CONF
valente:Interspeech:2007/IDIAP
Hierarchical Neural Networks Feature Extraction for LVCSR system
Valente, Fabio
Vepa, Jithendra
Plahl, Christian
Gollan, Christian
Hermansky, Hynek
Schlüter, Ralf
EXTERNAL
https://publications.idiap.ch/attachments/papers/2007/valente-Interspeech-2007.pdf
PUBLIC
https://publications.idiap.ch/index.php/publications/showcite/valente:rr07-08
Related documents
Interspeech 2007
2007
IDIAP-RR 07-08
This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR systems for Meetings data (RT05 evaluation data) and for Arabic Broadcast News (BNAT05 evaluation data). The hierarchical NNs outperforms the single NN features consistently on different type of data and tasks and provides significant improvements w.r.t. respective baselines systems. Best result is obtained when different time resolutions are used at different level of the hierarchy.
REPORT
valente:rr07-08/IDIAP
Hierarchical Neural Networks Feature Extraction for LVCSR system
Valente, Fabio
Vepa, Jithendra
Plahl, Christian
Gollan, Christian
Hermansky, Hynek
Schlüter, Ralf
EXTERNAL
https://publications.idiap.ch/attachments/reports/2007/valente-idiap-rr-07-08.pdf
PUBLIC
Idiap-RR-08-2007
2007
IDIAP
Submitted for publication
This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR systems for Meetings data (RT05 evaluation data) and for Arabic Broadcast News (BNAT05 evaluation data). The hierarchical NNs outperforms the single NN features consistently on different type of data and tasks and provides significant improvements w.r.t. respective baselines systems. Best result is obtained when different time resolutions are used at different level of the hierarchy.