Výsledky vyhledávání - "Aarthi M. Reddy"

Using Gaussian Mixture Models to Detect Outliers in Seasonal Univariate Network Traffic

Autor: Aarthi M. Reddy, Johan Muedsam, Brad Ford, Austin Henslee, Melissa Lee, Ronen Kahana, Max Rao, Joshua Whitney, Matt Dugan, Meredith Ordway-West

Publikováno v: IEEE Symposium on Security and Privacy Workshops

This article presents an algorithm to detect outliers in seasonal, univariate network traffic data using Gaussian Mixture Models (GMMs). Additionally we show that this methodology can easily be implemented in a big data scenario and delivers the requ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::acc05b86c18406b7fb9bf40b21d0f9b9
https://doi.org/10.1109/spw.2017.9

Zobrazit plný text záznamu

Integration of Statistical Models for Dictation of Document Translations in a Machine-Aided Human Translation Task

Autor: Richard Rose, Aarthi M. Reddy

Publikováno v: IEEE Transactions on Audio, Speech, and Language Processing. 18:2015-2027

This paper presents a model for machine-aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text translation of source language document. It is evaluated on a scenario where a hu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::152316684883ee214d236a7a6e402446
https://doi.org/10.1109/tasl.2010.2040793

Zobrazit plný text záznamu

Soft Mask Methods for Single-Channel Speaker Separation

Autor: Aarthi M. Reddy, Bhiksha Raj

Publikováno v: IEEE Transactions on Audio, Speech and Language Processing. 15:1766-1776

The problem of single-channel speaker separation attempts to extract a speech signal uttered by the speaker of interest from a signal containing a mixture of acoustic signals. Most algorithms that deal with this problem are based on masking, wherein

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::06a55a11f93859f8c601bad5f0ac8164
https://doi.org/10.1109/tasl.2007.901310

Zobrazit plný text záznamu

MVA: The Multimodal Virtual Assistant

Autor: Aarthi M. Reddy, Patrick Ehlen, Brant J. Vasilieff, Hyuckchul Jung, Jay G. Wilpon, Michael V. Johnston, Jay Henry Lieske, Ethan Selfridge, Svetlana Stoyanchev, John Chen

Publikováno v: SIGDIAL Conference

The Multimodal Virtual Assistant (MVA) is an application that enables users to plan an outing through an interactive multimodal dialog with a mobile device. MVA demonstrates how a cloud-based multimodal language processing infrastructure can support

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a15353e2d4ec77240f9b1975511965e
https://doi.org/10.3115/v1/w14-4335

Zobrazit plný text záznamu

Efficient integration of translation and speech models in dictation based machine aided human translation

Autor: Luis Rodríguez, Richard Rose, Aarthi M. Reddy

Publikováno v: ICASSP

This paper is concerned with combining models for decoding an optimum translation for a dictation based machine aided human translation (MAHT) task. Statistical language model (SLM) probabilities in automatic speech recognition (ASR) are updated usin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5a69e64527693b25d77d620a27917af
https://doi.org/10.1109/icassp.2012.6289030

Zobrazit plný text záznamu

Subword-based spoken term detection in audio course lectures

Autor: Aarthi M. Reddy, Vishwa Gupta, Richard Rose, Martin Karafiat, Atta Norouzian, André Coy

Publikováno v: ICASSP

This paper investigates spoken term detection (STD) from audio recordings of course lectures obtained from an existing media repository. STD is performed from word lattices generated offline using an automatic speech recognition (ASR) system configur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9acb733859f2347c6543f7e335cbe975
https://doi.org/10.1109/icassp.2010.5494982

Zobrazit plný text záznamu

Towards domain independence in machine aided human translation

Autor: Richard Rose, Aarthi M. Reddy

Publikováno v: INTERSPEECH

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b7ad40b8cf4eee24217979effc72cbbd
https://doi.org/10.21437/interspeech.2008-601

Zobrazit plný text záznamu

Integration of ASR and machine translation models in a document translation task

Autor: Alain Désilets, Aarthi M. Reddy, Richard Rose

Publikováno v: INTERSPEECH

This paper is concerned with the problem of machine aided human language translation. It addresses a translation scenario where a human translator dictates the spoken language translation of a source language text into an automatic speech dictation s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a5da1a5f9805e1b67dad8075ebdc092
https://doi.org/10.21437/interspeech.2007-646

Zobrazit plný text záznamu

A minimum mean squared error estimator for single channel speaker separation

Autor: Aarthi M. Reddy, Bhiksha Raj

Publikováno v: INTERSPEECH

The problem of separating out the signals for multiple speakers from a single mixed recording has received considerable atten- tio ni n recent times. Most current techniques are based on the principle of masking :i n order the separate out the signal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6aebb2674a18751f519304116f6c19f1
https://doi.org/10.21437/interspeech.2004-394

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání