Search Results - "Deep Denoising Autoencoder"

Whispered speech recognition using deep denoising autoencoder by Grozdić, Đorđe T., Jovičić, Slobodan T., Subotić, Miško

“…Recently Deep Denoising Autoencoders (DDAE) have shown state-of-the-art performance on various machine learning tasks…”
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A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation by Lai, Ying-Hui, Chen, Fei, Wang, Syu-Siang, Lu, Xugang, Tsao, Yu, Lee, Chin-Hui

“… Identifying an effective NR approach has long been a key topic in CI research. Method: Recently, a deep denoising autoencoder (DDAE…”
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Bone-conducted speech enhancement using deep denoising autoencoder by Liu, Hung-Ping, Tsao, Yu, Fuh, Chiou-Shann

“…Bone-conduction microphones (BCMs) capture speech signals based on the vibrations of the speaker's skull and exhibit better noise-resistance capabilities than…”
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A Pythagorean-Type Fuzzy Deep Denoising Autoencoder for Industrial Accident Early Warning by Zheng, Yu-Jun, Chen, Sheng-Yong, Xue, Yu, Xue, Jin-Yun

“… This paper presents a fuzzy deep neural network for early warning of industrial accidents, which equips the classical deep denoising autoencoder (DDAE…”
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Deep denoising autoencoder-assisted continuous scoring of peak quality in high-resolution LC−MS data by Ji, Hongchao, Tian, Jing

“…Accurate peak picking is a challenging but fundamental problem in LC-MS-based omics analysis. Previous efforts mainly focused on continuous wavelet transform…”
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Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder by Kim, Seong-Mok, Soo Kim, Yong

“… This study proposes a method that uses a deep denoising autoencoder to filter out various levels of industrial noise from audio data and employs unsupervised learning models for rapid and accurate anomaly detection…”
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Dynamic dispatching system using a deep denoising autoencoder for semiconductor manufacturing by Lee, Sangmin, Kim, Hae Joong, Kim, Seoung Bum

“…Deep denoising autoencoders (DDAE), which are variants of the autoencoder, have shown outstanding performance in various machine learning tasks…”
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Whispered Speech Recognition Using Deep Denoising Autoencoder and Inverse Filtering by Grozdic, Dorde T., Jovicic, Slobodan T.

“…, addresses the problems of whispered speech recognition in mismatched conditions, and then proposes a new robust cepstral features and preprocessing approach based on deep denoising autoencoder (DDAE…”
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Random noise attenuation of ocean bottom seismometers based on a substep deep denoising autoencoder by Lin, Haoran, Xu, Jian, Xing, Lei, Li, Qianqian, Liu, Huaishan

“…Ocean bottom seismometer data usually contain a large amount of random noise, which seriously reduces the signal‐to‐noise ratio of the data and affects…”
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DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection by Zhao, Xigang, Liu, Peng, Mahmoudi, Saïd, Garg, Sahil, Kaddoum, Georges, Hassan, Mohammad Mehedi

“…In recent years, the proliferation of IoT technologies and the widespread adoption of wireless sensors across various critical infrastructures such as power…”
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Stealthy data integrity attack identification in smart grid networks utilizing deep denoising autoencoder by Kousar, Anila, Ahmed, Saeed, Altamimi, Abdullah, Kim, Su Min, Khan, Zafar A.

“… To this end, this paper proposes a deep denoising autoencoder (DAE)-based framework for dimensionality…”
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Environmental Noise Reduction based on Deep Denoising Autoencoder by Azmat, A., Ali, I., Ariyanti, W., Putra, M. G. L., Nadeem, T.

“… To cope with this challenge, an explicit denoising framework called Deep Denoising Autoencoder (DDAE…”
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Speech Enhancement for Hearing Impaired Based on Bandpass Filters and a Compound Deep Denoising Autoencoder by AL-Taai, Raghad Yaseen Lazim, Wu, Xiaojun

“…) multiple deep denoising autoencoder networks, with each working for a small specific enhancement task and learning to handle a subset of the whole…”
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Evaluation Algorithm of Teaching Work Quality in Colleges and Universities Based on Deep Denoising Autoencoder Network by Liu, Yu

“… A novel combination of deep denoising autoencoder and support vector machine was proposed…”
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Two-stage noise aware training using asymmetric deep denoising autoencoder by Lee, Kang Hyun, Kang, Shin Jae, Kang, Woo Hyun, Kim, Nam Soo

“…Ever since the deep neural network (DNN)-based acoustic model appeared, the recognition performance of automatic speech recognition has been greatly improved…”
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Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning by Kang, Gaoqiang, Gao, Shibin, Yu, Long, Zhang, Dongkai

“…The insulator is an important catenary component that maintains the insulation between the catenary and earth. Due to the long-term impact of railway vehicles…”
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A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation by Fei Chen, Yu Tsao, Ying-Hui Lai, Syu-Siang Wang, Xugang Lu, Chin-Hui Lee

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An online learning framework for aero-engine sensor fault detection isolation and recovery by Wang, Kun, He, Ai, Liu, Jiashuai, Zhou, Qifan, Hu, Zhongzhi

“… The framework utilizes a Deep Denoising Autoencoder (DDAE) for fault detection, a multi-model strategy for fault isolation, and a dual-task learning framework for fault signal recovery, ensuring system integrity and continuous operation…”
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A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection by Scarpiniti, Michele, Sarv Ahrabi, Sima, Baccarelli, Enzo, Piazzo, Lorenzo, Momenzadeh, Alireza

“…Chest imaging can represent a powerful tool for detecting the Coronavirus disease 2019 (COVID-19). Among the available technologies, the chest Computed…”
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An evolutionary deep neural network for predicting morbidity of gastrointestinal infections by food contamination by Song, Qin, Zheng, Yu-Jun, Xue, Yu, Sheng, Wei-Guo, Zhao, Mei-Rong

“… is highly complex and probabilistic. In this study, we use the deep denoising autoencoder (DDAE…”
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