Search Results for author: Ganesh Sivaraman

Found 10 papers, 5 papers with code

Acoustic-to-articulatory Speech Inversion with Multi-task Learning

no code implementations27 May 2022 Yashish M. Siriwardena, Ganesh Sivaraman, Carol Espy-Wilson

Multi-task learning (MTL) frameworks have proven to be effective in diverse speech related tasks like automatic speech recognition (ASR) and speech emotion recognition.

Automatic Speech Recognition Multi-Task Learning +2

Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs

no code implementations25 May 2022 Yashish M. Siriwardena, Ahmed Adel Attia, Ganesh Sivaraman, Carol Espy-Wilson

In this work, we compare and contrast different ways of doing data augmentation and show how this technique improves the performance of articulatory speech inversion not only on noisy speech, but also on clean speech data.

Data Augmentation

Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals

no code implementations11 Mar 2022 Rahil Parikh, Nadee Seneviratne, Ganesh Sivaraman, Shihab Shamma, Carol Espy-Wilson

We used U. of Wisconsin X-ray Microbeam (XRMB) database of clean speech signals to train a feed-forward deep neural network (DNN) to estimate articulatory trajectories of six tract variables.

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing

1 code implementation6 Oct 2021 Logan Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian Foster

Scientific applications that involve simulation ensembles can be accelerated greatly by using experiment design methods to select the best simulations to perform.

Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech

no code implementations16 May 2019 Emre Yilmaz, Vikramjit Mitra, Ganesh Sivaraman, Horacio Franco

The rapid population aging has stimulated the development of assistive devices that provide personalized medical support to the needies suffering from various etiologies.

Automatic Speech Recognition speech-recognition

Adversarial Auto-encoders for Speech Based Emotion Recognition

no code implementations6 Jun 2018 Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Wael Abd-Almageed, Carol Espy-Wilson

Recently, generative adversarial networks and adversarial autoencoders have gained a lot of attention in machine learning community due to their exceptional performance in tasks such as digit classification and face recognition.

Emotion Recognition Face Recognition

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