Shin Jae Kang

Learn More
In this letter, we propose a novel approach to human activity recognition. We present a class of features that are robust to the tilt of the attached sensor module and a state transition model suitable for HMMbased activity recognition. In addition, postprocessing techniques are applied to stabilize the recognition results. The proposed approach shows(More)
Ever since the deep neural network (DNN)-based acoustic model appeared, the recognition performance of automatic speech recognition has been greatly improved. Due to this achievement, various researches on DNN-based technique for noise robustness are also in progress. Among these approaches, the noise-aware training (NAT) technique which aims to improve the(More)
Signals originated from the same speech source usually appear differently depending on a variety of acoustic effects such as the background noises, linear or nonlinear distortions incurred by the recording devices or reverberations. These acoustical effects result in mismatches between the trained speech recognition models and the input speech. One of the(More)
In this paper, we propose a novel feature compensation approach based on the interacting multiple model (IMM) algorithm specially designed for joint processing of background noise and acoustic reverberation. Our approach to cope with the time-varying environmental parameters is to establish a switching linear dynamic model for the additive and convolutive(More)
We propose a practical system design for biometrics authentication based on electrocardiogram (ECG) signals collected from mobile or wearable devices. The ECG signals from such devices can be corrupted by noise as a result of movement, signal acquisition type, etc. This leads to a tradeoff between captured signal quality and ease of use. We propose the use(More)
In our previous study, we proposed factored MLLR (FMLLR) where each MLLR parameter is defined as a function of a control vector. We presented a method to train the FMLLR parameters based on a general framework of the expectationmaximization (EM) algorithm. In this paper, we extend the FMLLR structure from diagonal to unrestricted full matrix with a(More)
A more realistic and robust resource allocation mechanism for wireless networks is proposed which enables wireless network systems to communicate efficiently and combat harsh wireless channels. In order for a central spectrum moderator (CSM) to efficiently allocate wireless resource to wireless stations (WSTAs), overhead information is requisite. A new(More)
In this paper, we propose a novel approach to estimate three types of phone mismatch penalty matrices for two-state keyword spotting. When the output of a phone recognizer is given, text matching with the phone sequences provided by the specified keyword using the proposed phone mismatch penalty matrices is carried out to detect a specific keyword. The(More)
In this letter, we propose a novel approach to estimate three different kinds of phone mismatch penalty matrices for two-stage keyword spotting. When the output of a phone recognizer is given, detection of a specific keyword is carried out through text matching with the phone sequences provided by the specified keyword using the proposed phone mismatch(More)
We propose an effective approach to acoustic indoor localization that works in reverberant environments. The proposed localization system has been implemented to operate in an inaudible frequency range for practical applications. In order to achieve high performance, we propose an effective acoustic source data structure with a synchronization algorithm. To(More)