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Improving End-to-End Speech-to-Intent Classification with Reptile

Improving End-to-End Speech-to-Intent Classification with Reptile

5 August 2020
Yusheng Tian
P. Gorinski
    VLM
ArXivPDFHTML

Papers citing "Improving End-to-End Speech-to-Intent Classification with Reptile"

5 / 5 papers shown
Title
Device Directedness with Contextual Cues for Spoken Dialog Systems
Device Directedness with Contextual Cues for Spoken Dialog Systems
Dhanush Bekal
S. Srinivasan
S. Bodapati
S. Ronanki
Katrin Kirchhoff
31
1
0
23 Nov 2022
Finstreder: Simple and fast Spoken Language Understanding with Finite
  State Transducers using modern Speech-to-Text models
Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
Daniel Bermuth
Alexander Poeppel
W. Reif
19
7
0
29 Jun 2022
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
Siddhant Arora
Siddharth Dalmia
Pavel Denisov
Xuankai Chang
Yushi Ueda
...
Karthik Ganesan
Brian Yan
Ngoc Thang Vu
A. Black
Shinji Watanabe
VLM
25
74
0
29 Nov 2021
Integrating Dialog History into End-to-End Spoken Language Understanding
  Systems
Integrating Dialog History into End-to-End Spoken Language Understanding Systems
Jatin Ganhotra
Samuel Thomas
H. Kuo
Sachindra Joshi
G. Saon
Zoltán Tüske
Brian Kingsbury
22
10
0
18 Aug 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
1