How information transmission processes between individuals are shaped by natural selection is a key question for the understanding of the evolution of acoustic communication systems. Environmental acoustics predict that signal structure will differ depending on general features of the habitat. Social features, like individual spacing and mating behavior, may also be important for the design of ...

Adaptive training aims at reducing the influence of speaker, channel and environment variability on the acoustic models. We describe an acoustic normalization approach to adaptive training. Phonetically irrelevant acoustic variability is reduced at the beginning of the training procedure w. r. t. a set of target models. The set of target models can be a set of HMMs or a Gaussian mixture model (...

The problem of creating a multiuser hands-free immersive telecommunications environment poses many challenges for acoustic signal processing. The most pressing is the creation of a fast multi-channel acoustic echo canceller (MCAEC) to eliminate acoustic feedback created in the speaker-microphone loop. Traditional multi-channel adaptive algorithms for echo cancellation are not fast enough to wor...

Many environmental factors may contribute to acoustic clutter and adversely affect the performance of tactical sonar by introducing false alarms in the system. During the Main Acoustic Experiment (MAE) 2003 of the Acoustic Clutter program, densely populated fish shoals were identified to be the dominant cause of shallow water acoustic clutter in the New Jersey Continental Shelf. The mixing of c...

Acoustic neuromas (AN) are schwann cell-derived tumors that commonly arise from the vestibular portion of the eighth cranial nerve also known as vestibular schwannoma(VS) causes unilateral hearing loss, tinnitus, vertigo and unsteadiness. In many cases, the tumor size may remain unchanged for many years following diagnosis, which is typically made by MRI. In the majority of cases the tumor is s...

In this work we report on the use of an on-line acoustic compensation technique for robust speech recognition. With this technique acoustic mismatch between training and actual conditions is reduced through acoustic mapping. At recognition stage, observation vectors delivered by the acoustic front-end are mapped into a reference acoustic space, while input data are exploited to update the stati...

Underwater acoustic sensor networks (UASNs) consist of movable and stationary nodes, which usually communicate using the acoustic channel. Underwater acoustic communication networks are particularly susceptible to malicious attacks due to the high transmission power requirements, rapidly changing channel characteristics, multi-path echoes, high bit error rates, high ambient noise, high and vary...

This paper describes the simulation-based design methodology used in the eVADER project for the development of targeted acoustic warning devices for increased detectability of Hybrid and Electric Vehicles (HEVs) while, at the same time, reducing urban noise pollution compared to conventional acoustic pedestrian warning systems. A key component of this system is an external warning signal genera...

Combining several methods for contact free micro-manipulation of small particles such as cells or micro-organisms provides the advantages of each method in a single setup. Optical tweezers, which employ focused laser beams, offer very precise and selective handling of single particles. On the other hand, acoustic trapping with wavelengths of about 1 mm allows the simultaneous trapping of many, ...

Applications of underwater sensor networks involve environmental monitoring, disaster prevention, and resource detection. As the importance of these applications has recently grown, underwater sensor networks made up of sensor nodes have to be further investigated. However, little research has been performed to develop an underwater sensor node with communication functionality. In an underwater...