Novel leakage detection by ensemble CNN-SVM and graph-based localization in water distribution systems
J Kang, YJ Park, J Lee, SH Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In many water distribution systems, a significant amount of water is lost because of leakage
during transit from the water treatment plant to consumers. As a result, water leakage …
during transit from the water treatment plant to consumers. As a result, water leakage …
The effectiveness of data augmentation for detection of gastrointestinal diseases from endoscopical images
A Asperti, C Mastronardo - arXiv preprint arXiv:1712.03689, 2017 - arxiv.org
The lack, due to privacy concerns, of large public databases of medical pathologies is a well-
known and major problem, substantially hindering the application of deep learning …
known and major problem, substantially hindering the application of deep learning …
The Effect of Noise on Deep Learning for Classification of Pathological Voice
K Hasebe, S Fujimura, T Kojima, K Tamura… - The …, 2024 - Wiley Online Library
Objective This study aimed to evaluate the significance of background noise in machine
learning models assessing the GRBAS scale for voice disorders. Methods A dataset of 1406 …
learning models assessing the GRBAS scale for voice disorders. Methods A dataset of 1406 …
Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation
Abstract The task of Speaker LOCalization (SLOC) has been the focus of numerous works in
the research field, where SLOC is performed on pure speech data, requiring the presence of …
the research field, where SLOC is performed on pure speech data, requiring the presence of …
Influence of Highly Inflected Word Forms and Acoustic Background on the Robustness of Automatic Speech Recognition for Human–Computer Interaction
A Zgank - Mathematics, 2022 - mdpi.com
Automatic speech recognition is essential for establishing natural communication with a
human–computer interface. Speech recognition accuracy strongly depends on the …
human–computer interface. Speech recognition accuracy strongly depends on the …
On practical aspects of multi-condition training based on augmentation for reverberation-/noise-robust speech recognition
J Malek, J Zdansky - Text, Speech, and Dialogue: 22nd International …, 2019 - Springer
Multi-condition training achieved through data augmentation belongs to the most successful
techniques for noise/reverberation-robust automatic speech recognition (ASR). Its basic …
techniques for noise/reverberation-robust automatic speech recognition (ASR). Its basic …
Building real-time speech recognition without CMVN
Estimating cepstral mean and variance normalization (CMVN) in run-on and real-time
settings poses several challenges. Using a moving average for variance and mean …
settings poses several challenges. Using a moving average for variance and mean …
Methods and systems for cockpit speech recognition acoustic model training with multi-level corpus data augmentation
W Luning, W Yang, Z Dai - US Patent 10,997,967, 2021 - Google Patents
A method for initializing a device for performing acoustic speech recognition (ASR) using an
ASR model, by a computer system including at least one processor and a system memory …
ASR model, by a computer system including at least one processor and a system memory …
Non causal deep learning based dereverberation
In this paper we demonstrate the effectiveness of non-causal context for mitigating the
effects of reverberation in deep-learning-based automatic speech recognition (ASR) …
effects of reverberation in deep-learning-based automatic speech recognition (ASR) …
Automatic Detection of Necrotizing Fasciitis: A Dataset and Early Results
Necrotizing Fasciitis (NF), or Necrotizing Soft-Tissue Infection (NSTI), is a rare infection that
poses a significant threat to health. In the absence of a proper diagnosis, the infection can …
poses a significant threat to health. In the absence of a proper diagnosis, the infection can …