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Gated Embeddings in End-to-End Speech Recognition for
  Conversational-Context Fusion

Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion

27 June 2019
Suyoun Kim
Siddharth Dalmia
Florian Metze
ArXivPDFHTML

Papers citing "Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion"

7 / 7 papers shown
Title
Improved Long-Form Speech Recognition by Jointly Modeling the Primary
  and Non-primary Speakers
Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers
Guru Prakash Arumugam
Shuo-yiin Chang
Tara N. Sainath
Rohit Prabhavalkar
Quan Wang
Shaan Bijwadia
29
3
0
18 Dec 2023
Towards Effective and Compact Contextual Representation for Conformer
  Transducer Speech Recognition Systems
Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems
Mingyu Cui
Jiawen Kang
Jiajun Deng
Xiaoyue Yin
Yutao Xie
Xie Chen
Xunying Liu
35
8
0
23 Jun 2023
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
33
74
0
29 Nov 2021
Cross-utterance Reranking Models with BERT and Graph Convolutional
  Networks for Conversational Speech Recognition
Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition
Shih-Hsuan Chiu
Tien-Hong Lo
Fu-An Chao
Berlin Chen
BDL
33
10
0
13 Jun 2021
Adapting Long Context NLM for ASR Rescoring in Conversational Agents
Adapting Long Context NLM for ASR Rescoring in Conversational Agents
Ashish Shenoy
S. Bodapati
Monica Sunkara
S. Ronanki
Katrin Kirchhoff
29
21
0
21 Apr 2021
Transformer Language Models with LSTM-based Cross-utterance Information
  Representation
Transformer Language Models with LSTM-based Cross-utterance Information Representation
G. Sun
C. Zhang
P. Woodland
76
32
0
12 Feb 2021
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Hayato Futami
Hirofumi Inaguma
Sei Ueno
Masato Mimura
S. Sakai
Tatsuya Kawahara
24
50
0
09 Aug 2020
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