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Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in
  End-to-End Models
v1v2v3 (latest)

Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models

Interspeech (Interspeech), 2019
21 June 2019
Ke Hu
A. Bruguier
Tara N. Sainath
Rohit Prabhavalkar
Golan Pundak
ArXiv (abs)PDFHTML

Papers citing "Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models"

12 / 12 papers shown
A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus
A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus
Michael Scott
Siyu Liang
Alicia Wassink
Gina-Anne Levow
42
0
0
26 Oct 2025
Deferred NAM: Low-latency Top-K Context Injection via Deferred Context
  Encoding for Non-Streaming ASR
Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR
Zelin Wu
Gan Song
Christopher Li
Pat Rondon
Zhong Meng
...
D. Caseiro
Golan Pundak
Tsendsuren Munkhdalai
Angad Chandorkar
Rohit Prabhavalkar
311
5
0
15 Apr 2024
Mitigating the Linguistic Gap with Phonemic Representations for Robust
  Multilingual Language Understanding
Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding
Haeji Jung
Changdae Oh
Jooeon Kang
Jimin Sohn
Kyungwoo Song
Jinkyu Kim
David R. Mortensen
179
0
0
22 Feb 2024
SeACo-Paraformer: A Non-Autoregressive ASR System with Flexible and
  Effective Hotword Customization Ability
SeACo-Paraformer: A Non-Autoregressive ASR System with Flexible and Effective Hotword Customization AbilityIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Xian Shi
Yexin Yang
Zerui Li
Yanni Chen
Zhifu Gao
Shiliang Zhang
273
21
0
07 Aug 2023
From English to More Languages: Parameter-Efficient Model Reprogramming
  for Cross-Lingual Speech Recognition
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Chao-Han Huck Yang
Yue Liu
Yu Zhang
Nanxin Chen
Rohit Prabhavalkar
Tara N. Sainath
Trevor Strohman
186
32
0
19 Jan 2023
Differentiable Allophone Graphs for Language-Universal Speech
  Recognition
Differentiable Allophone Graphs for Language-Universal Speech RecognitionInterspeech (Interspeech), 2021
Brian Yan
Siddharth Dalmia
David R. Mortensen
Florian Metze
Shinji Watanabe
169
12
0
24 Jul 2021
ATCSpeechNet: A multilingual end-to-end speech recognition framework for
  air traffic control systems
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systemsApplied Soft Computing (Appl Soft Comput), 2021
Yi Lin
Bo Yang
Linchao Li
Dongyue Guo
Jianwei Zhang
Hu Chen
Yi Zhang
173
32
0
17 Feb 2021
Adversarial Meta Sampling for Multilingual Low-Resource Speech
  Recognition
Adversarial Meta Sampling for Multilingual Low-Resource Speech RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2020
Yubei Xiao
Ke Gong
Pan Zhou
Guolin Zheng
Xiaodan Liang
Liang Lin
211
35
0
22 Dec 2020
The SLT 2021 children speech recognition challenge: Open datasets, rules
  and baselines
The SLT 2021 children speech recognition challenge: Open datasets, rules and baselinesSpoken Language Technology Workshop (SLT), 2020
Fan Yu
Zhuoyuan Yao
Xiong Wang
Keyu An
Lei Xie
Zhijian Ou
Bo Liu
Xiulin Li
Guanqiong Miao
189
23
0
13 Nov 2020
Class LM and word mapping for contextual biasing in End-to-End ASR
Class LM and word mapping for contextual biasing in End-to-End ASRInterspeech (Interspeech), 2020
Rongqing Huang
Ossama Abdel-Hamid
Xinwei Li
G. Evermann
238
58
0
10 Jul 2020
Improving Proper Noun Recognition in End-to-End ASR By Customization of
  the MWER Loss Criterion
Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion
Cal Peyser
Tara N. Sainath
Golan Pundak
147
14
0
19 May 2020
A systematic comparison of grapheme-based vs. phoneme-based label units
  for encoder-decoder-attention models
A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models
Mohammad Zeineldeen
Albert Zeyer
Wei Zhou
T. Ng
Ralf Schluter
Hermann Ney
209
2
0
19 May 2020
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