Search Results for author: Harishchandra Dubey

Found 10 papers, 1 papers with code

MusicNet: Compact Convolutional Neural Network for Real-time Background Music Detection

no code implementations8 Oct 2021 Chandan K. A. Reddy, Vishak Gopa, Harishchandra Dubey, Sergiy Matusevych, Ross Cutler, Robert Aichner

With the recent growth of remote and hybrid work, online meetings often encounter challenging audio contexts such as background noise, music, and echo.

Interspeech 2021 Deep Noise Suppression Challenge

1 code implementation6 Jan 2021 Chandan K A Reddy, Harishchandra Dubey, Kazuhito Koishida, Arun Nair, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan

In this version of the challenge organized at INTERSPEECH 2021, we are expanding both our training and test datasets to accommodate full band scenarios.

Denoising Speech Quality

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

no code implementations16 May 2020 Chandan K. A. Reddy, Vishak Gopal, Ross Cutler, Ebrahim Beyrami, Roger Cheng, Harishchandra Dubey, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke

In this challenge, we open-sourced a large clean speech and noise corpus for training the noise suppression models and a representative test set to real-world scenarios consisting of both synthetic and real recordings.

Speech Enhancement

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

no code implementations23 Jan 2020 Chandan K. A. Reddy, Ebrahim Beyrami, Harishchandra Dubey, Vishak Gopal, Roger Cheng, Ross Cutler, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke

In this challenge, we open-source a large clean speech and noise corpus for training the noise suppression models and a representative test set to real-world scenarios consisting of both synthetic and real recordings.

Speech Enhancement Speech Quality

CURE Dataset: Ladder Networks for Audio Event Classification

no code implementations12 Jan 2020 Harishchandra Dubey, Dimitra Emmanouilidou, Ivan J. Tashev

While Ladder network is robust to data mismatches, simpler SVM and ELM classifiers are sensitive to such mismatches, where the proposed normalization techniques can play an important role.

Classification General Classification

Fuzzy C-Means Clustering and Sonification of HRV Features

no code implementations19 Aug 2019 Debanjan Borthakur, Victoria Grace, Paul Batchelor, Harishchandra Dubey, Kunal Mankodiya

This work explores the use of auditory display in aiding the analysis of HRV leveraged by unsupervised machine learning techniques.

Heart Rate Variability

Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams

no code implementations12 Jul 2019 Harishchandra Dubey, Abhijeet Sangwan, John Hansen

Relative reduction in diarization error rate (DER) for CRSS-PLTL corpus is 43. 22% using the proposed advancements as compared to baseline.

Speaker Diarization

Bacterial Foraging Optimized STATCOM for Stability Assessment in Power System

no code implementations1 Oct 2016 Shiba R. Paital, Prakash K. Ray, Asit Mohanty, Sandipan Patra, Harishchandra Dubey

The performance of STATCOM with the above soft-computing techniques are studied and compared with the conventional PID controller under various scenarios.

A Novel Fault Classification Scheme Based on Least Square SVM

no code implementations30 May 2016 Harishchandra Dubey, A. K. Tiwari, Nandita, P. K. Ray, S. R. Mohanty, Nand Kishor

This paper presents a novel approach for fault classification and section identification in a series compensated transmission line based on least square support vector machine.

Classification General Classification

Blind Modulation Classification based on MLP and PNN

no code implementations30 May 2016 Harishchandra Dubey, Nandita, Ashutosh Kumar Tiwari

In this work, a pattern recognition system is investigated for blind automatic classification of digitally modulated communication signals.

Classification General Classification

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