A5032176055- Speech and dialogue systems
- Language Development and Disorders
- Cardiovascular and exercise physiology
- Stuttering Research and Treatment
- Speech and Audio Processing
- Speech Recognition and Synthesis
- Phonetics and Phonology Research
- Heart Rate Variability and Autonomic Control
- Artificial Intelligence in Games
- Music and Audio Processing
- Infant Health and Development
- Mindfulness and Compassion Interventions
- Influenza Virus Research Studies
- Data-Driven Disease Surveillance
- COVID-19 epidemiological studies
- Child Development and Digital Technology
- Multimodal Machine Learning Applications
- Non-Invasive Vital Sign Monitoring
- Topic Modeling
Texas A&M University
2017-2021
University of North Texas
2015
Purpose: To assist in remote treatment, speech-language pathologists (SLPs) rely on mobile games, which though entertaining, lack feedback mechanisms. Games integrated with automatic speech recognition (ASR) offer a solution where productions control gameplay. We therefore performed feasibility study to assess children's and SLPs' experiences towards speech-controlled game feature preferences ASR accuracy. Method: Ten children childhood apraxia of (CAS), six typically developing (TD) seven...
This paper presents Apraxia World, a remote therapy tool for speech sound disorders that integrates exercises into an engaging platformer-style game. In the player controls avatar with virtual buttons/joystick, whereas input is associated assets needed to advance from one level next. We tested performance and child preference of two strategies delivering exercises: during each level, after it. Most children indicated doing completing was less disruptive preferable scattered through level....
Digital games can make speech therapy exercises more enjoyable for children and increase their motivation during therapy. However, many such developed to date have not been designed long-term use. To address this issue, we Apraxia World, a game specifically intended be played over extended periods. In study, examined pronunciation improvements, child engagement time, caregiver automated evaluation accuracy while using our multi-month period. Ten World at home two counterbalanced 4-week...
We previously developed a tablet-based speech therapy game called Apraxia World to address barriers treatment and increase child motivation during therapy. In this study, we examined pronunciation improvements, engagement over time, caregiver evaluation performance while using our game. recruited ten children play at home two four-week blocks, separated by two-week break; nine of have completed the protocol time writing. children's utterances were evaluated either caregivers or an automated...
Automatic speech recognition (ASR) technology can be a useful tool in mobile apps for child therapy, empowering children to complete their practice with limited caregiver supervision. However, little is known about the feasibility of performing ASR on devices, particularly when training data limited. In this study, we investigated performance two low-resource systems disordered from children. We compared open-source PocketSphinx (PS) recognizer using adapted acoustic models and custom...
Deep breathing is a simple and intuitive technique for reducing stress, but requires familiarity with exercises suitable parameters. We present Breaths, mobile tool that allows users to experiment various respiratory pacing signals in order maximize relaxation. Breaths provides stationary (i.e., clock-based) signal as well an adaptive follows fluctuations the heart rate. also real-time visualizations of standard measures This demonstration aims illustrate how our system can be used...
Chronic stress is a global epidemic, but in the United States, 42% of adults say they are not doing enough to manage stress. Additionally, 1 5 report nothing their A variety relaxation methods attempt mitigate effects long-term stress, can be non-intuitive, difficult use, or unsuited for daily life. This paper proposes study usability and design deep breathing biofeedback guides in-situ relaxation. The author will achieve this by designing guide, developing robust measures arousal from...
COVID-19 reached the US in January, 2020, but state and local case detection efforts varied timing scale. We conducted a state-level ecological analysis of epidemiology alongside CDC influenza surveillance data policy timelines. Our findings show wide variation influenza-like-illness activity between states.