New Developments in Voice Biometrics for User Authentication

By Hagai Aronowitz, Ron Hoory, Jason W. Pelecanos, David Nahamoo. 2011

38 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Tara N. Sainath
2. Yoshua Bengio
3. Ignacio Lopez-Moreno
4. Quoc V. Le
5. Dong Yu
6. Mohit Bansal
7. Jianfeng Gao
8. Jinyu Li

In Signal Processing

1. Ignacio Lopez-Moreno
2. Carolina Parada
3. Raziel Alvarez
4. Georg Heigold
5. Tara N. Sainath
6. Ignacio Moreno
7. Samy Bengio
8. Mirkó Visontai

Citations in the corpus

• End-to-end text-dependent speaker verification (2015, background): “By constraining the lexicon, text-dependent speaker verification aims to compensate for phonetic variability, which poses a significant challenge in speaker verification [1].”
• Text dependent speaker verification using a small development set (2012, methodology): “Recently, a work [1] has been done at IBM within the framework of a proof of technology (POT) which was performed on data collected by the Wells Fargo (WF) bank.”
• Locally-connected and convolutional neural networks for small footprint speaker recognition (2015, background): “By constraining the lexicon, TD-SV compensates for phonetic variability, which poses a significant challenge in SV [1].”