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Spoken Language Understanding on the Edge

arXiv 1810.12735 ↗First posted 30 Oct 2018cs.CL cs.LG cs.SDcited by 27

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Abstract (arXiv)

We consider the problem of performing Spoken Language Understanding (SLU) on small devices typical of IoT applications. Our contributions are twofold. First, we outline the design of an embedded, private-by-design SLU system and show that it has performance on par with cloud-based commercial solutions. Second, we release the datasets used in our experiments in the interest of reproducibility and in the hope that they can prove useful to the SLU community.

Key facts. Cited by 27 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Oct 2018.

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Citing papers per year: 2021: 5; 2022: 9; 2023: 4; 2024: 6; 2025: 3.

27 papers.

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  1. 2022MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languagescited by 146
  2. 2023BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writingcited by 79
  3. 2024Self-Supervised Speech Representations are More Phonetic than Semanticcited by 71
  4. 2021ESPnet-SLU: Advancing Spoken Language Understanding through ESPnetcited by 53
  5. 2022A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understandingcited by 18
  6. 2021Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numberscited by 11
  7. 2021Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understandingcited by 11
  8. 2023UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructionscited by 9
  9. 2024On the Evaluation of Speech Foundation Models for Spoken Language Understandingcited by 9
  10. 2021Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputscited by 8
  11. 2024Sonos Voice Control Bias Assessment Dataset: A Methodology for Demographic Bias Assessment in Voice Assistantscited by 6
  12. 2021Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systemscited by 4
15 more
  1. 2022On Building Spoken Language Understanding Systems for Low Resourced Languagescited by 4
  2. 2023Multimodal Audio-textual Architecture for Robust Spoken Language Understandingcited by 3
  3. 2022Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systemscited by 2
  4. 2022Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text modelscited by 2
  5. 2023Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understandingcited by 2
  6. 2024MSNER: A Multilingual Speech Dataset for Named Entity Recognitioncited by 2
  7. 2024Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Modelcited by 2
  8. 2025Safeguarding Privacy in Edge Speech Understanding with Tiny Foundation Modelscited by 2
  9. 2022Low-bit Shift Network for End-to-End Spoken Language Understandingcited by 1
  10. 2025Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understandingcited by 1
  11. 2022A Study of Different Ways to Use The Conformer Model For Spoken Language Understandingcited by 0
  12. 2022Jaco: An Offline Running Privacy-aware Voice Assistantcited by 0
  13. 2022Bidirectional Representations for Low Resource Spoken Language Understandingcited by 0
  14. 2024Digits micro-model for accurate and secure transactionscited by 0
  15. 2025"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understandingcited by 0