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In this paper the influence of hangover and hangbefore criteria on automatic speech recognition is presented. Voice activity detection (VAD) algorithm is nowadays almost always part of automatic speech recognition systems. Hangover and hangbefore criteria can be integrated into VAD algorithm after basic VAD decision. Hangover and hangbefore criteria can(More)
This paper presents a miniature wearable device and a system for detecting and recording the movement and biometric information of a user during sport activities. The wearable device is designed to be worn on a wrist and can monitor skin temperature and pulse rate. Furthermore it can monitor arm movement and detect gestures using inertial measurement unit.(More)
This paper addresses the topic of unsupervised speaker segmentation for automatic speech recognition in a complex real life environment like broadcast news domain. A statistical approach where a universal background model (UBM) is applied for online speaker segmentation was compared with the widely used Bayesian information criterion (BIC) approach. An(More)
This paper presents novel feature-group for on-line speech/music segmentation for broadcast news domain. The features are based on Mel-Frequency Cepstral Coefficients Variance (MFCCV). The idea behind the feature-group construction is the energy variation in a narrow frequency sub-band. The variation is bigger for speech than for music. For feature(More)
This paper presents work related to tennis stroke detection and classification. For arm movement acquisition a miniature wearable IMU device, positioned on the player's forearm (right above the wrist) is proposed and presented. The device uses a MEMS-based accelerometer and gyroscope with 6-DOF. For reliable and accurate tennis stroke detection the(More)
This paper presents the work related to the identification of PRV (pulse rate variability) and SpO2 (blood oxidation content) using miniature wearable wrist device. The extension of currently widely used PPT (photo plethysmography) measuring technique is proposed. Most PPT devices only measure PR (pulse rate), but with minimum adaptations to the sensor, a(More)
This paper presents speaker gender classification and segmentation. Such classification is frequently used in broadcast news domain. Because pitch is a feature that is difficult to calculate reliably in noisy environment, and because telephone speech is present in broadcast material, we focused on using general acoustic features for gender discrimination(More)