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1
Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022)
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3
Estimating Vocal Tract Resonances of Synthesized High-Pitched Vowels Using CNN ...
Mikusova, Ivana. - : TU Wien, 2022
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4
Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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5
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
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6
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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7
Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
In: Sensors; Volume 22; Issue 8; Pages: 3070 (2022)
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8
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
In: Sensors; Volume 22; Issue 4; Pages: 1660 (2022)
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9
Automatic Classification Framework of Tongue Feature Based on Convolutional Neural Networks
In: Micromachines; Volume 13; Issue 4; Pages: 501 (2022)
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10
Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
In: Applied Sciences; Volume 12; Issue 5; Pages: 2707 (2022)
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11
Impact of Sentence Representation Matching in Neural Machine Translation
In: Applied Sciences; Volume 12; Issue 3; Pages: 1313 (2022)
Abstract: Most neural machine translation models are implemented as a conditional language model framework composed of encoder and decoder models. This framework learns complex and long-distant dependencies, but its deep structure causes inefficiency in training. Matching vector representations of source and target sentences improves the inefficiency by shortening the depth from parameters to costs and generalizes NMTs with a different perspective to cross-entropy loss. In this paper, we propose matching methods to derive the cost based on constant word-embedding vectors of source and target sentences. To find the best method, we analyze the impact of the methods with varying structures, distance metrics, and model capacity in a French to English translation task. An optimally configured method is applied to English translation tasks from and to French, Spanish, and German. In the tasks, the method showed performance improvement by 3.23 BLEU at maximum, with an improvement of 0.71 on average. We evaluated the robustness of this method to various embedding distributions and models, such as conventional gated structures and transformer networks, and empirical results showed that it has a higher chance to improve performance in those models.
Keyword: guiding pressure; machine translation; recurrent neural network; sentence representation; similarity
URL: https://doi.org/10.3390/app12031313
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12
A Combined Text-Based and Metadata-Based Deep-Learning Framework for the Detection of Spam Accounts on the Social Media Platform Twitter
In: Processes; Volume 10; Issue 3; Pages: 439 (2022)
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13
Application of Modern Digital Systems and Approaches to Business Process Management
In: Sustainability; Volume 14; Issue 3; Pages: 1697 (2022)
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14
BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network
In: Applied Sciences; Volume 12; Issue 8; Pages: 3933 (2022)
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15
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
In: Sensors; Volume 22; Issue 2; Pages: 574 (2022)
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16
TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants
In: Applied Sciences; Volume 12; Issue 4; Pages: 1974 (2022)
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17
Factors Influencing Students’ Intention to Use E-Textbooks and Their Impact on Academic Achievement in Bilingual Environment: An Empirical Study Jordan
In: Information; Volume 13; Issue 5; Pages: 233 (2022)
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18
Active Binaural Auditory Perceptual System for a Socially Interactive Humanoid Robot
In: Engineering Proceedings; Volume 12; Issue 1; Pages: 83 (2022)
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19
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
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20
Multitask Pointer Network for Multi-Representational Parsing
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