With the recent growth of remote and hybrid work, online meetings often encounter challenging audio contexts such as background noise, music, and echo.
In this version of the challenge organized at INTERSPEECH 2021, we are expanding both our training and test datasets to accommodate full band scenarios.
no code implementations • 16 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.
no code implementations • 23 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.
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.
This work explores the use of auditory display in aiding the analysis of HRV leveraged by unsupervised machine learning techniques.
Relative reduction in diarization error rate (DER) for CRSS-PLTL corpus is 43. 22% using the proposed advancements as compared to baseline.
The performance of STATCOM with the above soft-computing techniques are studied and compared with the conventional PID controller under various scenarios.
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.
In this work, a pattern recognition system is investigated for blind automatic classification of digitally modulated communication signals.