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On the use of DNN Autoencoder for Robust Speaker Recognition
In this paper, we present an analysis of a DNN-based autoencoder for speech noised and reverberated data and we trained the autoencoder to map noisy and reverberated speech to its clean version. We use the autoencoder as a ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
Výsledek na webu
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
The recently introduced Embarrasingelly Shallow Autoencoder (EASE) algorithm presents a simple and elegant way to solve the top-N recommendation task. In this paper interest in the recsys community to utilize variational autoencoders
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2021 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Unsupervised Anomaly Detection Using Bidirectional GRU Autoencoder Neural Network for PLOAM Message Sequence Analysis in GPON
This paper proposes an autoencoder neural network based on bidirectional gated messages in gigabit-capable passive optical networks (GPONs). The autoencoder uses on the network. The capabilities of a trained autoencoder are...
Communication engineering and systems
- 2022 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering
In the field of recommender systems, shallow autoencoders have recently gained significant attention. One of the most highly acclaimed shallow autoencoders is easer, favored for its competitive recommendation accuracy and simultaneo...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2023 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Detection of Dangerous Driver Health Problems Using HOG-Autoencoder
, an autoencoder network is used to compress the features. Based on the autoencoder...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2023 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Autoencoder based multi-stream combination for noise robust speech recognition
In this paper, we have proposed techniques to estimate performance of DNN based classifiers. The technique is based on modeling the distribution of DNN outputs, using autoencoders....
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Application of Stacked Autoencoders to P300 Experimental Data
learning algorithms, specifically a stacked autoencoder, to detect the P300 component) were applied to the data and then compared with the results of stacked autoencoders....
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Extraction of Features for Lip-reading Using Autoencoders
We study the incorporation of facial depth data in the task of isolated word visual speech recognition. We propose novel features based on unsupervised training of a single layer autoencoder. The features are extracted from both video and de...
JC - Počítačový hardware a software
- 2014 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Autoencoder and Modified YOLOv3 Based Firearms Object Detection in X-ray Baggage Images to Enhance Aviation Safety
firearms object detection based on modified YOLOv3 and autoencoder for security defense are carried out by an autoencoder. The classification is performed by a Multi-Layer......
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2021 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition
In this work, we present an analysis of a DNN-based autoencoder for speech with artificially noised and reverberated data and we use them to train adenoising autoencoder the autoencoder as a preprocessing step for a text-in...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
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