This paper describes a similar speaker selection technique based on distance metric learning. Our aim is selection of a perceptually similar speaker using acoustic features from a multispeaker database. A novel point of the proposed technique is training a transform matrix using the perceptual voice quality similarity between many speakers obtained from a subjective evaluation to convert acoust...

In this work1, a novel acoustic characterization approach to multimedia event detection (MED) task for unconstrained and unstructured consumer-level videos through audio signal modeling is proposed. The key idea is to characterize the acoustic space of interest with a set of fundamental acoustic units around which a set of acoustic segment models (ASMs) is built. A vector space modeling techniq...

This paper is concerned with a technique for solving Fredholm integro-dierentialequations in the reproducing kernel Hilbert space. In contrast with the conventionalreproducing kernel method, the Gram-Schmidt process is omitted hereand satisfactory results are obtained. The analytical solution is represented inthe form of series. An iterative method is given to obtain the approximate solution.Th...

In this paper, an audio-book, in which a professional voice talent performs multiple characters, is exploited to investigate the expressiveness of speech. The expressive speech space of the sole speaker is explored by finding the distances between acoustic models of multiple characters and the perceived proximity between their speech utterances. Using the speech of ten characters as test data, ...

in recent years, need to increase the convenience of trips in railway vehicles causes that train operators and manufacturers focus on reducing the noise level which is sensed by passengers. in this paper, first the state of modeling acoustic noise in cab train is discussed and natural frequencies and acoustic mode shapes are derived and then formulation of acoustic pressure in the cab will be o...