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Approaches for Language Identification in Mismatched Environments

Date:
December 13, 2016
Published in:
Proceedings of SLT 2016, San Diego, Calif.
Type:
Conference Paper

Summary

In this paper, we consider the task of language identification in the context of mismatch conditions. Specifically, we address the issue of using unlabeled data in the domain of interest to improve the performance of a state-of-the-art system.

I-Vector Speaker and Language Recognition System on Android,

Date:
September 13, 2016
Published in:
Proceedings of IEEE High Performance Extreme Computing Conference (HPEC '16)
Type:
Conference Paper

Summary

I-Vector based speaker and language identification provides state of the art performance. However, this comes as a more computationally complex solution, which can often lead to challenges in resource-limited devices, such as phones or tablets. We present the implementation of an I-Vector speaker and language recognition system on the Android platform in the form of a fully functional application that allows speaker enrollment and language/speaker scoring within mobile contexts.

Corpora for the Evaluation of Robust Speaker Recognition Systems(177.37 KB)

Date:
August 10, 2016
Published in:
Proceedings of Interspeech 2016, San Francisco, Calif.
Type:
Conference Paper

Summary

The goal of this paper is to describe significant corpora available to support speaker recognition research and evaluation, along with details about the corpora collection and design. We describe the attributes of high-quality speaker recognition corpora. Considerations of the application, domain, and performance metrics are also discussed.

The MITLL NIST LRE 2015 Language Recognition System

Date:
June 21, 2016
Published in:
Proceedings of Odyssey 2016, Bilbao, Spain
Type:
Conference Paper

Summary

In this paper we describe the most recent MIT Lincoln Laboratory language recognition system developed for the NIST 2015 Language Recognition Evaluation (LRE). The submission features a fusion of five core classifiers, with most systems developed in the context of an i-vector framework.

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