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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)
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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)
Abstract: Sound Source Localization (SSL) and gaze shift to the sound source behavior is an integral part of a socially interactive humanoid robot perception system. In noisy and reverberant environments, it is non-trivial to estimate the location of a sound source and accurately shift gaze in its direction. Previous SSL algorithms are deficient in the optimum approximation of distance to audio sources and to accurately detect, interpret, and differentiate the actual sound from comparable sound sources due to challenging acoustic environments. In this article, a learning-based model is presented to achieve noiseless and reverberation-resistant sound source localization in the real-world scenarios. The proposed system utilizes a multi-layered Gaussian Cross-Correlation with Phase Transform (GCC-PHAT) signal processing technique as a baseline for a Generalized Cross Correlation Convolution Neural Network (GCC-CNN) model. The proposed model is integrated with an efficient rotation algorithm to predict and orient toward the sound source. The performance of the proposed method is compared with the state-of-art deep network-based sound source localization methods. The findings of the proposed method outperform the existing neural network-based approaches by achieving the highest accuracy of 96.21% for an active binaural auditory perceptual system.
Keyword: gaussian cross-correlation with phase transform (GCC-PHAT); generalized cross-correlation convolution neural network (GCC-CNN); sound source localization (SSL)
URL: https://doi.org/10.3390/engproc2021012083
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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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