A method for the robust segmentation of foreground speech in the presence of background
degradation using zero frequency filtered signal (ZFFS) is proposed. The speech signal from …

Pitch estimation is quite crucial to many applications. Although a number of estimation
methods working in different domains have been put forward, there are still demands for …

This paper presents a new blind speech separation algorithm using beamforming technique
that is capable of extracting each individual speech signal from a mixture of three speech …

The segregation of concurrent speakers and other sound sources is an important ability of
the human auditory system, but is missing in most current systems for automatic speech …

A pre-processor to speech recognition, audio source separation may mitigate the problem of
quality degradation of individual signal recognition in scenarios like cock-tail party …

Spatial localization given measurements of the sound field at a microphone array is a
computationally challenging task. While big progress has been achieved in Azimuth …

This paper presents a new time–frequency approach for recovering source contribution to
two convolutive mixtures. The separation task is performed on two steps: Each mixture is …

This paper investigates the problem of subband speech separation from a mixture of two
speech signals in a room environment. Due to the lack of source information, a sound …

In this paper, we present a new Time-Frequency approach for recovering sources'
contribution to two convolutive mixtures. The separation task is performed on two steps …

Pitch estimation is quite crucial to many applications. Although a number of estimation
methods working in different domains have been put forward, there are still demands for …