Bilingual Speech Recognition by Estimating Speaker Geometry from Video Data

Autor:	Marios S. Pattichis, Antonio Gomez, Sylvia Celedón-Pattichis, Carlos LopezLeiva, Venkatesh Jatla, Mario Esparza, Luis Sanchez Tapia
Rok vydání:	2021
Předmět:	Background noise Then test Computer science Interactive video Speech recognition Geometry Video processing Student learning
Zdroj:	Computer Analysis of Images and Patterns ISBN: 9783030891275 CAIP (1)
DOI:	10.1007/978-3-030-89128-2_8
Popis:	Speech recognition is very challenging in student learning environments that are characterized by significant cross-talk and background noise. To address this problem, we present a bilingual speech recognition system that uses an interactive video analysis system to estimate the 3D speaker geometry for realistic audio simulations. We demonstrate the use of our system in generating a complex audio dataset that contains significant cross-talk and background noise that approximate real-life classroom recordings. We then test our proposed system with real-life recordings.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::972c6ba425c53ddf156247ba6ae2c450 https://doi.org/10.1007/978-3-030-89128-2_8 Zobrazit plný text záznamu