Mingxing Xu

Speaker segmentation using deep speaker vectors for fast speaker change scenarios

2017

A novel speaker segmentation approach based on deep neural network is proposed and investigated. This approach uses deep speaker vectors (d-vectors) to represent speaker characteristics and to find speaker change points. The d-vector is a …

FERNet: Fine-grained Extraction and Reasoning Network for Emotion Recognition in Dialogues

2020

Yingmei Guo, Zhiyong Wu, Mingxing Xu. Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing. 2020.

Speaker Adaptation for Quantised End-to-End ASR Models

2024 · arXiv (Cornell University)

End-to-end models have shown superior performance for automatic speech recognition (ASR). However, such models are often very large in size and thus challenging to deploy on resource-constrained edge devices. While quantisation can reduce model sizes, …

Machine Learning and Gaussian Mixture Model for Delineating Soil Cadmium Risk Zones

2025 · Ecosystem Health and Sustainability

Effective management of regional soil cadmium (Cd) contamination is limited by difficulties in accurately predicting Cd concentrations and delineating the risk zones. This study proposed an integrated approach, combining a Machine Learning Spatial Information Enhancement …