FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217767527> ?p ?o ?g. }

• W3217767527 abstract "As Automatic Speech Processing (ASR) systems are getting better, there is an increasing interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. However, there are few open source toolkits that can be used to generate reproducible results on different Spoken Language Understanding (SLU) benchmarks. Hence, there is a need to build an open source standard that can be used to have a faster start into SLU research. We present ESPnet-SLU, which is designed for quick development of spoken language understanding in a single framework. ESPnet-SLU is a project inside end-to-end speech processing toolkit, ESPnet, which is a widely used open-source standard for various speech processing tasks like ASR, Text to Speech (TTS) and Speech Translation (ST). We enhance the toolkit to provide implementations for various SLU benchmarks that enable researchers to seamlessly mix-and-match different ASR and NLU models. We also provide pretrained models with intensively tuned hyper-parameters that can match or even outperform the current state-of-the-art performances. The toolkit is publicly available at https://github.com/espnet/espnet." @default.
• W3217767527 created "2021-12-06" @default.
• W3217767527 creator A5001291873 @default.
• W3217767527 creator A5020700841 @default.
• W3217767527 creator A5021201726 @default.
• W3217767527 creator A5046364646 @default.
• W3217767527 creator A5047892839 @default.
• W3217767527 creator A5050058892 @default.
• W3217767527 creator A5065075209 @default.
• W3217767527 creator A5068873086 @default.
• W3217767527 creator A5074415592 @default.
• W3217767527 creator A5081451455 @default.
• W3217767527 creator A5083149415 @default.
• W3217767527 creator A5087513674 @default.
• W3217767527 creator A5088696834 @default.
• W3217767527 date "2022-05-23" @default.
• W3217767527 modified "2023-09-27" @default.
• W3217767527 title "ESPnet-SLU: Advancing Spoken Language Understanding Through ESPnet" @default.
• W3217767527 cites W1989271290 @default.
• W3217767527 cites W2128970689 @default.
• W3217767527 cites W2146334809 @default.
• W3217767527 cites W2166637769 @default.
• W3217767527 cites W2559260703 @default.
• W3217767527 cites W2766219058 @default.
• W3217767527 cites W2917937435 @default.
• W3217767527 cites W2933138175 @default.
• W3217767527 cites W2936774411 @default.
• W3217767527 cites W2951910991 @default.
• W3217767527 cites W2962780374 @default.
• W3217767527 cites W2962803631 @default.
• W3217767527 cites W2963968160 @default.
• W3217767527 cites W2964331270 @default.
• W3217767527 cites W2971351151 @default.
• W3217767527 cites W2972430654 @default.
• W3217767527 cites W2972541922 @default.
• W3217767527 cites W2972818416 @default.
• W3217767527 cites W2979826702 @default.
• W3217767527 cites W2981269614 @default.
• W3217767527 cites W3016160783 @default.
• W3217767527 cites W3037217258 @default.
• W3217767527 cites W3041561163 @default.
• W3217767527 cites W3092368332 @default.
• W3217767527 cites W3096251052 @default.
• W3217767527 cites W3097286738 @default.
• W3217767527 cites W3097777922 @default.
• W3217767527 cites W3100460087 @default.
• W3217767527 cites W3110740243 @default.
• W3217767527 cites W3151851237 @default.
• W3217767527 cites W3161223924 @default.
• W3217767527 cites W3197314576 @default.
• W3217767527 cites W3197674197 @default.
• W3217767527 cites W3197697656 @default.
• W3217767527 cites W3198361190 @default.
• W3217767527 cites W3198555173 @default.
• W3217767527 cites W3198594919 @default.
• W3217767527 cites W3209059054 @default.
• W3217767527 doi "https://doi.org/10.1109/icassp43922.2022.9747674" @default.
• W3217767527 hasPublicationYear "2022" @default.
• W3217767527 type Work @default.
• W3217767527 sameAs 3217767527 @default.
• W3217767527 citedByCount "13" @default.
• W3217767527 countsByYear W32177675272022 @default.
• W3217767527 countsByYear W32177675272023 @default.
• W3217767527 crossrefType "proceedings-article" @default.
• W3217767527 hasAuthorship W3217767527A5001291873 @default.
• W3217767527 hasAuthorship W3217767527A5020700841 @default.
• W3217767527 hasAuthorship W3217767527A5021201726 @default.
• W3217767527 hasAuthorship W3217767527A5046364646 @default.
• W3217767527 hasAuthorship W3217767527A5047892839 @default.
• W3217767527 hasAuthorship W3217767527A5050058892 @default.
• W3217767527 hasAuthorship W3217767527A5065075209 @default.
• W3217767527 hasAuthorship W3217767527A5068873086 @default.
• W3217767527 hasAuthorship W3217767527A5074415592 @default.
• W3217767527 hasAuthorship W3217767527A5081451455 @default.
• W3217767527 hasAuthorship W3217767527A5083149415 @default.
• W3217767527 hasAuthorship W3217767527A5087513674 @default.
• W3217767527 hasAuthorship W3217767527A5088696834 @default.
• W3217767527 hasBestOaLocation W32177675272 @default.
• W3217767527 hasConcept C154945302 @default.
• W3217767527 hasConcept C195324797 @default.
• W3217767527 hasConcept C199360897 @default.
• W3217767527 hasConcept C203005215 @default.
• W3217767527 hasConcept C204321447 @default.
• W3217767527 hasConcept C26713055 @default.
• W3217767527 hasConcept C2776230583 @default.
• W3217767527 hasConcept C2777904410 @default.
• W3217767527 hasConcept C2779439875 @default.
• W3217767527 hasConcept C2780366754 @default.
• W3217767527 hasConcept C28490314 @default.
• W3217767527 hasConcept C3018397939 @default.
• W3217767527 hasConcept C41008148 @default.
• W3217767527 hasConcept C61328038 @default.
• W3217767527 hasConceptScore W3217767527C154945302 @default.
• W3217767527 hasConceptScore W3217767527C195324797 @default.
• W3217767527 hasConceptScore W3217767527C199360897 @default.
• W3217767527 hasConceptScore W3217767527C203005215 @default.
• W3217767527 hasConceptScore W3217767527C204321447 @default.
• W3217767527 hasConceptScore W3217767527C26713055 @default.
• W3217767527 hasConceptScore W3217767527C2776230583 @default.
• W3217767527 hasConceptScore W3217767527C2777904410 @default.

• next