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Xuyi Zhang, Yang Bai, Yuan Ma, Peidong He, Yinhui Tang and Xiaoning Lv
Raman spectroscopy has been widely applied in numerous fields including bioanalysis, disease diagnosis, and molecular recognition, owing to its unique advantages of being non-invasive, rapid, and highly specific. However, the acquisition of Raman spectra...
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Arash Khajooei Nejad, Mohammad (Behdad) Jamshidi and Shahriar B. Shokouhi
This paper introduces Tensor-Organized Memory (TOM), a novel neuromorphic architecture inspired by the human brain?s structural and functional principles. Utilizing spike-timing-dependent plasticity (STDP) and Hebbian rules, TOM exhibits cognitive behavi...
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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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Jun-Hwa Kim, Namho Kim, Yong Woon Park and Chee Sun Won
SMD (Singapore Maritime Dataset) is a public dataset with annotated videos, and it is almost unique in the training of deep neural networks (DNN) for the recognition of maritime objects. However, there are noisy labels and imprecisely located bounding bo...
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Juan M. Perero-Codosero, Fernando M. Espinoza-Cuadros and Luis A. Hernández-Gómez
This paper describes a comparison between hybrid and end-to-end Automatic Speech Recognition (ASR) systems, which were evaluated on the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge. Deep Neural Networks (DNNs) are becoming the most promisi...
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