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Leveraging Pretrained ASR Encoders for Effective and Efficient
  End-to-End Speech Intent Classification and Slot Filling

Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling

Interspeech (Interspeech), 2023
13 July 2023
Hengguan Huang
Jagadeesh Balam
Boris Ginsburg
ArXiv (abs)PDFHTML

Papers citing "Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling"

3 / 3 papers shown
Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech data
Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech data
Youngwon Choi
Jaeyoon Jung
Hyeonyu Kim
Huu-Kim Nguyen
Hwayeon Kim
109
0
0
18 Sep 2025
NEST: Self-supervised Fast Conformer as All-purpose Seasoning to Speech
  Processing Tasks
NEST: Self-supervised Fast Conformer as All-purpose Seasoning to Speech Processing TasksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
He Huang
Taejin Park
Kunal Dhawan
Ivan Medennikov
Krishna Puvvada
Nithin Rao Koluguri
Weiqing Wang
Jagadeesh Balam
Boris Ginsburg
SSLAI4TS
320
4
0
23 Aug 2024
Speech Understanding on Tiny Devices with A Learning Cache
Speech Understanding on Tiny Devices with A Learning CacheACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2023
A. Benazir
Zhiming Xu
Felix Xiaozhu Lin
455
7
0
30 Nov 2023
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