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Mladen Russo
University of Split
Speech recognitionComputer networkComputer scienceGSMReal-time computing
45Publications
9H-index
194Citations
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Publications 44
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#1Mladen Russo (University of Split)H-Index: 9
#2Luka Kraljević (University of Split)H-Index: 2
Last. Marjan Sikora (University of Split)H-Index: 4
view all 4 authors...
Abstract Identifying perceived emotional content of music constitutes an important aspect of easy and efficient search, retrieval, and management of the media. One of the most promising use cases of music organization is an emotion-based playlist, where automatic music emotion recognition plays a significant role in providing emotion related information, which is otherwise, generally unavailable. Based on the importance of the auditory system in emotional recognition and processing, in this stud...
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#1Luka Kraljević (University of Split)H-Index: 2
#2Mladen Russo (University of Split)H-Index: 9
Last. Marjan Sikora (University of Split)H-Index: 4
view all 4 authors...
Accurate source localization is an important problem in many research areas as well as practical applications in wireless communications and acoustic signal processing. This paper presents a passive three-dimensional sound source localization (SSL) method that employs a geometric configuration of three soundfield microphones. Two methods for estimating the angle of arrival (AOA) and time difference of arrival (TDOA) are proposed based on Ambisonics A and B format signals. The closed-form solutio...
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#1Maja Rogić Vidaković (University of Split)H-Index: 3
#2Ana Kostović (University of Split)
Last. Jure Baban (University of Zagreb)
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BACKGROUND Little is known about how vibrational stimuli applied to hand digits affect motor cortical excitability. The present transcranial magnetic stimulation (TMS) study investigated motor evoked potentials (MEPs) in the upper extremity muscle following high-frequency vibratory digit stimulation. MATERIAL AND METHODS High-frequency vibration was applied to the upper extremity digit II utilizing a miniature electromagnetic solenoid-type stimulator-tactor in 11 healthy study participants. The ...
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#1Luka KraljevićH-Index: 2
#2Mladen RussoH-Index: 9
Last. Matko ŠarićH-Index: 5
view all 4 authors...
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#1Matko Šarić (University of Split)H-Index: 5
#2Mladen Russo (University of Split)H-Index: 9
Last. Marjan Sikora (University of Split)H-Index: 4
view all 4 authors...
Early diagnosis of lung cancer is critical for improvement of patient survival. Histopathological assessment of tissue is standard procedure needed for early diagnosis. Tissue analysis is usually performed by pathologist review, but this procedure is time-consuming and error-prone. Automated detection of cancer regions would significantly speed up the whole process and help the pathologist. In this paper we propose fully automatic method for lung cancer detection in whole slide images of lung ti...
1 CitationsSource
#1Mladen Russo (University of Split)H-Index: 9
#2Maja Stella (University of Split)H-Index: 6
Last. Matko Šarić (University of Split)H-Index: 5
view all 4 authors...
Automatic speech recognition (ASR) technology provides a natural interface for human-machine interaction. Typical ASR systems can achieve high performance in quiet environments but, unlike humans, perform poorly in real-world situations. To better simulate the human auditory periphery and improve the performance in realistic noisy scenarios, we propose two models of speech recognition front-ends based on a biophysical cochlear model. The first front-end is based on the method of signal reconstru...
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#1Mladen RussoH-Index: 9
#2Maja StellaH-Index: 6
Last. Vesna PekićH-Index: 1
view all 4 authors...
Accurate speech recognition can provide a natural interface for human–computer interaction. Recognition rates of the modern speech recognition systems are highly dependent on background noise levels and a choice of acoustic feature extraction method can have a significant impact on system performance. This paper presents a robust speech recognition system based on a front-end motivated by human cochlear processing of audio signals. In the proposed front-end, cochlear behavior is first emulated b...
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#2Maja StellaH-Index: 6
Last. Mladen RussoH-Index: 9
view all 3 authors...
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#1Luka KraljevićH-Index: 2
#2Mladen RussoH-Index: 9
Last. Maja StellaH-Index: 6
view all 3 authors...
Voice control is the most prominent feature of smart home environment. In this paper, we proposed a voice command module that enables users hands-free interaction with the smart home environment. We presented three components required for simple and efficient control of the smart home devices. Wake up word component allows actual voice command processing. Speech recognition component maps spoken voice commands to text and Voice Control Interface parse that text into appropriate JSON format for h...
1 Citations
#1Marjan Sikora (University of Split)H-Index: 4
#2Mladen Russo (University of Split)H-Index: 9
Last. Ante JurčevićH-Index: 1
view all 5 authors...
This article investigates the use of an audio augmented reality (AAR) system to recreate the soundscape of a medieval archaeological site. The aim of our work was to explore whether it is possible to enhance a tourist's archaeological experience, which is often derived from only scarce remains. We developed a smartphone-based AAR system, which uses location and orientation sensors to synthesize the soundscape of a site and plays it to the user via headphones. We recreated the ancient soundscape ...
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