Publication detail

Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks

VILLATORO-TELLO, E. MADIKERI, S. ZULUAGA-GOMEZ, J. SHARMA, B. SARFJOO, S. NIGMATULINA, I. MOTLÍČEK, P. IVANOV, V. GANAPATHIRAJU, A.

Original Title

Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks

Type

conference paper

Language

English

Original Abstract

In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup. We benchmark three types of systems to perform the SLU intent detection task: 1) text-based, 2) lattice-based, and a novel 3) multimodal approach. Our work provides a comprehensive analysis of what could be the achievable performance of different state-of-the-art SLU systems under different circumstances, e.g., automatically- vs. manuallygenerated transcripts. We evaluate the systems on the publicly available SLURP spoken language resource corpus. Our results indicate that using richer forms of Automatic Speech Recognition (ASR) outputs, namely word-consensus-networks, allows the SLU system to improve in comparison to the 1-best setup (5.5% relative improvement). However, crossmodal approaches, i.e., learning from acoustic and text embeddings, obtains performance similar to the oracle setup, a relative improvement of 17.8% over the 1-best configuration, being a recommended alternative to overcome the limitations of working with automatically generated transcripts.

Keywords

Speech Recognition, Human-computer Interaction, Spoken Language Understanding, Word Consensus Networks, Cross-modal Attention

Authors

VILLATORO-TELLO, E.; MADIKERI, S.; ZULUAGA-GOMEZ, J.; SHARMA, B.; SARFJOO, S.; NIGMATULINA, I.; MOTLÍČEK, P.; IVANOV, V.; GANAPATHIRAJU, A.

Released

4. 6. 2023

Publisher

IEEE Signal Processing Society

Location

Rhodes Island

ISBN

978-1-7281-6327-7

Book

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Pages from

1

Pages to

5

Pages count

5

URL

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10095168

BibTex

@inproceedings{BUT187787,
  author="VILLATORO-TELLO, E. and MADIKERI, S. and ZULUAGA-GOMEZ, J. and SHARMA, B. and SARFJOO, S. and NIGMATULINA, I. and MOTLÍČEK, P. and IVANOV, V. and GANAPATHIRAJU, A.",
  title="Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks",
  booktitle="ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
  year="2023",
  pages="1--5",
  publisher="IEEE Signal Processing Society",
  address="Rhodes Island",
  doi="10.1109/ICASSP49357.2023.10095168",
  isbn="978-1-7281-6327-7",
  url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10095168"
}

Documents

villatoro-tello_icassp2023_10095168.pdf