Abstract The ability of machines to understand human subjective emotions is an essential link realize artificial intelligence. How extract and utilize information from audio signals still a challenging task. By transforming acoustic into time-domain represented by spectrograms, advanced algorithms in the field computer vision can be applied acoustics. In this paper, we propose Speech Emotion Re...

Blind Signal Separation (BSS) deals with the problem of separating independent sources from their observed mixtures while both the mixing process and original sources are unknown. Examples of BSS algorithms employed in acoustical applications can be found among others in audio teleconferencing systems, hearing aids, noise cancelling etc. Such systems usually involve speakers that are at some un...

This paper describes an interactive, self-study DSP tutorial package built for the World Wide Web (WWW, Web). The package includes concept explanation, graphical presentations, listening-ready audio examples and interactive exercises and demonstrations of basic concepts of signal processing. The WWW is a convenient and easy-to-use hypermedia tool. From the point of view of DSP education, the ma...

Estimating time-difference-of-arrival (TDOA) remains a challenging task when acoustic environments are reverberant and noisy. Blind channel identification approaches for TDOA estimation explicitly model multipath reflections and have been demonstrated to be effective in dealing with reverberation. Unfortunately, existing blind channel identification algorithms are sensitive to ambient noise. Th...

t-shape profile barriers are one of the most successful barriers among many different profiles. it has been shown that using welled diffusers on the top of t-shaped barriers makes a reactive barrier that shows better performance than that of any other used profile barriers compared with their equivalent absorbent barrier. the contribution of the top surface of reactive t-profile barriers to the...

Room-scale virtual reality (VR) affordance in movement and interactivity causes new challenges creating acoustic environments for VR experiences. Such are typically constructed from interactive objects that accompanied by an Ambisonic bed off-screen (“invisible”) music soundtrack, with the bed, music, acoustics describing aural features of area. This methodology can become problematic room-scal...

From sirens to car horns, the urban environment is full of sounds that are designed direct drivers’ attention conditions require special care. Microphone-equipped autonomous vehicles can also use these acoustic cues increase safety and performance. This article explores auditory perception in context driving smart vehicles, general, examining potential exploiting driverless vehicle technology. ...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Jukka Ahonen Name of the doctoral dissertation Microphone front-ends for spatial sound analysis and synthesis with Directional Audio Coding Publisher School of Electrical Engineering Unit Department of Signal Processing and Acoustics Series Aalto University publication series DOCTORAL DISSERTATIONS 33/2013 Field of research Ac...

Recent work into 3D audio reproduction has considered the definition of a set of parameters to encode reverberation into an object-based audio scene. The reverberant spatial audio object (RSAO) describes the reverberation in terms of a set of localised, delayed and filtered (early) reflections, together with a late energy envelope modelling the diffuse late decay. The planarity metric, original...