Sri Harsha Dumpala

发表

Improved speaker recognition system for stressed speech using deep neural networks

Sunil Kumar Kopparapu, Sri Harsha Dumpala, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Use of Vowels in Discriminating Speech-Laugh from Laughter and Neutral Speech

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sri Harsha Dumpala, 2016, INTERSPEECH.

A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Rupayan Chakraborty, 2018, IJCAI.

Analysis of the Effect of Speech-Laugh on Speaker Recognition System

Sunil Kumar Kopparapu, Ashish Panda, Sri Harsha Dumpala, 2018, INTERSPEECH.

k-FFNN: A priori knowledge infused Feed-forward Neural Networks pdf

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Rupayan Chakraborty, 2017, ArXiv.

A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications pdf

Imran Sheikh, Sri Harsha Dumpala, Rupayan Chakraborty, 2019, ArXiv.

Excitation Source and Vocal Tract System Based Acoustic Features for Detection of Nasals in Continuous Speech

Suryakanth V. Gangashetty, Karan Nathwani, Sri Harsha Dumpala, 2019, INTERSPEECH.

Simultaneous two-sample learning to address binary class imbalance problem in low-resource scenarios

Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu, 2020 .

Cycle-Consistent GAN Front-End to Improve ASR Robustness to Perturbed Speech

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Rupayan Chakraborty, 2018 .

Robust Vowel Landmark Detection Using Epoch-Based Features

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sri Harsha Dumpala, 2016, INTERSPEECH.

Analysis of laughter and speech-laugh signals using excitation source information

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sri Harsha Dumpala, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Rupayan Chakraborty, 2018, AAAI Workshops.

An Algorithm for Detection of Breath Sounds in Spontaneous Speech with Application to Speaker Recognition

Sri Harsha Dumpala, K. N. R. K. Raju Alluri, K. R. Alluri, 2017, SPECOM.

Improved I-vector-based Speaker Recognition for Utterances with Speaker Generated Non-speech sounds pdf

Sunil Kumar Kopparapu, Ashish Panda, Sri Harsha Dumpala, 2017, ArXiv.

A Novel Approach for Effective Learning in Low Resourced Scenarios pdf

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Rupayan Chakraborty, 2017, ArXiv.

Robust features for sonorant segmentation in continuous speech

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sri Harsha Dumpala, 2015, INTERSPEECH.

Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Imran Sheikh, 2018 .

Analysis of constraints on segmental DTW for the task of query-by-example spoken term detection

Suryakanth V. Gangashetty, Sri Harsha Dumpala, Anil Kumar Vuppala, 2015, 2015 Annual IEEE India Conference (INDICON).

Transfer Learning for Low Resource Spoken Language Understanding without Speech-to-Text

Imran Sheikh, Sri Harsha Dumpala, Swapnil Bhosale, 2019, 2019 IEEE Bombay Section Signature Conference (IBSSC).

End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Imran Sheikh, 2019, INTERSPEECH.

Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Imran Sheikh, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion

Sri Harsha Dumpala, Sageev Oore, 2021, Proceedings of the Canadian Conference on Artificial Intelligence.

Sine-Wave Speech as Preprocessing for Downstream Tasks

Sri Harsha Dumpala, Sageev Oore, Jason d’Eon, 2021 .

Significance of Speaker Embeddings and Temporal Context for Depression Detection pdf

Sri Harsha Dumpala, Sageev Oore, Rudolf Uher, 2021, ArXiv.

Estimating Severity of Depression From Acoustic Features and Embeddings of Natural Speech

Sri Harsha Dumpala, Sageev Oore, Rudolf Uher, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Musical Speech: A Transformer-based Composition Tool

Chandramouli Shama Sastry, Sri Harsha Dumpala, Sageev Oore, 2021, NeurIPS.

Applications of Speech Analysis in Psychiatry

Sri Harsha Dumpala, R. Uher, M. Kiefte, 2023, Harvard review of psychiatry.

On Combining Global and Localized Self-Supervised Models of Speech

Chandramouli Shama Sastry, Sri Harsha Dumpala, R. Uher, 2022, INTERSPEECH.

Simultaneous two-sample learning to address binary class imbalance problem in low-resource scenarios

Sri Harsha Dumpala, Rupayan Chakraborty, S. Kopparapu, 2020, Sādhanā.

Training Diffusion Classifiers with Denoising Assistance

Chandramouli Shama Sastry, Sri Harsha Dumpala, Sageev Oore, 2023, arXiv.org.

Sine-Wave Speech and Privacy-Preserving Depression Detection

Sri Harsha Dumpala, S. Matwin, R. Uher, 2021, SMM21, Workshop on Speech, Music and Mind 2021.