IEEE ICASSP 2020 Virtual Conference May 2020

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  • Predicting Word Error Rate For Reverberant Speech

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    Reverberation negatively impacts the performance of automatic speech recognition (ASR). Prior work on quantifying the effect of reverberation has shown that clarity (C50), a parameter that can be estimated from the acoustic impulse response, is correlated
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  • Gaussian Process Imputation Of Multiple Financial Series

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    In Financial Signal Processing, multiple time series such as financial indicators, stock prices and exchange rates are strongly coupled due to their dependence on the latent state of the market and therefore they are required to be jointly analysed. We fo
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  • Source Enumeration Via Toeplitz Matrix Completion

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    This paper addresses the problem of source enumeration by an array of sensors in the presence of noise whose spatial covariance structure is a diagonal matrix with possibly different variances, referred to non-iid noise hereafter, when the sources are unc
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  • Alignment-Length Synchronous Decoding For Rnn Transducer

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    We present a beam decoding strategy for recurrent neural network transducers which has the characteristic that all competing hypotheses within the beam have the same alignment length (number of output symbols plus BLANK symbols). We contrast the proposed
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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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