Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care
Integrating speech recondition technology into an electronic health record (EHR) has been studied in recent years. However, the full adoption of the system still faces challenges such as handling speech errors, transforming raw data into an understandable format and controlling the transition from o...
Main Authors: | Tittaya Mairittha, Nattaya Mairittha, Sozo Inoue |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/17/3736 |
Similar Items
-
Automatic Labeled Dialogue Generation for Nursing Record Systems
by: Tittaya Mairittha, et al.
Published: (2020-07-01) -
On-Device Deep Learning Inference for Efficient Activity Data Collection
by: Nattaya Mairittha, et al.
Published: (2019-08-01) -
On-Device Deep Personalization for Robust Activity Data Collection
by: Nattaya Mairittha, et al.
Published: (2021-12-01) -
About Development and Innovation of the Slovak Spoken Language Dialogue System
by: Jozef Juhár, et al.
Published: (2009-05-01) -
Turn-taking enhancement in spoken dialogue systems with reinforcement learning
by: Khouzaimi, Hatim
Published: (2016)