IEEE ICASSP 2020 Virtual Conference May 2020

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  • Multimodal Violence Detection In Videos

    00:14:20
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    Effective tools for detection of violence are highly demanded, specially when dealing with video streams. Such tools have a wide range of applications, from forensics and law enforcement to parental control over the ever increasing amount of videos availa
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  • Feedback Turbo Autoencoder

    00:14:18
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    Designing channel codes is one of the core research areas for modern communication systems. Canonical channel codes asymptotically achieve near-capacity performance under a large block length regime for additive white gaussian noise channels. However, thi
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  • Neural Oracle Search On N-Best Hypotheses

    00:16:06
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    In this paper, we propose a neural search algorithm to select the most likely hypothesis using a sequence of acoustic representations and multiple hypotheses as input. The algorithm provides a sequence level score for each audio-hypothesis pair that is ob
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  • Feedback Recurrent Autoencoder

    00:14:52
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    In this work, we propose a new recurrent autoencoder architecture, termed Feedback Recurrent AutoEncoder (FRAE), for online compression of sequential data with temporal dependency. The recurrent structure of FRAE is designed to efficiently extract the red
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  • Arsm Gradient Estimator For Supervised Learning To Rank

    00:16:01
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    We propose a new model for supervised learning to rank. In our model, the relevance labels are assumed to follow a categorical distribution whose probabilities are constructed based on a scoring function. We optimize the training objective with respect to
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  • Dnn-Based Speech Recognition For Globalphone Languages

    00:14:05
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    This paper describes new reference benchmark results based on hybrid Hidden Markov Model and Deep Neural Networks (HMM-DNN) for the GlobalPhone (GP) multilingual text and speech database. GP is a multilingual database of high-quality read speech with corr
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  • Efficient Bird Sound Detection On The Bela Embedded System

    00:08:01
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    Monitoring wildlife is an important aspect of conservation initiatives. Deep learning detectors can help with this, although it is not yet clear whether they can run efficiently on an embedded system in the wild. This paper proposes an automatic detection
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  • Sound Event Detection In Synthetic Domestic Environments

    00:14:56
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    We present a comparative analysis of the performance of state-of-the-art sound event detection systems. In particular, we study the robustness of the systems to noise and signal degradation, which is known to impact model generalization. Our analysis is b
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  • Keyword Search For Sign Language

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    Keyword search is the search for a written query in an archive, which is often assumed to be a collection from a spoken language. Yet, the main languages of the Deaf, i.e. sign languages, are mostly neglected in this definition due to being visual languag
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