The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
This work analyzes the performance of speaker recognition when carried out by human lay listeners. In forensics, judges and jurors usually manifest intuition that people is profi...
Daniel Ramos, Javier Franco-Pedroso, Joaquin Gonza...
This paper presents ongoing research leveraging forensic methods for automatic speaker recognition. Some of the methods forensic scientists employ include identifying speaker dist...
Kyu J. Han, Mohamed Kamal Omar, Jason W. Pelecanos...
Constrained cepstral systems, which select frames to match various linguistic “constraints” in enrollment and test, have shown significant improvements for speaker verificatio...
This paper presents a way to perform speaker adaptation for automatic speech recognition using the stream weights in a multi-stream setup, which included acoustic models for “Ar...