Codon bias in the ß-lactam procucer Acremonium chrysogenum

In this paper we compile the G/C-content, the codon bias, and consensus sequences for the translation initiation and the intron splicing sites from 19 nuclear genes of the major ß-lactam antibiotic producer Acremonium chrysogenum. Our data are compared with those from other filamentous fungi, such as Aspergillus nidulan, Neurospora crassa, and Sordaria macrospora

Aural assessment by means of binaural algorithms -the AABBA project-

AABBA is an intellectual grouping with the goal of collaborating for 4-5 years on the application of computational models of human binaural hearing. The grouping will compile a battery of common software components for setting-up dedicated full-scale binaural models for various technological applications - particularly in areas related to communication acoustics. Examples are: quality assessment of audio channels and loudspeakers as well as rooms for acoustical performances, assessment of disorders of binaural hearing, assessment of speech-understanding capabilities in acoustically adverse surroundings, auditory-scene mapping, assessment of spatial properties of product sounds as well as of the sense of envelopment and immersion, analysis of human spatial hearing in a multimodal world with, for example, the listeners moving in space and/or receiving additional visual and/or tactile cues

Semiotics of Sounds Evoking Motions: Categorization and Acoustic Features

The current study is part of a larger project aiming at offering intuitive mappings of control parameters piloting synthesis models by semantic descriptions of sounds, i.e. simple verbal labels related to various feelings, emotions, gestures or motions. Hence, this work is directly related to the general problem of semiotics of sounds. We here put a special interest in sounds evoking different perceived motions. In this paper, the experimental design of the listening tests is described and the results obtained from behavioural data are discussed. Then a set of signal descriptors is compared to categories using feature selection methods. A special interest is given to applications for sound synthesis