I wish to thank Dr. Tech. Petri Salmela for advice and persistent guidance throughout the writing process. I am also grateful for Professor Jukka Saarinen, Professor Jaakko Astola and Lic. Tech. Janne Suontausta for advice and contructive criticism. I express my gratitude to all the members of the multilingual speech recognition project both at the Institute of Signal Processing and at the Institute of Digital and Computer Systems. Furthermore, thanks goes to all the colleague researchers in the Audio Research Group. It has been a pleasure working with you all
We address the problem in signal classification applications, such as automatic speech recognition (...
We investigate the performance of our audio-visual speech recognition system in both English and Gre...
We address the problem in signal classification applications, such as automatic speech recognition (...
I wish to thank Dr. Tech. Petri Salmela for advice and persistent guidance throughout the writing pr...
This paper introduces two approximations of the Kullback-Leibler divergence for hidden Markov models...
Natural language processing enables computer and machines to understand and speak human languages. S...
The purpose with this final master degree project was to develop a speech recognition tool, to make ...
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interf...
© 2017. The Author(s). For purposes of automated speech recognition in under-resourced environments,...
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of ...
During the last decade the field of speech recognition has used the theory of hidden Markov models (...
The speech recognition field is one of the most challenging fields that has faced scientists for a l...
Two speech recognition methods: Dynamic Time Warping and Hidden Markov model based methods were inve...
The EMIME European project is conducting research in the development of technologies for mobile, per...
Abstract – The paper presents theoretical and experimental issues related with Maximum Mutual Inform...
We address the problem in signal classification applications, such as automatic speech recognition (...
We investigate the performance of our audio-visual speech recognition system in both English and Gre...
We address the problem in signal classification applications, such as automatic speech recognition (...
I wish to thank Dr. Tech. Petri Salmela for advice and persistent guidance throughout the writing pr...
This paper introduces two approximations of the Kullback-Leibler divergence for hidden Markov models...
Natural language processing enables computer and machines to understand and speak human languages. S...
The purpose with this final master degree project was to develop a speech recognition tool, to make ...
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interf...
© 2017. The Author(s). For purposes of automated speech recognition in under-resourced environments,...
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of ...
During the last decade the field of speech recognition has used the theory of hidden Markov models (...
The speech recognition field is one of the most challenging fields that has faced scientists for a l...
Two speech recognition methods: Dynamic Time Warping and Hidden Markov model based methods were inve...
The EMIME European project is conducting research in the development of technologies for mobile, per...
Abstract – The paper presents theoretical and experimental issues related with Maximum Mutual Inform...
We address the problem in signal classification applications, such as automatic speech recognition (...
We investigate the performance of our audio-visual speech recognition system in both English and Gre...
We address the problem in signal classification applications, such as automatic speech recognition (...