Biodiversity monitoring using audio recordings is achievable at a truly global scale via large-scale deployment of inexpensive, unattended recording stations or by large-scale crowdsourcing using recording and species recognition on mobile devices. The ability, however, to reliably identify vocalising animal species is limited by the fact that acoustic signatures of interest in such recordings ...

We present a Monte Carlo study of an underwater neutrino telescope based on the detection of acoustic signals generated by neutrino induced cascades. This provides a promising approach to instrument large detector volumes needed to detect the small flux of cosmic neutrinos at ultra-high energies (E 1 EeV). Acoustic signals are calculated based on the thermo-acoustic model. The signal is propaga...

Vehicles may be recognized from the sound from the sound they make when moving i.e. from their acoustic signature. These sounds may come from various sources including rotational parts, vibrations in the engine, friction between the tires and the pavement, wind effect, gears, fans. Similar vehicles working in comparable conditions would have a similar acoustic signature that could be used for r...

Diverse animal species, from insects to humans, utilize acoustic signals for communication. Studies of the neural basis for song or speech production have focused almost exclusively on the generation of spectral and temporal patterns, but animals can also adjust acoustic signal intensity when communicating. For example, humans naturally regulate the loudness of speech in accord with a visual es...

In this paper, a model for MEMS capacitive microphone is presented for integrated circuits.  The microphone has a diaphragm thickness of 1 μm, 0.5 × 0.5 mm2 dimension, and an air gap of 1.0 μm. Using the analytical and simulation results, the important features of MEMS capacitive microphone such as pull-in voltage and sensitivity are obtained 3.8v and 6.916 mV/Pa, respectively while there is no...

The pitch-synchronous analysis that is used in several areas of speech processing often requires robust detection of the instants of glottal closure and opening. In this paper we derive expressions for the flow of acoustic energy in the lossless-tube model of the vocal tract and show how linear predictive analysis may be used to estimate the waveform of acoustic input power at the glottis. We d...

When listening to speech in everyday-life situations, our cognitive system must often cope with signal instabilities such as sudden breaks, mispronunciations, interfering noises or reverberations potentially causing disruptions at the acoustic/phonetic interface and preventing efficient lexical access and semantic integration. The physiological mechanisms allowing listeners to react instantaneo...

The aircraft passive sonic detects and identification technology as a traditional means of reconnaissance is an important component of airborne early-warning system. Using the sound wave what the acoustic targets produces in the rate process, to identify the targets is the basic task of passive acoustic detection system. This study using modern signal processing method studies the wavelet trans...

The presentation proposes a method for the measurement of cycle lengths in voiced speech. The background is the study of acoustic cues of slow (vocal tremor) and fast (vocal jitter) perturbations of the vocal frequency. Here, these acoustic cues are obtained by means of a temporal method that detects speech cycles via the so-called salience of the speech signal samples. The method does not requ...

Water detection in hydrocarbon emulsions represents a serious challenge in petroleum production industry. In this paper, a systematic and an applicable method of water detection in hydrocarbon emulsion is achieved using thermoacoustic effect. The study focused on sensing the presence of water in kerosene using the established correlation between the content of hydrocarbon emulsion and the chara...