Conference paper

KARAFIÁT Martin, BASKAR Murali K., SZŐKE Igor, MALENOVSKÝ Vladimír, VESELÝ Karel, GRÉZL František, BURGET Lukáš and ČERNOCKÝ Jan. BUT OpenSAT 2017 speech recognition system. In: Proceedings of Interspeech 2018. Hyderabad: International Speech Communication Association, 2018, pp. 2638-2642. ISSN 1990-9770. Available from:
Publication language:english
Original title:BUT OpenSAT 2017 speech recognition system
Title (cs):VUT systém rozpoznávání řeči pro OpenSAT 2017
Proceedings:Proceedings of Interspeech 2018
Conference:Interspeech 2018
Place:Hyderabad, IN
Journal:Proceedings of Interspeech - on line, Vol. 2018, No. 9, BAIXAS, FR
Publisher:International Speech Communication Association
speech recognition, multilingual training, BLSTM, data augmentation, robustness
(ASR) systems for two domains in OpenSAT evaluations: Low Resourced Languages and Public Safety Communications. The first was challenging due to lack of training data, therefore multilingual approaches for BLSTM training were employed and recently published Residual Memory Networks requiring less training data were used. Combination of both approaches led to superior performance. The second domain was challenging due to recording in extreme conditions: specific channel, speaker under stress, high levels of noise. A data augmentation process was very important to get reasonably good performance.
   author = {Martin Karafi{\'{a}}t and K. Murali Baskar and
	Igor Sz{\H{o}}ke and Vladim{\'{i}}r
	Malenovsk{\'{y}} and Karel Vesel{\'{y}} and
	Franti{\v{s}}ek Gr{\'{e}}zl and Luk{\'{a}}{\v{s}}
	Burget and Jan {\v{C}}ernock{\'{y}}},
   title = {BUT OpenSAT 2017 speech recognition system},
   pages = {2638--2642},
   booktitle = {Proceedings of Interspeech 2018},
   journal = {Proceedings of Interspeech - on line},
   volume = {2018},
   number = {9},
   year = {2018},
   location = {Hyderabad, IN},
   publisher = {International Speech Communication Association},
   ISSN = {1990-9770},
   doi = {10.21437/Interspeech.2018-2457},
   language = {english},
   url = {}

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