Mitigating Regional Accent Bias in ASR Systems

End-to-end Automatic Speech Recognition (ASR) systems improved drastically in recent years and they work extremely well on many large datasets. However, research shows that these models failed to capture the variability in speech production and have biases against the variant caused by the regional accented speech. Moreover, ASR research on...

Indoor Localization with Multi-Rate Extended Kalman Filter: Based on Elisa-3 robot

Localization is one of the most fundamental competencies required by an autonomous robot, providing crucial information about its position for decision-making in indoor environments. In the current literature, an indoor localization system utilizes exteroceptive sensors such as GNSS(Global Navigation Satellite System), a camera, or an ultrasonic...

Efficient Neural Architecture Search for Language Modeling

Neural networks have achieved great success in many difficult learning tasks like image classification, speech recognition and natural language processing. However, neural architectures are hard to design, which requires lots of knowledge and time of human experts. Therefore, there has been a growing interest in automating the process of designing...

Early DNA Analysis Using Incomplete DNA Data

In the past few years, considerable attention has been paid to reduce the computational time for the analysis of genome data, which eliminated critical computational bottlenecks in the time needed for the analysis of DNA information. However, the analysis of genome data is still facing time consuming challenges due to the slow speed of DNA...

Gamified Campus Engagement

Gamification is the process of integrating game mechanics into non-game contexts - a website, an application, an online community - to motivate par- ticipation and engagement. Several studies have highlighted the benefits of gamification in several applications. However, its potential benefits in the campus environment still need to be...

Pathological Tremor Detection From Video

A pathological tremor is an involuntary and periodic motion of a body part. The detection and quantification of a pathological tremor are essential for diagnosis and therapy. The goal of this research is to detect the frequency of the pathological tremor. Instead of detecting tremors by using a specific medical device, we propose a new...