Meng Yu

Towards Robust Speaker Verification with Target Speaker Enhancement

2021 · arXiv (Cornell University)

This paper proposes the target speaker enhancement based speaker verification network (TASE-SVNet), an all neural model that couples target speaker enhancement and speaker embedding extraction for robust speaker verification (SV). Specifically, an enrollment speaker conditioned …

Towards end-to-end Speaker Diarization with Generalized Neural Speaker Clustering

2022 · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speaker diarization consists of many components, e.g., front-end processing, speech activity detection (SAD), overlapped speech detection (OSD) and speaker segmentation/clustering. Conventionally, most of the involved components are separately developed and optimized. The resulting speaker diarization …

Quantum Chimp Optimization Algorithm: A Novel Integration of Quantum Mechanics Into the Chimp Optimization Framework for Enhanced Performance

2024 · Journal of Artificial Intelligence and Soft Computing Research

Abstract This research introduces the Quantum Chimp Optimization Algorithm (QChOA), a pioneering methodology that integrates quantum mechanics principles into the Chimp Optimization Algorithm (ChOA). By incorporating non-linearity and uncertainty, the QChOA significantly improves the ChOA’s …

Weakly-Supervised Neural Text Classification

2018

Deep neural networks are gaining increasing popularity for the classic text classification task, due to their strong expressive power and less requirement for feature engineering. Despite such attractiveness, neural text classification models suffer from the …

Spherical Text Embedding

2019 · arXiv (Cornell University)

Unsupervised text embedding has shown great power in a wide range of NLP tasks. While text embeddings are typically learned in the Euclidean space, directional similarity is often more effective in tasks such as word …