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Leveraging Large Language Models for Exploiting ASR Uncertainty

Leveraging Large Language Models for Exploiting ASR Uncertainty

9 September 2023
Pranay Dighe
Yi Su
Shangshang Zheng
Yunshu Liu
Vineet Garg
Xiaochuan Niu
Ahmed H. Tewfik
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Papers citing "Leveraging Large Language Models for Exploiting ASR Uncertainty"

11 / 11 papers shown
Title
Can Generative Large Language Models Perform ASR Error Correction?
Can Generative Large Language Models Perform ASR Error Correction?
Rao Ma
Mengjie Qian
Potsawee Manakul
Mark Gales
Kate Knill
AuLLM
KELM
48
56
0
09 Jul 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng
Wei-Lin Chiang
Ying Sheng
Siyuan Zhuang
Zhanghao Wu
...
Dacheng Li
Eric Xing
Haotong Zhang
Joseph E. Gonzalez
Ion Stoica
ALM
OSLM
ELM
312
4,288
0
09 Jun 2023
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken
  Language Understanding
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
Mutian He
Philip N. Garner
ELM
AI4MH
LRM
72
23
0
22 May 2023
Device-Directed Speech Detection: Regularization via Distillation for
  Weakly-Supervised Models
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models
Vineet Garg
Ognjen Rudovic
Pranay Dighe
Ahmed Hussen Abdelaziz
Erik Marchi
Saurabh N. Adya
C. Dhir
Ahmed H. Tewfik
42
4
0
30 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
740
9,267
0
28 Jan 2022
An Explanation of In-context Learning as Implicit Bayesian Inference
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie
Aditi Raghunathan
Percy Liang
Tengyu Ma
ReLM
BDL
VPVLM
LRM
177
746
0
03 Nov 2021
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELM
ALM
205
5,454
0
07 Jul 2021
Broadcasted Residual Learning for Efficient Keyword Spotting
Broadcasted Residual Learning for Efficient Keyword Spotting
Byeonggeun Kim
Simyung Chang
Jinkyu Lee
Dooyong Sung
51
122
0
08 Jun 2021
Keyword Transformer: A Self-Attention Model for Keyword Spotting
Keyword Transformer: A Self-Attention Model for Keyword Spotting
Axel Berg
Mark O'Connor
M. T. Cruz
56
135
0
01 Apr 2021
Learning Efficient Representations for Keyword Spotting with Triplet
  Loss
Learning Efficient Representations for Keyword Spotting with Triplet Loss
R. Vygon
N. Mikhaylovskiy
DML
SSL
133
64
0
12 Jan 2021
Conformer: Convolution-augmented Transformer for Speech Recognition
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati
James Qin
Chung-Cheng Chiu
Niki Parmar
Yu Zhang
...
Wei Han
Shibo Wang
Zhengdong Zhang
Yonghui Wu
Ruoming Pang
212
3,119
0
16 May 2020
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