Title
Improvements in Pronunciation Evaluation Based on Speech Technology: with Applications of Readingaloud and Shadowing Speech Eva,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
The main goal of this research in this book is to improve automatic pronunciation evaluation of readingaloud and shadowing based on speech technology for ComputerAssisted Language Learning (CALL) systems. We first investigate the effects and problems of Maximum Likelihood Linear Regression (MLLR) speaker adaptation when used in pronunciation evaluation of readingaloud. Following the analysis, we propose a novel method, Regularized Maximum Likelihood Regression (RegularizedMLLR) adaptation, to solve the problem of the adverse effects of MLLR adaptation. This method uses a group of teachers' data to regularize learners' transformation matrices so that erroneous pronunciations will not be erroneously transformed as correct ones. Several novel methods are also introduced to improve segmental (phone) and prosodic evaluation of shadowing, which is a popular language teaching practice that is a kind of repeatafterme type exercise, but rather than waiting until the end of the phrase heard, learners are required to reproduce nearly at the same time. Experimental results shows the proposed methods are effective and outperform conventional methods for pronunciation evaluations.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.