Nov 3, 2023 · Experimental evaluations on the Voxceleb dataset show that combining segmental and suprasegmental features can reduce the EER of an end-to-end ...

This paper proposes a novel framework that can capture the segmental and suprasegmental information after the first convolutional layer for end-to-end ...

Speaker verification (SV) is a critical task in spoken language processing. • Supervised SV has achieved remarkable improvement in recent years,.

Mar 10, 2022 · Conference Paper. Modeling Suprasegmental Information Using Finite Difference Network for End-to-End Speaker Verificat... October 2023.

Modeling Suprasegmental Information Using Finite Difference Network for End-to-End Speaker Verification · Jin LiMan-Wai MakNan YanLan Wang. Computer Science.

TL;DR: This paper proposes a novel framework that can capture the segmental and suprasegmental information after the first convolutional layer for end-to-end ...

Jun 11, 2024 · Wang, “Modeling suprasegmental information using finite difference network for end-to-end speaker verification,” in Proc. APSIPA ASC, 2023 ...

Oct 4, 2023 · Modeling Suprasegmental Information Using. Finite Difference Network for End-To-End. Speaker Verification. Oral. Presentation. E1. SLA-I: ...

Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar ...

Kodali Radha · Mohan Bansal · Ram Bilas Pachori · View · Modeling Suprasegmental Information Using Finite Difference Network for End-to-End Speaker Verification.