Mandar Gogate

Mandar Gogate

Edinburgh Napier University

H-index: 24

Europe-United Kingdom

About Mandar Gogate

Mandar Gogate, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at Edinburgh Napier University, specializes in the field of Speech Enhancement, Audio Visual Speech Separation, Machine Learning, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication

Towards Environmental Preference Based Speech Enhancement For Individualised Multi-Modal Hearing Aids

Federated Learning for Market Surveillance

Statistical Downscaling Modeling for Temperature Prediction

Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan

Robust Real-time Audio-Visual Speech Enhancement based on DNN and GAN

Steel surface defect detection based on self-supervised contrastive representation learning with matching metric

5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids

Mandar Gogate Information

University

Position

___

Citations(all)

1979

Citations(since 2020)

1946

Cited By

378

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

36

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Mandar Gogate Skills & Research Interests

Speech Enhancement

Audio Visual Speech Separation

Machine Learning

Natural Language Processing

Top articles of Mandar Gogate

Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication

Plos one

2024/4/25

Towards Environmental Preference Based Speech Enhancement For Individualised Multi-Modal Hearing Aids

arXiv preprint arXiv:2402.16757

2024/2/26

Federated Learning for Market Surveillance

2024/2/21

Kia Dashtipour
Kia Dashtipour

H-Index: 11

Mandar Gogate
Mandar Gogate

H-Index: 12

Statistical Downscaling Modeling for Temperature Prediction

2024/2/21

Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan

2024/2/21

Robust Real-time Audio-Visual Speech Enhancement based on DNN and GAN

IEEE Transactions on Artificial Intelligence

2024/2/1

Steel surface defect detection based on self-supervised contrastive representation learning with matching metric

Applied Soft Computing

2023/9/1

5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids

2023/8

DNet-CNet: A novel cascaded deep network for real-time lane detection and classification

Journal of Ambient Intelligence and Humanized Computing

2023/8

Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis

2023/7/17

Audio-visual speech enhancement using self-supervised learning to improve speech intelligibility in cochlear implant simulations

arXiv preprint arXiv:2307.07748

2023/7/15

Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning

Computers

2023/6/19

Audio-visual speech enhancement and separation by utilizing multi-modal self-supervised embeddings

2023/6/4

Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids

2023/6/4

Towards individualised speech enhancement: An snr preference learning system for multi-modal hearing aids

2023/6/4

Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids

2023/6/4

Live Demonstration: Real-time Multi-modal Hearing Assistive Technology Prototype

2023/5/21

Live Demonstration: Cloud-based Audio-Visual Speech Enhancement in Multimodal Hearing-aids

2023/5/21

The p vs. NP problem and attempts to settle it via perfect graphs state-of-the-art approach

2023/3/2

A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting

Entropy

2023/1/30

See List of Professors in Mandar Gogate University(Edinburgh Napier University)

Co-Authors

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