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— 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)
—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 the acquisition and annotation of Slovenian Lombard Speech Database, the recording of which started in the year 2008. The database 1 was recorded at the University of Maribor, Slovenia. The goal of this paper is to describe the hardware platform used for the acquisition of speech material, recording scenarios and tools used for the(More)
– The paper analyses the influence of speech/non-speech segmentation on on-line and off-line speaker segmentation accuracy. On-line and off-line speaker segmentation approaches together with speaker diarization are shortly reviewed and popular " state of the art " test systems are presented. Both systems are tested on a given test set with and without(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)