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mispronunciation detection and diagnosis

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摘要： detection and diagnosis (MD&D) methods rely on manually | The majority of the current mispronunciation | experiments using varied meta-learning task partitioning and | model wav2vec2.0 and* the approach of incorporating* | annotated data for model training. However, annotating

关键词： mispronunciation detection and diagnosis | model-agnostic meta-learning | second language learner | fast adaptation

关键词： Computer-Assisted Pronunciation Training (CAPT) | Mispronunciation Detection and Diagnosis (MDD) | Deep Learning (DL) | Deep Neural Networks (DNN) | Systematic review

摘要：Mispronunciation detection and diagnosis (MDD | it with the standard phoneme sequence, and* identify* | the type and* location of any mispronunciations* | , and* linguistic information from the annotated data* | , and* achieves feature fusion through multiple*

关键词： Mispronunciation detection and diagnosis | Phoneme recognition | Feature fusion | Loss function | MISPRONUNCIATION DETECTION

摘要： Detection and Diagnosis (MDD) architecture, L1-MultiMDD | speaker's native (L1) and* the non-native language (L2* | ) serves as a major factor for mispronunciation. This | paper introduces a novel multilingual Mispronunciation | and its corresponding reference phoneme sequence

关键词： Second language acquisition | Mispronunciation Detection Model | Non-native speech | End-to-end models | Multilingual | and Multi-task

摘要：Mispronunciation detection and diagnosis (MDD | segmentations and* provide instant and informative diagnostic* | , which identifies pronunciation errors and* returns* | process and* alignment process are made independent of* | streamline the dictation process and* the alignment process*

关键词： computer-assisted pronunciation training (CAPT) | mispronunciation detection and diagnosis (MDD) | articulatory manner | graph convolutional network (GCN) | L2-ARCTIC

摘要：Mispronunciation detection and diagnosis (MDD | L2 learner's articulation and* subsequently provide* | finds out pronunciation errors and* returns diagnostic* | dictation process and* alignment process are mostly made* | the dictation process and* the alignment process. The*

关键词： Training | Text recognition | Conferences | Computational modeling | Buildings | Phonetics | Predictive models

摘要： of Mispronunciation* Detection and Diagnosis (MDD* | because of their capability, adaptability, and | frameworks and* has recently benefited from the rapid* | innovation spawned in deep learning models and* different* | acoustic, phonetic, and* linguistic features. The various*

关键词： Deep learning | Technological innovation | Acoustic phonetics | Adaptation models | Electric breakdown | Linguistics | Feature extraction

摘要：Many mispronunciation detection and diagnosis | 9.93%, 10.13% and* 6.17% on the detection accuracy* | , diagnosis* error rate and the F-measure, respectively.* | acoustic and* linguistic features as input. Yet the* | and speaker-independent manner. These embeddings

关键词： Computer-aided Pronunciation Training | Mispronunciation Detection and Diagnosis | Phoneme Recognition | Acoustic-phonetic-linguistic Embeddings

NSTL主题词： phonetics | validation of non formal learning | Acute Promyelocytic Leukemia | general purpose language | Linguistics | Diagnosis | Acoustics

摘要：Many mispronunciation detection and diagnosis | 9.93%, 10.13% and* 6.17% on the detection accuracy* | , diagnosis* error rate and the F-measure, respectively.* | acoustic and* linguistic features as input. Yet the* | and speaker-independent manner. These embeddings

关键词： Acoustic phonetics | Error analysis | Databases | Annotations | Training data | Speech recognition | Signal processing

NSTL主题词： phonetics | Linguistics | Diagnosis | Acoustics

摘要： approach for mispronunciation detection and diagnosis | training and* the MDD evaluation, since the performance of* | approaches and* the celebrated GOP method.* | End-to-end (E2E) neural models are | increasingly attracting attention as a promising modeling

关键词： Training | Error analysis | Training data | Linear programming | Data models

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： detection and diagnosis (MD&D) methods rely on manually | The majority of the current mispronunciation | experiments using varied meta-learning task partitioning and | model wav2vec2.0 and the approach of incorporating | annotated data for model training. However, annotating

关键词： mispronunciation detection and diagnosis | model-agnostic meta-learning | second language learner | fast adaptation

摘要： the mispronunciation detection and diagnosis process | diagnosis of pronunciation errors is essential, it allows | languagelearners to identify their mispronunciations and thus | learning algorithms for mispronunciation diagnosisis | recent use of deep neural networks for mispronunciation

关键词： Computer-Assisted Pronunciation Training (CAPT) | Mispronunciation Detection and Diagnosis (MDD) | Deep Learning (DL) | Deep Neural Networks (DNN) | Systematic review

摘要：Mispronunciation detection and diagnosis (MDD | it with the standard phoneme sequence, and identify | the type and location of any mispronunciations | , and linguistic information from the annotated data | , and achieves feature fusion through multiple

关键词： Mispronunciation detection and diagnosis | Phoneme recognition | Feature fusion | Loss function | MISPRONUNCIATION DETECTION

