Spoken language recognition refers to the automatic process through which we determine
or verify the identity of the language spoken in a speech sample. We study a computational …

A key problem in spoken language identification (LID) is to design effective representations
which are specific to language information. For example, in recent years, representations …

Research in automatic speaker recognition has now spanned four decades. This paper
surveys the major themes and advances made in the past 40 years of research so as to …

The variability of the channel and environment is one of the most important factors affecting
the performance of text-independent speaker verification systems. The best techniques for …

High-level characteristics such as word usage, pronunciation, phonotactics, prosody, etc.,
have seen a resurgence for automatic speaker recognition over the last several years. With …

We investigate several feature normalization and scaling approaches for use in speaker
verification based on support vector machines. We are particularly interested in methods that …

Resumen FORENSIC EVALUATION OF THE EVICENCE USING AUTOMATIC SPEAKER
RECOGNITION SYSTEMS Esta tesis se centra en el uso de sistemas automáticos de …

Language recognition is typically performed with methods that exploit phonotactics-a phone
recognition language modeling (PRLM) system. A PRLM system converts speech to a lattice …

Cross-channel degradation is one of the significant challenges facing speaker recognition
systems. We study this problem in the support vector machine (SVM) context and nuisance …

This paper presents a description of the MIT Lincoln Laboratory submissions to the 2005
NIST Language Recognition Evaluation (LRE05). As was true in 2003, the 2005 …