The cocktail party problem, ie, tracing and recognizing the speech of a specific speaker
when multiple speakers talk simultaneously, is one of the critical problems yet to be solved …

Teaching and Researching Listening provides a focused, state-of-the-art treatment of the
linguistic, psycholinguistic and pragmatic processes that are involved in oral language use …

Robust speech recognition in everyday conditions requires the solution to a number of
challenging problems, not least the ability to handle multiple sound sources. The specific …

We investigate techniques based on deep neural networks (DNNs) for attacking the single-
channel multi-talker speech recognition problem. Our proposed approach contains five key …

The rapid momentum of the technology progress in the recent years has led to a tremendous
rise in the use of biometric authentication systems. The objective of this research is to …

We have described some of the problems with modeling mixed acoustic signals in the log
spectral domain using graphical models, as well as some current approaches to handling …

The objective of this research is to develop feature extraction and classification techniques
for the task of sound event recognition (SER) in unstructured environments. Although this …

Facing the rapidly growing amount of digital media, the need for an effective data
management is challenging technology. In this context, we approach the problem of …

In this paper, we present a novel system for joint speaker identification and speech
separation. For speaker identification a single-channel speaker identification algorithm is …

In this work, we study the problem of single-channel mixed speech recognition using deep
neural networks (DNNs). Using a multi-style training strategy on artificially mixed speech …