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1904.10045
Cited By

Automatic Spelling Correction with Transformer for CTC-based End-to-End
Speech Recognition

Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition

27 March 2019

ArXiv (abs)PDF HTML

Papers citing "Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition"

5 / 5 papers shown

HyPoradise: An Open Baseline for Generative Speech Recognition with
Large Language Models

HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023

Yuchen Hu

Chao-Han Huck Yang

Sabato Marco Siniscalchi

212

61

0

27 Sep 2023

N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses
and Constrained Decoding Space

N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding SpaceInterspeech (Interspeech), 2023

Rao Ma

250

49

0

01 Mar 2023

Hybrid phonetic-neural model for correction in speech recognition
systems

Hybrid phonetic-neural model for correction in speech recognition systems

Rafael Viana Cámara

Mario Campos Soberanis

Diego Campos-Sobrino

69

1

0

12 Feb 2021

Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin
Speech Recognition with a Syllable-to-Character Converter

Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character ConverterSpoken Language Technology Workshop (SLT), 2020

Lei Xie

131

34

0

17 Nov 2020

Reduce and Reconstruct: ASR for Low-Resource Phonetic Languages

Reduce and Reconstruct: ASR for Low-Resource Phonetic LanguagesInterspeech (Interspeech), 2020

124

6

0

19 Oct 2020