A scheme for binaural pre-processing of speech signals for input to a standard linear hearing aid has been proposed. The system is based on that of Toner & Campbell [1] who applied the Least Mean Squares (LMS) algorithm in sub-bands to speech signals from various acoustic environments and signal to noise ratios (SNR). The processing scheme attempts to take advantage of the multiple inputs to pe...

Everyday conversation frequently includes challenges to the clarity of the acoustic speech signal, including hearing impairment, background noise, and foreign accents. Although an obvious problem is the increased risk of making word identification errors, extracting meaning from a degraded acoustic signal is also cognitively demanding, which contributes to increased listening effort. The concep...

High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the field of music information extraction is largely heuristic in nature. We present here a heuristic-based generic approach for extracting automatically high-level music descriptors from acoustic signals. This approach is ...

Periodicities are found in speech signals, musical rhythms, biomedical signals and machine vibrations. In many signal processing applications, signals are assumed to be periodic or quasi-periodic. Especially in acoustic signal processing, signal models based on periodicities have been studied for speech and audio processing. The sinusoidal modelling has been proposed to transform an acoustic si...

The contribution focuses on the experimental basis of acoustic signal evaluation in a frequency domain using experimental data acquired by a sound-level meter Mediator 2238 from scanning of the acoustic signal arisen during the rock disintegration process by means of rotary drilling. The paper also focuses on the model of mathematical processing of parallel-scanned acoustic signal. The research...

We present an extremely simple and effective signal processing solution to the acoustic echo control problem. The approach is based on the concept of synchronous statistical adaptation of an acoustic echo canceler and a postfilter for residual echo suppression. The required convergence state of the echo canceler is estimated by a new statistical element of our system. Double talk detection is n...

The simulation of an auditory environment is audio signal processing depending on an acoustical model method and a given scene model. For signal processing we use a set of signal processing objects which can be glued to a signal processing network. The object structure depends on the requested acoustic model method in consideration of real-time aspects of an interactive virtual reality (VR). Th...

In this thesis, we develop and investigate novel signal processing techniques for underwater acoustic communication networks. Underwater acoustic channels differ from radio communication channels in the lower speed of signal propagation, richer and often sparse multipath arrivals, and more severe Doppler effect. Therefore, many signal processing techniques developed for radio communications may...

The quality of speech signals captured, for instance, by hearing-aid microphones or other mobile devices, can be easily degraded by the environmental noise in daily-life scenarios. Here, it will be beneficial to apply adaptive signal processing algorithms to reduce, for instance, undesired acoustic noise or reverberation in the signals. This will help to increase sound quality and intelligibili...