This paper presents a signal processing tool for analyzing and manipulating digitized acoustic wave fields, based on a spatio-temporal extension of the time–frequency represent...
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
We address the problem of detecting and locating narrowband tones in an undersampled signal. It is known that uniformly undersampled signals exhibit frequency aliasing, whereby th...
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...