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Found 11 papers, 4 papers with code
Blind Modulation Classification based on MLP and PNN
In this work, a pattern recognition system is investigated for blind automatic classification of digitally modulated communication signals.
A Novel Fault Classification Scheme Based on Least Square SVM
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.
Bacterial Foraging Optimized STATCOM for Stability Assessment in Power System
The performance of STATCOM with the above soft-computing techniques are studied and compared with the conventional PID controller under various scenarios.
Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams
Relative reduction in diarization error rate (DER) for CRSS-PLTL corpus is 43. 22% using the proposed advancements as compared to baseline.
Fuzzy C-Means Clustering and Sonification of HRV Features
This work explores the use of auditory display in aiding the analysis of HRV leveraged by unsupervised machine learning techniques.
CURE Dataset: Ladder Networks for Audio Event Classification
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.
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework
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.
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
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.
Interspeech 2021 Deep Noise Suppression Challenge
In this version of the challenge organized at INTERSPEECH 2021, we are expanding both our training and test datasets to accommodate full band scenarios.
MusicNet: Compact Convolutional Neural Network for Real-time Background Music Detection
With the recent growth of remote work, online meetings often encounter challenging audio contexts such as background noise, music, and echo.
ICASSP 2022 Deep Noise Suppression Challenge
We open-source datasets and test sets for researchers to train their deep noise suppression models, as well as a subjective evaluation framework based on ITU-T P. 835 to rate and rank-order the challenge entries.
