Speaker segmentation and clustering

Speaker segmentation and clustering

This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in an audio stream, whereas speaker clustering aims at grouping speech segments based on speaker characteristics. Model-based, metric-based, and hybrid speaker segmentation algorithms are reviewed. Concerning speaker clu...

Speaker segmentation and clustering in meetings

This paper describes the issue of automatic speaker segmentation and clustering for natural, multi-speaker meeting conversations. Two systems were developed and evaluated in the NIST RT-04S Meeting Recognition Evaluation, the Multiple Distant Microphone (MDM) system and the Individual Headset Microphone (IHM) system. The MDM system achieved a speaker diarization performance of 28.17%. This syst...

Robust Speaker segmentation and clustering for Meetings

UBM Based Speaker Segmentation and Clustering for 2-Speaker Detection

In this paper, a speaker segmentation method based on log-likelihood ratio score (LLRS) over universal background model (UBM) and a speaker clustering method based on difference of log-likelihood scores between two speaker models are proposed. During the segmentation process, the LLRS between two adjacent speech segments over UBM is used as a distance measure,while during the clustering process...

Speaker segmentation and clustering for simultaneously presented speech

This paper proposes a new scheme used to segment and cluster speech segments on an unsupervised basis in cases where multiple speakers are presented simultaneously at different SNRs. The new elements in our work are in the development of new feature for segmenting and clustering simultaneously-presented speech, the procedure for identifying a candidate set of possible speaker-change points, and...