Automatic proficiency assessment of Korean speech read aloud by non‐natives using bidirectional LSTM‐based speech recognition

Automatic proficiency assessment of Korean speech read aloud by non‐natives using bidirectional LSTM‐based speech recognition

This paper presents an automatic proficiency assessment method for a non‐native Korean read utterance using bidirectional long short–term memory (BLSTM)–based acoustic models (AMs) and speech data augmentation techniques. Specifically, the proposed method considers two scenarios, with and without pr...

Full description

Bibliographic Details
Main Authors: Yoo Rhee Oh, Kiyoung Park, Hyung‐Bae Jeon, Jeon Gue Park
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2020-04-01
Series:ETRI Journal
Subjects:
automatic speech recognition (asr) for a non‐native korean utterance
bidirectional long short–term memory (blstm)–based acoustic models (ams)
speech data augmentation
spoken computer‐assisted language learning (call)
spoken proficiency assessment
Online Access:https://doi.org/10.4218/etrij.2019-0400

Internet

https://doi.org/10.4218/etrij.2019-0400

Similar Items