...
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