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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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This paper presents the development of language tutoring systems for nonnative speakers by leveraging advanced end-to-end automatic speech recognition (ASR) and proficiency evaluation. Given the frequent errors in non-native speech, high-performance spontaneous speech recognition must be applied. Our systems accurately evaluate pronunciation and speaking fluency and provide feedback on errors by relying on precise transcriptions. End-to-end ASR is implemented and enhanced by using diverse non-native speaker speech data for model training. For performance enhancement, we combine semisupervised and transfer learning techniques using labeled and unlabeled speech data. Automatic proficiency evaluation is performed by a model trained to maximize the statistical correlation between the fluency score manually determined by a human expert and a calculated fluency score. We developed an English tutoring system for Korean elementary students called EBS AI Peng-Talk and a Korean tutoring system for foreigners called KSI Korean AI Tutor. Both systems were deployed by South Korean government agencies.

권호기사

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기사명 저자명 페이지 원문 목차
Towards a small language model powered chain-of-reasoning for open-domain question answering Jihyeon Roh, Minho Kim, Kyoungman Bae p. 11-21

Multimodal audiovisual speech recognition architecture using a three-feature multi-fusion method for noise-robust systems Sanghun Jeon, Jieun Lee, Dohyeon Yeo, Yong-Ju Lee, SeungJun Kim p. 22-34

CR-M-SpanBERT : multiple embedding-based DNN coreference resolution using self-attention SpanBERT Joon-young Jung p. 35-47

AI-based language tutoring systems with end-to-end automatic speech recognition and proficiency evaluation Byung Ok Kang, Hyung-Bae Jeon, Yun Kyung Lee p. 48-58

Named entity recognition using transfer learning and small human- and meta-pseudo-labeled datasets Kyoungman Bae, Joon-Ho Lim p. 59-70

KMSAV : Korean multi-speaker spontaneous audiovisual dataset Kiyoung Park, Changhan Oh, Sunghee Dong p. 71-81

Dual-scale BERT using multi-trait representations for holistic and trait-specific essay grading Minsoo Cho, Jin-Xia Huang, Oh-Woog Kwon p. 82-95

Alzheimer’s disease recognition from spontaneous speech using large language models Jeong-Uk Bang, Seung-Hoon Han, Byung-Ok Kang p. 96-105

Framework for evaluating code generation ability of large language models Sangyeop Yeo, Yu-Seung Ma, Sang Cheol Kim, Hyungkook Jun, Taeho Kim p. 106-117

Joint streaming model for backchannel prediction and automatic speech recognition Yong-Seok Choi, Jeong-Uk Bang, Seung Hi Kim p. 118-126

Spoken-to-written text conversion for enhancement of Korean–English readability and machine translation HyunJung Choi, Muyeol Choi, Seonhui Kim, Yohan Lim, Minkyu Lee, Seung Yun, Donghyun Kim, Sang Hun Kim p. 127-136

Transformer-based reranking for improving Korean morphological analysis systems Jihee Ryu, Soojong Lim, Oh-Woog Kwon, Seung-Hoon Na p. 137-153

참고문헌 (35건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 SRILM - an extensible language modeling toolkit 미소장
2 Lightly supervised and unsupervised acoustic model training 미소장
3 KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition 미소장
4 Hybrid speech recognition with Deep Bidirectional LSTM 미소장
5 Language Model Adaptation based on Topic Probability of Latent Dirichlet Allocation 미소장
6 GenieTutor: A Computer-Assisted Second-Language Learning System Based on Spoken Language Understanding 미소장
7 Speaker Adaptation for Multichannel End-to-End Speech Recognition 미소장
8 Discussing with a computer to practice a foreign language: research synthesis and conceptual framework of dialogue-based CALL 미소장
9 Semi-supervised Training for End-to-end Models via Weak Distillation 미소장
10 ESPnet: End-to-End Speech Processing Toolkit 미소장
11 An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model 미소장
12 Cycle-consistency Training for End-to-end Speech Recognition 미소장
13 Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration 미소장
14 Transformer-Based Online CTC/Attention End-To-End Speech Recognition Architecture 미소장
15 End-To-End Multi-Speaker Speech Recognition With Transformer 미소장
16 Automatic proficiency assessment of Korean speech read aloud by non‐natives using bidirectional LSTM‐based speech recognition 미소장
17 wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations 미소장
18 Speech Recognition for Task Domains with Sparse Matched Training Data 미소장
19 Semi-supervised Training for Sequence-to-Sequence Speech Recognition Using Reinforcement Learning 미소장
20 Semi-Supervised ASR by End-to-End Self-Training 미소장
21 Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation 미소장
22 Transformer-Based Long-Context End-to-End Speech Recognition 미소장
23 Conformer: Convolution-augmented Transformer for Speech Recognition 미소장
24 Multimodal Unsupervised Speech Translation for Recognizing and Evaluating Second Language Speech 미소장
25 Elsa Speak App: Automatic Speech Recognition (ASR) for Supplementing English Pronunciation Skills 미소장
26 HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units 미소장
27 Fast offline transformer‐based end‐to‐end automatic speech recognition for real‐world applications 미소장
28 Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment 미소장
29 English–Korean speech translation corpus (EnKoST‐C): Construction procedure and evaluation results 미소장
30 E-Branchformer: Branchformer with Enhanced Merging for Speech Recognition 미소장
31 Towards End-to-End Unsupervised Speech Recognition 미소장
32 Automated speech scoring of dialogue response by Japanese learners of English as a foreign language 미소장
33 Attention Is All You Need 미소장
34 The Use of ELSA Speak as a Mobile-Assisted Language Learning (MALL) towards EFL Students Pronunciation 미소장
35 Unsupervised versus supervised training of acoustic models 미소장

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