… multi-speaker tasks of detection, tracking, and segmentation of speakers as included in recent
NIST Speaker Recognition … We consider how performance for the two-speaker detection …

… speaker recognition assumes that there is only one speaker … , speech data collected from
many real-world environments … This paper investigated speaker recognition with multi-speaker …

… In this work, the main objective is to study the speaker recognition performance using the
combined TSP methods as a pre-processing stage. Text-independent speaker identification …

… Another contribution of this paper is to improve the robustness of our model in reverberant
environments. To do so, we incorporate an external dereverberation method, the weighed …

… where multiple speakers speak simultaneously [1, 2]. Single speaker identification systems
… the speaker recognition systems to handle multi-speaker audio files and classify them [1, 2]. …

… were used in this work from the different environment to increase the matching between training
… Figure 4 illustrates the training stage using a multi-speaker utterances approach. During …

… is the problem of determining the individual speakers in a multi-speaker environment or …
our speaker identification system, thus this problem is reduced to a singlespeaker identification …

… speech recognition in a multi-speaker environment. It identifies the speaker, recognizes the
speech … output obtained from speech to text conversion along with the identified speaker’s …

… been applied for robust speech recognition in noisy environment. Since some of the
intermediate stages of speaker verification are similar to that of speech recognition, they may be …

… Likewise, ASR requires speech separation to work in an unconstrained environment.
Although these two components can be trained in isolation and connected after the fact, this …