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N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR
  Hypotheses

N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses

11 June 2021
Karthik Ganesan
P. Bamdev
Jaivarsan B
Amresh Venugopal
A. Tushar
ArXivPDFHTML

Papers citing "N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses"

8 / 8 papers shown
Title
ASR Error Correction using Large Language Models
ASR Error Correction using Large Language Models
Rao Ma
Mengjie Qian
Mark Gales
Kate Knill
KELM
92
4
0
14 Sep 2024
Adapting Pretrained Transformer to Lattices for Spoken Language
  Understanding
Adapting Pretrained Transformer to Lattices for Spoken Language Understanding
Chao-Wei Huang
Yun-Nung Chen
35
37
0
02 Nov 2020
Jointly Encoding Word Confusion Network and Dialogue Context with BERT
  for Spoken Language Understanding
Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding
Chen Liu
Su Zhu
Zijian Zhao
Ruisheng Cao
Lu Chen
Kai Yu
68
19
0
24 May 2020
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
212
6,555
0
05 Nov 2019
A Hierarchical Decoding Model For Spoken Language Understanding From
  Unaligned Data
A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned Data
Zijian Zhao
Su Zhu
Kai Yu
29
16
0
09 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
94,770
0
11 Oct 2018
Encoding Word Confusion Networks with Recurrent Neural Networks for
  Dialog State Tracking
Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking
Glorianna Jagfeld
Ngoc Thang Vu
38
13
0
18 Jul 2017
Exploiting Sentence and Context Representations in Deep Neural Models
  for Spoken Language Understanding
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding
L. Rojas-Barahona
Milica Gasic
N. Mrksic
Pei-hao Su
Stefan Ultes
Tsung-Hsien Wen
S. Young
47
27
0
13 Oct 2016
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