Abstract—Julius is an open-source large-vocabulary speech recognition software used for both academic research and in-dustrial applications. It executes real-time speech recognition of a 60k-word dictation task on low-spec PCs with small footprint, and even on embedded devices. Julius supports standard lan-guage models such as statistical N-gram model and rule-based grammars, as well as Hidden Markov Model (HMM) as an acoustic model. One can build a speech recognition system of his own purpose, or can integrate the speech recognition capability to a variety of applications using Julius. This article describes an overview of Julius, major features and specifications, and summarizes the developments conducted in the recent years. I
In order for speech recognizers to deal with increased task perplexity, speaker variation, and envir...
The paper presents a state-of-the-art analysis of developments in speech synthesis. Currently availa...
This research study aims to present a retrospective study about speech recognition systems and artif...
Abstract—Julius is an open-source large-vocabulary speech recognition software used for both academi...
EUROSPEECH2001: the 7th European Conference on Speech Communication and Technology, September 3-7, ...
MMSP2006: IEEE 8th International Workshop on Multimedia Processing, October 3-6, 2006, Victoria, B...
Speech Recognition (SR) gains its popularity in research area as the advance of modern technologies....
Speech Recognition Systems now-a-days use many interdisciplinary technologies ranging from Pattern R...
Summary of potential applications of the International Computer Science Institute's speech recogniti...
ISPACS2006: International Symposium on Intelligent Signal Processing and Communication Systems, Dece...
MMSP2007: IEEE 9th International Workshop on Multimedia Signal Processing, October 1-3, 2007, Crete...
The purpose with this final master degree project was to develop a speech recognition tool, to make ...
Abstract. This work is part of the effort to develop a speech recogni-tion system for Brazilian Port...
Speech recognition has been an important area of research during the past decades. The usage of auto...
ICSLP2004: the 8th International Conference on Spoken Language Processing, October 4-8, 2004, Jeju ...
In order for speech recognizers to deal with increased task perplexity, speaker variation, and envir...
The paper presents a state-of-the-art analysis of developments in speech synthesis. Currently availa...
This research study aims to present a retrospective study about speech recognition systems and artif...
Abstract—Julius is an open-source large-vocabulary speech recognition software used for both academi...
EUROSPEECH2001: the 7th European Conference on Speech Communication and Technology, September 3-7, ...
MMSP2006: IEEE 8th International Workshop on Multimedia Processing, October 3-6, 2006, Victoria, B...
Speech Recognition (SR) gains its popularity in research area as the advance of modern technologies....
Speech Recognition Systems now-a-days use many interdisciplinary technologies ranging from Pattern R...
Summary of potential applications of the International Computer Science Institute's speech recogniti...
ISPACS2006: International Symposium on Intelligent Signal Processing and Communication Systems, Dece...
MMSP2007: IEEE 9th International Workshop on Multimedia Signal Processing, October 1-3, 2007, Crete...
The purpose with this final master degree project was to develop a speech recognition tool, to make ...
Abstract. This work is part of the effort to develop a speech recogni-tion system for Brazilian Port...
Speech recognition has been an important area of research during the past decades. The usage of auto...
ICSLP2004: the 8th International Conference on Spoken Language Processing, October 4-8, 2004, Jeju ...
In order for speech recognizers to deal with increased task perplexity, speaker variation, and envir...
The paper presents a state-of-the-art analysis of developments in speech synthesis. Currently availa...
This research study aims to present a retrospective study about speech recognition systems and artif...