IEEE ICASSP 2020 Virtual Conference May 2020

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Machine learning approaches to auditory object recognition are traditionally based on engineered features such as those derived from the spectrum or cepstrum. More recently, end- to-end classification systems in image and auditory recognition systems have
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  • End-To-End Generation Of Talking Faces From Noisy Speech

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    Acoustic cues are not the only component in speech communication; if the visual counterpart is present, it is shown to benefit speech comprehension. In this work, we propose an end-to-end (no pre- or post-processing) system that can generate talking faces
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  • Tensorflow Audio Models In Essentia

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    Essentia is a reference open-source C++/Python library for audio and music analysis. In this work, we present a set of algorithms that employ TensorFlow in Essentia, allow predictions with pre-trained deep learning models, and are designed to offer flexib
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In this work, we consider control of linear dynamical systems using sparse inputs. We provide an algorithm for determining a sequence of sparse inputs that will take the system from any given initial state to a desired final state, and stay in that state
  • Control Of Linear Dynamical Systems Using Sparse Inputs

    00:12:25
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    In this work, we consider control of linear dynamical systems using sparse inputs. We provide an algorithm for determining a sequence of sparse inputs that will take the system from any given initial state to a desired final state, and stay in that state
  • Control Of Linear Dynamical Systems Using Sparse Inputs

    00:12:25
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    In this work, we consider control of linear dynamical systems using sparse inputs. We provide an algorithm for determining a sequence of sparse inputs that will take the system from any given initial state to a desired final state, and stay in that state
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  • Study Of Formant Modification For Children Asr

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    The performance of automatic speech recognition systems for children?s speech is known to suffer from the large variation and mismatch in the acoustic and linguistic attributes between children?s and adults? speech. One of the various identified sources o
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  • Achieving The Capacity Of The Dna Storage Channel

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    Significant advances in biochemical technologies, such as synthesizing and sequencing devices, have made DNA a competitive medium for archival data storage. In this paper we analyze storage systems based on these macromolecules from an information theoret
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  • Gaussian Processes Over Graphs

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    Kernel Regression over Graphs (KRG) was recently proposed for predicting graph signals in a supervised learning setting, where the inputs are agnostic to the graph. KRG model predicts targets that are smooth graph signals as over the given graph, given th
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  • Eigenbeam-Esprit For Doa-Vector Estimation

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    Several techniques exist to estimate the directions of arrival (DOAs) of sound sources captured with a spherical microphone array. The eigenbeam rotational invariance technique (EB-ESPRIT) uses recurrence relations of spherical harmonics to estimate the D
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