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LJOLJE ANDREJ

Overview
  • Total Patents
    17
About

LJOLJE ANDREJ has a total of 17 patent applications. Its first patent ever was published in 2006. It filed its patents most often in United States. Its main competitors in its focus markets computer technology and audio-visual technology are FRAUNKHOFER GEZELL SHAFT TSUR FERDERUNG DER ANGEVANDTEN, DOLBI INTERNESHNL AB and XINSHIJIA TECH BEIJING CO LTD.

Patent filings in countries

World map showing LJOLJE ANDREJs patent filings in countries
# Country Total Patents
#1 United States 17

Patent filings per year

Chart showing LJOLJE ANDREJs patent filings per year from 1900 to 2020

Focus industries

Top inventors

# Name Total Patents
#1 Ljolje Andrej 17
#2 Conkie Alistair D 6
#3 Syrdal Ann K 4
#4 Caseiro Diamantino Antonio 3
#5 Gilbert Mazin 2
#6 Syrdal Ann 2
#7 Conkie Alistair 2
#8 Mishra Taniya 1
#9 Goffin Vincent 1

Latest patents

Publication Filing date Title
US2012290298A1 System and method for optimizing speech recognition and natural language parameters with user feedback
US2011137650A1 System and method for training adaptation-specific acoustic models for automatic speech recognition
US2011137653A1 Adapting language models with a bit mask for a subset of related words
US2011077942A1 System and method for handling repeat queries due to wrong ASR output by modifying an acoustic, a language and a semantic model
US2011066433A1 System and method for personalization of acoustic models for automatic speech recognition
US2010312560A1 System and method for adapting automatic speech recognition pronunciation by acoustic model restructuring
US2010312556A1 System and method for speech personalization by need
US2010145707A1 System and method for pronunciation modeling
US2010131264A1 System and method for handling missing speech data
US2008232775A1 Systems and methods of providing modified media content
US2008235741A1 Systems and methods of providing modified media content
US2008226256A1 Systems and methods of providing modified media content
US8214213B1 Speech recognition based on pronunciation modeling