نتایج جستجو برای: identification of spatial

تعداد نتایج: 21204621  

2012
Alan McCree Bengt J. Borgstrom

In this paper, we extend our previous analysis of Gaussian Mixture Model (GMM) subspace compensation techniques using Gaussian modeling in the supervector space combined with additive channel and observation noise. We show that under the modeling assumptions of a total-variability i-vector system, full Gaussian supervector scoring can also be performed cheaply in the total subspace, and that i-...

2016
Amir Hossein Poorjam Rahim Saeidi Tomi Kinnunen Ville Hautamäki

State-of-the-art language recognition systems involve modeling utterances with the i-vectors. However, the uncertainty of the i-vector extraction process represented by the i-vector posterior covariance is affected by various factors such as channel mismatch, background noise, incomplete transformations and duration variability. In this paper, we propose a new quality measure based on the i-vec...

2006
Roland J. Baddeley Benjamin W. Tatler

A Bayesian system identification technique was used to determine which image characteristics predict where people fixate when viewing natural images. More specifically an estimate was derived for the mapping between image characteristics at a given location and the probability that this location was fixated. Using a large database of eye fixations to natural images, we determined the most proba...

Journal: :J. Intellig. Transport. Systems 2006
Tomer Toledo Ross Beinhaker

This paper evaluates the potential travel time savings from Advanced Traveler Information Systems (ATIS) that provide drivers with travel time and routing information. We classify ATIS in various levels based on the type of information they use to generate guidance and the timing of the dissemination of the generated guidance to drivers. We present a case study that examines the potential trave...

2011
Najim Dehak Pedro A. Torres-Carrasquillo Douglas A. Reynolds Réda Dehak

In this paper, a new language identification system is presented based on the total variability approach previously developed in the field of speaker identification. Various techniques are employed to extract the most salient features in the lower dimensional i-vector space and the system developed results in excellent performance on the 2009 LRE evaluation set without the need for any post-pro...

2008
William M. Campbell Douglas E. Sturim Pedro A. Torres-Carrasquillo Douglas A. Reynolds

Compensation of cepstral features for mismatch due to dissimilar train and test conditions has been critical for good performance in many speech applications. Mismatch is typically due to variability from changes in speaker, channel, gender, and environment. Common methods for compensation include RASTA, mean and variance normalization, VTLN, and feature warping. Recently, a new class of subspa...

Journal: :PVLDB 2010
Xiang Lian Lei Chen

Data uncertainty is ubiquitous in many real-world applications suchas sensor/RFID data analysis. In this paper, we investigate uncer-tain data that exhibit local correlations, that is, each uncertain ob-ject is only locally correlated with a small subset of data, whilebeing independent of others. We propose a generic framework fordealing with this kind of uncertain and local...

2017
David Jurgens Yulia Tsvetkov Daniel Jurafsky

Language identification (LID) is a critical first step for processing multilingual text. Yet most LID systems are not designed to handle the linguistic diversity of global platforms like Twitter, where local dialects and rampant code-switching lead language classifiers to systematically miss minority dialect speakers and multilingual speakers. We propose a new dataset and a character-based sequ...

Journal: :IOP Conference Series: Materials Science and Engineering 2019

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید