The USTC-Ximalaya system for the ICASSP 2022 multi-channel multi-party meeting transcription (M2MeT) challenge

no code implementations • 10 Feb 2022 • Maokui He, Xiang Lv, Weilin Zhou, JingJing Yin, Xiaoqi Zhang, Yuxuan Wang, Shutong Niu, Yuhang Cao, Heng Lu, Jun Du, Chin-Hui Lee

We propose two improvements to target-speaker voice activity detection (TS-VAD), the core component in our proposed speaker diarization system that was submitted to the 2022 Multi-Channel Multi-Party Meeting Transcription (M2MeT) challenge.

Action Detection Activity Detection +2

Adaptive Bayesian Linear Regression for Automated Machine Learning

no code implementations • 1 Apr 2019 • Weilin Zhou, Frederic Precioso

To solve a machine learning problem, one typically needs to perform data preprocessing, modeling, and hyperparameter tuning, which is known as model selection and hyperparameter optimization. The goal of automated machine learning (AutoML) is to design methods that can automatically perform model selection and hyperparameter optimization without human interventions for a given dataset.

Bayesian Optimization BIG-bench Machine Learning +4