Sri Harsha Dumpala

According to our database1, Sri Harsha Dumpala authored at least 28 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Predicting Individual Depression Symptoms from Acoustic Features During Speech.
CoRR, 2024

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations.
CoRR, 2024

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations.
CoRR, 2024

Test-Time Training for Depression Detection.
CoRR, 2024

2023
Test-Time Training for Speech.
CoRR, 2023

Training Diffusion Classifiers with Denoising Assistance.
CoRR, 2023

2022
On Combining Global and Localized Self-Supervised Models of Speech.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
Significance of Speaker Embeddings and Temporal Context for Depression Detection.
CoRR, 2021

Estimating Severity of Depression From Acoustic Features and Embeddings of Natural Speech.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Musical Speech: A Transformer-based Composition Tool.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications.
CoRR, 2019

Excitation Source and Vocal Tract System Based Acoustic Features for Detection of Nasals in Continuous Speech.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Analysis of the Effect of Speech-Laugh on Speaker Recognition System.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Novel Approach for Effective Learning in Low Resourced Scenarios.
CoRR, 2017

Improved I-vector-based Speaker Recognition for Utterances with Speaker Generated Non-speech sounds.
CoRR, 2017

k-FFNN: A priori knowledge infused Feed-forward Neural Networks.
CoRR, 2017

An Algorithm for Detection of Breath Sounds in Spontaneous Speech with Application to Speaker Recognition.
Proceedings of the Speech and Computer - 19th International Conference, 2017

Improved speaker recognition system for stressed speech using deep neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Robust Vowel Landmark Detection Using Epoch-Based Features.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Use of Vowels in Discriminating Speech-Laugh from Laughter and Neutral Speech.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015
Robust features for sonorant segmentation in continuous speech.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014
Analysis of laughter and speech-laugh signals using excitation source information.
Proceedings of the IEEE International Conference on Acoustics, 2014


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