Self-knowledge distillation via feature enhancement for speaker verification
As the most widely used technique, deep speaker embedding learning has become
predominant in speaker verification task recently. Very large neural networks such as …
predominant in speaker verification task recently. Very large neural networks such as …
Distilling multi-level x-vector knowledge for small-footprint speaker verification
Even though deep speaker models have demonstrated impressive accuracy in speaker
verification tasks, this often comes at the expense of increased model size and computation …
verification tasks, this often comes at the expense of increased model size and computation …
Low power speaker identification using look up-free Gaussian mixture model in CMOS
This work discusses a CMOS-based implementation of low power speaker identification (SI)
using Gaussian mixture models (GMMs). Conventionally, GMM-based SI relies on repeated …
using Gaussian mixture models (GMMs). Conventionally, GMM-based SI relies on repeated …
Towards Speaker Identification on Resource-Constrained Embedded Devices
M Gallacher, CA Boano, MSA Sankar… - Proceedings of the 21st …, 2023 - dl.acm.org
Voice is a convenient and popular way to interact with our digital world. Besides translating
speech to text, it is also possible to identify speakers based on their voice profile. To date …
speech to text, it is also possible to identify speakers based on their voice profile. To date …
[PDF][PDF] Advances in Deep Speaker Verification: a study on robustness, portability, and security
X Liu - 2023 - erepo.uef.fi
Automatic speaker verification has numerous studies widely used in applications such as
user authentication, access control, and smart assistants. Empowered by stronger hardware …
user authentication, access control, and smart assistants. Empowered by stronger hardware …