• Corpus ID: 221089757

Predicting lexical skills from oral reading with acoustic measures

  title={Predicting lexical skills from oral reading with acoustic measures},
  author={Charvi Vitthal and S ShreeharshaB and Kamini Sabu and Preeti Rao},
Literacy assessment is an important activity for education administrators across the globe. Typically achieved in a school setting by testing a child’s oral reading, it is intensive in human resources. While automatic speech recognition (ASR) is a potential solution to the problem, it tends to be computationally expensive for hand-held devices apart from needing languageand accent-specific speech for training. In this work, we propose a system to predict the word-decoding skills of a student… 


Automatic Assessment of Children's L2 Reading for Accuracy and Fluency
An automatic system that detects reading miscues and computes fluency indicators at the sentence level which are then correlated with fine-grained subjective ratings by an expert is presented.
Detection of Prominent Words in Oral Reading by Children
The evaluation of oral reading skills is considered an important component of language education in school. Compared with word decoding skill, prosodic fluency typically takes children much longer to
Improving the Noise Robustness of Prominence Detection for Children's Oral Reading Assessment
This work focuses on the rating of prosody, an important aspect of fluency in speech delivery, and a system for the detection of word prominence based on prosodic features is presented and tested on real-world data marked by background noise typical of the school setting.
Automatic assessment of expressive oral reading
Automatic Assessment of Reading with Speech Recognition Technology
Observations of typical learner progress patterns will form the bases of a system that applies Automatic Speech Recognition techniques to obtain robust automatic predictions of reading fluency and word decoding accuracy.
Automatically Measuring L2 Speech Fluency without the Need of ASR: A Proof-of-concept Study with Japanese Learners of French
This research work investigates the possibility of using automatic acoustic measures to assess speech fluency in the context of second language (L2) acquisition by rating speech recordings of Japanese learners of French who were instructed to read aloud a 21-sentence-long text.
Voice activity detection for children's read speech recognition in noisy conditions
This work investigates robust approaches to voice activity detection to eliminate non-speech segments to the extent possible prior to ASR using energy-based and harmonicity-based features coupled with suitable temporal smoothing constraints in a two-pass noise preprocessing system.
Becoming a Fluent Reader: Reading Skill and Prosodic Features in the Oral Reading of Young Readers.
Two structural equation models found evidence of a relationship between decoding speed and reading prosody as well as decodingspeed and comprehension, and only minimal evidence that prosodic reading was an important mediator of reading comprehension skill.
Automatic detection and classification of disfluent reading miscues in young children's speech for the purpose of assessment
It was discovered human evaluators rated the fluency nearly as important as accuracy when judging the overall reading ability of a child in automating the assessment of children’s oral word reading tasks.