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Knowledge Distillation from BERT Transformer to Speech Transformer for
  Intent Classification

Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification

5 August 2021
Yiding Jiang
Bidisha Sharma
Maulik C. Madhavi
Haizhou Li
ArXivPDFHTML

Papers citing "Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification"

14 / 14 papers shown
Title
Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
Stanley Mugisha
Rashid Kisitu
Florence Tushabe
19
0
0
21 Apr 2025
Large Language Model-assisted Speech and Pointing Benefits Multiple 3D
  Object Selection in Virtual Reality
Large Language Model-assisted Speech and Pointing Benefits Multiple 3D Object Selection in Virtual Reality
Junlong Chen
Jens Grubert
Per Ola Kristensson
28
0
0
28 Oct 2024
Automatic Speech Recognition with BERT and CTC Transformers: A Review
Automatic Speech Recognition with BERT and CTC Transformers: A Review
Noussaiba Djeffal
Hamza Kheddar
Djamel Addou
A. Mazari
Yassine Himeur
37
16
0
12 Oct 2024
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU
Yan Li
So-Eon Kim
Seong-Bae Park
S. Han
25
0
0
15 Aug 2024
An approach to optimize inference of the DIART speaker diarization
  pipeline
An approach to optimize inference of the DIART speaker diarization pipeline
Roman Aperdannier
Sigurd Schacht
Alexander Piazza
37
0
0
05 Aug 2024
Domain Adaptation in Intent Classification Systems: A Review
Domain Adaptation in Intent Classification Systems: A Review
Jesse Atuhurra
Hidetaka Kamigaito
Taro Watanabe
Eric Nichols
42
0
0
26 Mar 2024
YFlows: Systematic Dataflow Exploration and Code Generation for
  Efficient Neural Network Inference using SIMD Architectures on CPUs
YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs
Cyrus Zhou
Zack Hassman
Ruize Xu
Dhirpal Shah
Vaughn Richard
Yanjing Li
32
1
0
01 Oct 2023
Improving End-to-End SLU performance with Prosodic Attention and
  Distillation
Improving End-to-End SLU performance with Prosodic Attention and Distillation
Shangeth Rajaa
29
2
0
14 May 2023
Skit-S2I: An Indian Accented Speech to Intent dataset
Skit-S2I: An Indian Accented Speech to Intent dataset
Shangeth Rajaa
Swaraj Dalmia
Kumarmanas Nethil
20
5
0
26 Dec 2022
Bottleneck Low-rank Transformers for Low-resource Spoken Language
  Understanding
Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding
Pu Wang
Hugo Van hamme
VLM
21
4
0
28 Jun 2022
Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box
  Floating-Point Transformer Models
Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models
Ali Hadi Zadeh
Mostafa Mahmoud
Ameer Abdelhadi
Andreas Moshovos
MQ
24
31
0
23 Mar 2022
Exploring Teacher-Student Learning Approach for Multi-lingual
  Speech-to-Intent Classification
Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification
Bidisha Sharma
Maulik C. Madhavi
Xuehao Zhou
Haizhou Li
17
2
0
28 Sep 2021
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and
  language Models for Intent Classification
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification
Bidisha Sharma
Maulik C. Madhavi
Haizhou Li
21
19
0
15 Feb 2021
Unified Vision-Language Pre-Training for Image Captioning and VQA
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou
Hamid Palangi
Lei Zhang
Houdong Hu
Jason J. Corso
Jianfeng Gao
MLLM
VLM
252
927
0
24 Sep 2019
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