IEEE ICASSP 2020 Virtual Conference May 2020

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  • Lie Group State Estimation Via Optimal Transport

    00:12:52
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    Many applications in science and engineering involve tracking the state of a stochastic differential equation (SDE) evolving in a Lie group. This has been tackled by particle filtering although some existing schemes fail to satisfy geometric constraints.
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  • Distributed Quantization For Sparse Time Sequences

    00:15:27
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    Analog signals processed in digital hardware are quantized into a discrete bit-constrained representation. Quantization is typically carried out using analog-to-digital converters (ADCs), operating in a serial scalar manner. In some applications, a set of
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Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) is a perceptual-driven approach for single image super-resolution that is able to produce photorealistic images. Despite the visual quality of these generated images, there is still room fo
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  • Vamp With Vector-Valued Diagonalization

    00:14:48
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    Vector approximate message passing is studied where vector-valued diagonalization instead of a uniform one is employed. Thereby, individual variances are tracked within the algorithm instead of an average one. Straightforward application based on the expe
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Despite the growing interest in unsupervised learning, extracting meaningful knowledge from unlabelled audio remains an open challenge. To take a step in this direction, we recently proposed a problem-agnostic speech encoder (PASE), that combines a convol
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  • Feature Affine Projection Algorithms

    00:13:56
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    There is a growing research interest in proposing new techniques to detect and exploit signals/systems sparsity. Recently, the idea of hidden sparsity has been proposed, and it has been shown that, in many cases, sparsity is not explicit, and some tools a
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  • Few-Shot Acoustic Event Detection Via Meta Learning

    00:11:59
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    We study few-shot acoustic event detection (AED) in this paper. Few-shot learning enables detection of new events with very limited labeled data and facilitates personalization of AED systems for users in real applications. Compared to other research area
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  • Distilling Attention Weights For Ctc-Based Asr Systems

    00:13:20
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    We present a novel training approach for connectionist temporal classification (CTC) -based automatic speech recognition (ASR) systems. CTC models are promising for building both a conventional acoustic model and an end-to-end (E2E) ASR model. However, CT
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  • 3D Deformation Signature For Dynamic Face Recognition

    00:15:34
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    This work proposes a novel 3D Deformation Signature (3DS) to represent a 3D deformation signal for 3D Dynamic Face Recognition. 3DS is computed given a non-linear 6D-space representation which guarantees physically plausible 3D deformations. A unique defo
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  • Frequency-Dependent Directional Feedback Delay Network

    00:14:24
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    A recent publication introduced the Directional Feedback Delay Network, a parametric artificial reverberation algorithm capable of producing direction-dependent energy decay. This method extends the capabilities of Feedback Delay Networks by using multich
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