Automatic species classification of birds from their sound is a computational tool of increasing importance in ecology, conservation monitoring and vocal communication studies. To make classification useful in practice, it is crucial to improve its accuracy while ensuring that it can run at big data scales. Many approaches use acoustic measures based on spectrogram-type data, such as the Mel-fr...

Classical music performers use instruments to transform the symbolic notation of the score into sound which is ultimately perceived by a listener. For acoustic instruments, the timbre of the resulting sound is assumed to be strongly linked to the physical and acoustical properties of the instrument itself. However, rather little is known about how much influence the player has over the timbre o...

Models of auditory processing, particularly of speech, face many difficulties. These difficulties include variability among speakers, variability in speech rate and robustness to moderate distortions such as time compression. In contrast to the 'invariance of percept' (across different speakers, of different sexes, using different intonation, and so on) is the observation that we are sensitive ...

Auditory cortical activity is entrained to the temporal envelope of speech, which corresponds to the syllabic rhythm of speech. Such entrained cortical activity can be measured from subjects naturally listening to sentences or spoken passages, providing a reliable neural marker of online speech processing. A central question still remains to be answered about whether cortical entrained activity...

We survey the spectro-temporal properties of fast radio bursts from FRB 20121102A observed by earlier studies across a wide range frequencies. investigate 167 spanning frequencies 1--7.5GHz, durations less than 1 ms to approximately 10 ms, with low and high energies, different wait-times. find this sample strong agreement inverse relationship between sub-burst slope duration other predictions m...

Many authentication applications involving automatic speaker verification (ASV) demand robust performance using short-duration, fixed or prompted text utterances. Text constraints not only reduce the phone-mismatch between enrolment and test utterances, which generally leads to improved performance, but also provide an ancillary level of security. This can take the form of explicit utterance ve...

Environmental sound classification (ESC) is a challenging problem due to the complexity of sounds. The performance heavily dependent on effectiveness representative features extracted from environmental However, ESC often suffers semantically irrelevant frames and silent frames. In order deal with this, we employ frame-level attention model focus relevant salient Specifically, first propose con...