EMOTIONAL VOICE CONVERSION USING A HYBRID FRAMEWORK WITH SPEAKER-ADAPTIVE DNN AND PARTICLE-SWARM-OPTIMIZED NEURAL NETWORK

Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network

We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion conversion, tested on three different datasets (languages), namely, EmoDB (German), IITKGP (Telugu), and SAVEE (English).The optimized learning model introduced is unique because of its ability to synthesize emotional speech with an acceptable perceptive quality

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Supraspinal Shaping of Adaptive Transitions in the State of Functional Connectivity Between Segmentally Distributed Dorsal Horn Neuronal Populations in Response to Nociception and Antinociception

In the anesthetized cat the correlation between the ongoing cord dorsum potentials (CDPs) recorded from different lumbar spinal segments has a non-random structure, suggesting relatively stable patterns of functional connectivity between the dorsal horn neuronal ensembles involved in the generation of these potentials.During the nociception induced

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