Automatic speech recognition from neural signals: a focused review
Speech interfaces have become widely accepted and are nowadays integrated in various
real-life applications and devices. They have become a part of our daily life. However …
real-life applications and devices. They have become a part of our daily life. However …
Brain-to-text: decoding spoken phrases from phone representations in the brain
It has long been speculated whether communication between humans and machines based
on natural speech related cortical activity is possible. Over the past decade, studies have …
on natural speech related cortical activity is possible. Over the past decade, studies have …
[PDF][PDF] On a Real Real-Time Wearable Human Activity Recognition System.
Many human activity recognition (HAR) systems have the ultimate application scenarios in
real-time, while most literature has limited the HAR study to offline models. Some mentioned …
real-time, while most literature has limited the HAR study to offline models. Some mentioned …
CSL-SHARE: A multimodal wearable sensor-based human activity dataset
1 Background In this digital age, human activity recognition (HAR) plays an increasingly
important role in almost all aspects of life to improve people's quality of life, such as auxiliary …
important role in almost all aspects of life to improve people's quality of life, such as auxiliary …
[PDF][PDF] Speech-Based Detection of Alzheimer's Disease in Conversational German.
The worldwide population is aging. With a larger population of elderly people, the numbers
of people affected by cognitive impairment such as Alzheimer's disease are growing …
of people affected by cognitive impairment such as Alzheimer's disease are growing …
High-level features for human activity recognition and modeling
Abstract High-Level Features (HLF) are a novel way of describing and processing human
activities. Each feature captures an interpretable aspect of activities, and a unique …
activities. Each feature captures an interpretable aspect of activities, and a unique …
[PDF][PDF] A Practical Wearable Sensor-based Human Activity Recognition Research Pipeline.
Many researchers devote themselves to studying various aspects of Human Activity
Recognition (HAR), such as data analysis, signal processing, feature extraction, and …
Recognition (HAR), such as data analysis, signal processing, feature extraction, and …
[PDF][PDF] Manual and Automatic Transcriptions in Dementia Detection from Speech.
As the population in developed countries is aging, larger numbers of people are at risk of
developing dementia. In the near future there will be a need for time-and cost-efficient …
developing dementia. In the near future there will be a need for time-and cost-efficient …
[PDF][PDF] Feature Space Reduction for Human Activity Recognition based on Multi-channel Biosignals.
In this paper, we study the effect of Feature Space Reduction for the task of Human Activity
Recognition (HAR). For this purpose, we investigate a Linear Discriminant Analysis (LDA) …
Recognition (HAR). For this purpose, we investigate a Linear Discriminant Analysis (LDA) …
[PDF][PDF] Investigating the Effect of Audio Duration on Dementia Detection Using Acoustic Features.
This paper presents recent progress toward our goal to enable area-wide pre-screening
methods for the early detection of dementia based on automatically processing …
methods for the early detection of dementia based on automatically processing …