[PDF] Top 20 Towards Automatic Scoring of Non Native Spontaneous Speech
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Towards Automatic Scoring of Non Native Spontaneous Speech
... automated scoring of spoken English proficiency of non-native ...of spontaneous spoken responses to complex test ...that scoring based on support vector machines yields accuracies ... See full document
8
Using Rhetorical Structure Theory to Assess Discourse Coherence for Non native Spontaneous Speech
... of non-native speaking proficiency, including pronunciation, prosody, fluency, vocabulary, grammar, and, in particular, discourse in spontaneous ... See full document
10
Improved pronunciation features for construct driven assessment of non native spontaneous speech
... on automatic as- sessment of the pronunciation quality of spon- taneous non-native adult ...on non-native speech acoustic properties and then forced-align the recognition results ... See full document
8
Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers
... on non-native speech, the acoustic models have received most ...on speech material of the target language ...on native speech, because of the various deviations in the ... See full document
13
Assessment of ESL Learners’ Syntactic Competence Based on Similarity Measures
... automated speech scor- ing have only recently begun to actively investi- gate the usefulness of syntactic measures for scoring spontaneous speech (Chen et ... See full document
9
Experiments on Non native Speech Assessment and its Consistency
... SpeechRater T M , developed by Educational Test- ing Service (ETS) can be considered as a lead- ing strand of research into automated scoring of non-native speech (Xi et al., 2008; Chen et ... See full document
7
Detecting Structural Events for Assessing Non Native Speech
... in spontaneous speech, are important components of human speaking and have been used to measure language devel- ...automated speech assessment ...on spontaneous speech, we investigated ... See full document
8
The IFCASL Corpus of French and German Non native and Native Read Speech
... the non-native realizations are studied in order to investigate efficient acoustic feedback provided to learners, and how feedback can robustly interact with automatic segmentation provided by ... See full document
6
Automatic Anomaly Detection for Dysarthria across Two Speech Styles: Read vs Spontaneous Speech
... of speech utterances into phones is car- ried out thanks to an automatic text-constrained phone alignment ...of speech separated from another IPU by at least 250ms of silence or ...The ... See full document
7
Automatic Long Audio Alignment and Confidence Scoring for Conversational Arabic Speech
... Arabic speech is proposed. Accurate alignments help in many speech processing tasks such as audio indexing, speech recognizer acoustic model (AM) training, audio summarizing and retrieving, ... See full document
5
Enhancing Automatic Chinese Essay Scoring System from Figures-of-Speech
... essay scoring (CAES) is a very important tool for many educational ...A scoring model based on ID3 decision tree algorithm will validate and show that the proposed method increases the performance of CAES ... See full document
7
Computing and Evaluating Syntactic Complexity Features for Automated Scoring of Spontaneous Non Native Speech
... automated scoring system, the first com- ponent is an ASR system that decodes the digitized speech sample, generating a time-annotated hypo- thesis for every ...gression scoring model, trained on ... See full document
10
Toward Automated Content Feedback Generation for Non-native Spontaneous Speech
... In this section, we will discuss our future plan about how to generate targeted feedback based on the automated Key Point scores. There are sev- eral reasons that language learners may miss the key information from the ... See full document
10
Using an Ontology for Improved Automated Content Scoring of Spontaneous Non Native Speech
... For future work, we plan to investigate more so- phisticated reasoning approaches. For this study, we use a simple averaging method to infer the con- cept importance based on hierarchy-inferred simi- larity metrics. As a ... See full document
9
Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non Native Speakers of Three Major Languages in Dictation Workflows
... documentation and translation workflows. In addition, we were interested in comparing two different ASR environments: a speaker-adapted ASR system installed on a laptop PC and a speaker-independent ASR system in a remote ... See full document
10
Towards Using Structural Events To Assess Non native Speech
... in speech data haven’t been largely utilized by the research on us- ing automatic speech recognition (ASR) technology to assess speech proficiency (Neumeyer et ... See full document
6
Automated scoring across different modalities
... the scoring engine for this response. We first hypothesized that the scoring error may be greater for responses with higher ...the scoring error (the absolute difference between pre- dicted and ... See full document
6
Detecting Japanese Patients with Alzheimer’s Disease based on Word Category Frequencies
... Recent studies of early detection methods such as blood testing and detailed memory testing have re- vealed vast improvements in detection capabilities (Mapstone et al. 2014). However, most of these methods are ... See full document
8
Spontaneous Speech Effects In Large Vocabulary Speech Recognition Applications
... Spontaneous Speech Effects In Large Vocabulary Speech Recognition Applications Spontaneous Speech Effects In Large Vocabulary Speech Recognition Applications John Butzberger, Hy Murveit, Elizabeth Shr[.] ... See full document
5
Dual supervised learning for non-native speech recognition
... for non-native ...of speech datasets for a certain ...of speech signal characteristics in one particular ...a speech recognition classi- fier for one language and one nationality/ethnic ... See full document
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