Adaptation algorithms for neural network-based speech recognition: An overview
We present a structured overview of adaptation algorithms for neural network-based speech
recognition, considering both hybrid hidden Markov model/neural network systems and end …
recognition, considering both hybrid hidden Markov model/neural network systems and end …
Online prediction of ship behavior with automatic identification system sensor data using bidirectional long short-term memory recurrent neural network
M Gao, G Shi, S Li - Sensors, 2018 - mdpi.com
The real-time prediction of ship behavior plays an important role in navigation and intelligent
collision avoidance systems. This study developed an online real-time ship behavior …
collision avoidance systems. This study developed an online real-time ship behavior …
Research on bearing fault diagnosis of wind turbine gearbox based on 1DCNN-PSO-SVM
X Zhang, P Han, L Xu, F Zhang, Y Wang, L Gao - IEEE Access, 2020 - ieeexplore.ieee.org
Gearbox bearings play an important role in wind power generation system. Their regular
and stable operation will increase wind turbine power generation and improve the economic …
and stable operation will increase wind turbine power generation and improve the economic …
Ship collision avoidance anthropomorphic decision-making for structured learning based on AIS with Seq-CGAN
M Gao, GY Shi - Ocean Engineering, 2020 - Elsevier
The ship handling decision-making process constitutes the most critical step in intelligent
ship collision avoidance. This study utilized the ship encounter azimuth map to extract the …
ship collision avoidance. This study utilized the ship encounter azimuth map to extract the …
Explainability-based mix-up approach for text data augmentation
S Kwon, Y Lee - ACM transactions on knowledge discovery from data, 2023 - dl.acm.org
Text augmentation is a strategy for increasing the diversity of training examples without
explicitly collecting new data. Owing to the efficiency and effectiveness of text augmentation …
explicitly collecting new data. Owing to the efficiency and effectiveness of text augmentation …
Learning spatial-temporal features for video copy detection by the combination of CNN and RNN
Y Hu, X Lu - Journal of Visual Communication and Image …, 2018 - Elsevier
Following the rapid developments of network multimedia, video copyright protection online
has become a hot topic in recent researches. However, video copy detection is still a …
has become a hot topic in recent researches. However, video copy detection is still a …
Enhancement in speaker recognition for optimized speech features using GMM, SVM and 1-D CNN
S Nainan, V Kulkarni - International Journal of Speech Technology, 2021 - Springer
Contemporary automatic speaker recognition (ASR) systems do not provide 100% accuracy
making it imperative to explore different techniques to improve it. Easy access to mobile …
making it imperative to explore different techniques to improve it. Easy access to mobile …
基于LSTM-RNN 模型的铁水硅含量预测
李泽龙， 杨春节， 刘文辉， 周恒， 李宇轩 - 化工学报, 2018 - hgxb.cip.com.cn
The ironmaking in blast furnace, with large delay and complex conditions, is a dynamic
process. The traditional methods for prediction of silicon content in hot metal are mostly …
process. The traditional methods for prediction of silicon content in hot metal are mostly …
A practical system based on CNN-BLSTM network for accurate classification of ECG heartbeats of MIT-BIH imbalanced dataset
A Shoughi, MB Dowlatshahi - 2021 26th international computer …, 2021 - ieeexplore.ieee.org
ECG beats have a key role in the reduction of fatality rate arising from cardiovascular
diseases (CVDs) by using Arrhythmia diagnosis computer-aided systems and get the …
diseases (CVDs) by using Arrhythmia diagnosis computer-aided systems and get the …
CTC regularized model adaptation for improving LSTM RNN based multi-accent mandarin speech recognition
This paper proposes a novel regularized adaptation method to improve the performance of
multi-accent Mandarin speech recognition task. The acoustic model is based on long short …
multi-accent Mandarin speech recognition task. The acoustic model is based on long short …