Detection of acoustic phonetic landmarks is useful for a variety of speech processing applications such as automatic speech recognition.The majority of existing methods use Melfrequency Cepstral Coefficients (MFCCs) describing the short time power spectral envelope of the speech signal. This paper hypothesizes that a different feature extraction method can be used to complement MFCCs by capturi...

In this work, a beat-frequency encoded fiber laser hydrophone is developed for high-resolution acoustic detection by using an elastic corrugated diaphragm. The diaphragm is center-supported by the fiber. Incident acoustic waves deform the diaphragm and induce a concentrated lateral load on the laser cavity. The acoustically induced perturbation changes local optical phases and frequency-modulat...

According to the demands of current pipeline detection systems, the above-ground marker (AGM) system based on sound detection principle has been a major development trend in pipeline technology. A novel MEMS acoustic vector sensor for AGM systems which has advantages of high sensitivity, high signal-to-noise ratio (SNR), and good low frequency performance has been put forward. Firstly, it is pr...

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 presents an automatic system for note transcription of Irish traditional flute music containing ornamentation. This is a challenging problem due to the soft nature of onsets and short durations of ornaments. The proposed automatic transcription system is based on hidden Markov models, with separate models being built for notes and for single-note ornaments. Mel-frequency cepstral coe...

An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandat...

Accuracy of automatic speaker recognition (ASV) systems degrades severely in the presence of background noise. In this paper, we study the use of additional side information provided by a body-conducted sensor, throat microphone. Throat microphone signal is much less affected by background noise in comparison to acoustic microphone signal. This makes throat microphones potentially useful for fe...

The use of conventional neutrino telescope methods and technology for detecting neutrinos with energies above 1EeV from astrophysical sources would be prohibitively expensive and may turn out to be technically not feasible. Acoustic detection is a promising alternative for future deep-sea neutrino telescopes operating in this energy regime. It utilises the effect that the energy deposit of the ...