Meet H. Soni — accepted AI-conference papers

2020

Multi-Conditioning and Data Augmentation Using Generative Noise Model for Speech Emotion Recognition in Noisy Conditions

Upasana Tiwari, Meet H. Soni, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu

ICASSP 2020accepted

Degradation due to additive noise is a significant road block in the real-life deployment of Speech Emotion Recognition (SER) systems. Most of the previous work in this field dealt with the noise degradation either at the signal or at the feature level. In this paper, to address the robustness aspec…

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2018

Time-Frequency Masking-Based Speech Enhancement Using Generative Adversarial Network

Meet H. Soni, Neil Shah, Hemant A. Patil

ICASSP 2018accepted

The success of time-frequency (T-F) mask-based approaches is dependent on the accuracy of predicted mask given the noisy spectral features. The state-of-the-art methods in T- F masking-based enhancement employ Deep Neural Network (DNN) to predict mask. Recently, Generative Adversarial Networks (GAN)…

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