摘要： Detection and Diagnosis (MDD) architecture, L1-MultiMDD | speaker's native (L1) and the non-native language (L2 | ) serves as a major factor for mispronunciation. This | paper introduces a novel multilingual Mispronunciation | and its corresponding reference phoneme sequence

关键词： Second language acquisition | Mispronunciation Detection Model | Non-native speech | End-to-end models | Multilingual | and Multi-task

摘要：Mispronunciation detection and diagnosis (MDD | segmentations and provide instant and informative diagnostic | , which identifies pronunciation errors and returns | process and alignment process are made independent of | streamline the dictation process and the alignment process

关键词： computer-assisted pronunciation training (CAPT) | mispronunciation detection and diagnosis (MDD) | articulatory manner | graph convolutional network (GCN) | L2-ARCTIC

摘要：Mispronunciation detection and diagnosis (MDD | L2 learner's articulation and subsequently provide | finds out pronunciation errors and returns diagnostic | dictation process and alignment process are mostly made | the dictation process and the alignment process. The

关键词： Training | Text recognition | Conferences | Computational modeling | Buildings | Phonetics | Predictive models

摘要： of Mispronunciation Detection and Diagnosis (MDD | because of their capability, adaptability, and | frameworks and has recently benefited from the rapid | innovation spawned in deep learning models and different | acoustic, phonetic, and linguistic features. The various

关键词： Deep learning | Technological innovation | Acoustic phonetics | Adaptation models | Electric breakdown | Linguistics | Feature extraction

摘要：Many mispronunciation detection and diagnosis | 9.93%, 10.13% and 6.17% on the detection accuracy | , diagnosis error rate and the F-measure, respectively. | acoustic and linguistic features as input. Yet the | and speaker-independent manner. These embeddings

关键词： Computer-aided Pronunciation Training | Mispronunciation Detection and Diagnosis | Phoneme Recognition | Acoustic-phonetic-linguistic Embeddings

NSTL主题词： phonetics | validation of non formal learning | Acute Promyelocytic Leukemia | general purpose language | Linguistics | Diagnosis | Acoustics

摘要：Many mispronunciation detection and diagnosis | 9.93%, 10.13% and 6.17% on the detection accuracy | , diagnosis error rate and the F-measure, respectively. | acoustic and linguistic features as input. Yet the | and speaker-independent manner. These embeddings

关键词： Acoustic phonetics | Error analysis | Databases | Annotations | Training data | Speech recognition | Signal processing

NSTL主题词： phonetics | Linguistics | Diagnosis | Acoustics

摘要： approach for mispronunciation detection and diagnosis | training and the MDD evaluation, since the performance of | approaches and the celebrated GOP method. | End-to-end (E2E) neural models are | increasingly attracting attention as a promising modeling

关键词： Training | Error analysis | Training data | Linear programming | Data models

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： detection and diagnosis (MD&D) methods rely on manually | The majority of the current mispronunciation | experiments using varied meta-learning task partitioning and | model wav2vec2.0 and* the approach of incorporating* | annotated data for model training. However, annotating

摘要：Mispronunciation detection and diagnosis (MDD | it with the standard phoneme sequence, and* identify* | the type and* location of any mispronunciations* | , and* linguistic information from the annotated data* | , and* achieves feature fusion through multiple*

摘要： Detection and Diagnosis (MDD) architecture, L1-MultiMDD | speaker's native (L1) and* the non-native language (L2* | ) serves as a major factor for mispronunciation. This | paper introduces a novel multilingual Mispronunciation | and its corresponding reference phoneme sequence

摘要：Mispronunciation detection and diagnosis (MDD | segmentations and* provide instant and informative diagnostic* | , which identifies pronunciation errors and* returns* | process and* alignment process are made independent of* | streamline the dictation process and* the alignment process*

摘要：Mispronunciation detection and diagnosis (MDD | L2 learner's articulation and* subsequently provide* | finds out pronunciation errors and* returns diagnostic* | dictation process and* alignment process are mostly made* | the dictation process and* the alignment process. The*

摘要： of Mispronunciation* Detection and Diagnosis (MDD* | because of their capability, adaptability, and | frameworks and* has recently benefited from the rapid* | innovation spawned in deep learning models and* different* | acoustic, phonetic, and* linguistic features. The various*

摘要：Many mispronunciation detection and diagnosis | 9.93%, 10.13% and* 6.17% on the detection accuracy* | , diagnosis* error rate and the F-measure, respectively.* | acoustic and* linguistic features as input. Yet the* | and speaker-independent manner. These embeddings

摘要：Many mispronunciation detection and diagnosis | 9.93%, 10.13% and* 6.17% on the detection accuracy* | , diagnosis* error rate and the F-measure, respectively.* | acoustic and* linguistic features as input. Yet the* | and speaker-independent manner. These embeddings

摘要： approach for mispronunciation detection and diagnosis | training and* the MDD evaluation, since the performance of* | approaches and* the celebrated GOP method.* | End-to-end (E2E) neural models are | increasingly attracting attention as a promising modeling