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Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System

Probabilistic Amplitude Demodulation features in Speech Synthesis for Improving Prosody

The Impact of Big Data and Analytics on CIO Role

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

Pitfalls Of Doppler Measurements For Arterial Blood Flow Quantification In Small Animal Research: A Study Based On Virtual Ultrasound Imaging

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Ambient aerosol composition by infrared spectroscopy and partial least-squares in the chemical speciation network: Organic carbon with functional group identification

Graph Based Sinogram Denoising for Tomographic Reconstructions

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

The Impact of Big Data and Analytics on CIO Role

Pitfalls Of Doppler Measurements For Arterial Blood Flow Quantification In Small Animal Research: A Study Based On Virtual Ultrasound Imaging

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Graph Based Sinogram Denoising for Tomographic Reconstructions

Probabilistic Amplitude Demodulation features in Speech Synthesis for Improving Prosody

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition

Ambient aerosol composition by infrared spectroscopy and partial least-squares in the chemical speciation network: Organic carbon with functional group identification