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Recent Advances in End-to-End Spoken Language Understanding

arXiv 1909.13332 ↗First posted 29 Sep 2019cs.CL eess.AScited by 13

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Abstract (arXiv)

This work investigates spoken language understanding (SLU) systems in the scenario when the semantic information is extracted directly from the speech signal by means of a single end-to-end neural network model. Two SLU tasks are considered: named entity recognition (NER) and semantic slot filling (SF). For these tasks, in order to improve the model performance, we explore various techniques including speaker adaptation, a modification of the connectionist temporal classification (CTC) training criterion, and sequential pretraining.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Sep 2019.

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Citing papers per year: 2021: 8; 2022: 2; 2023: 2; 2024: 1.

13 papers.

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  1. 2021SUPERB: Speech processing Universal PERformance Benchmarkcited by 652
  2. 2021A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understandingcited by 82
  3. 2021LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speechcited by 46
  4. 2024A Large-Scale Evaluation of Speech Foundation Modelscited by 38
  5. 2022SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Taskscited by 34
  6. 2021End-to-End Spoken Language Understanding for Generalized Voice Assistantscited by 17
  7. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  8. 2021FANS: Fusing ASR and NLU for on-device SLUcited by 8
  9. 2021Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learningcited by 6
  10. 2021Speech2Slot: An End-to-End Knowledge-based Slot Filling from Speechcited by 6
  11. 2021Characterizing the adversarial vulnerability of speech self-supervised learningcited by 5
  12. 2023E2E Spoken Entity Extraction for Virtual Agentscited by 0
1 more
  1. 2023Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systemscited by 0