This survey focuses on two challenging speech processing topics, namely: speaker
segmentation and speaker clustering. Speaker segmentation aims at finding speaker …

Speaker indexing or diarization is an important task in audio processing and retrieval.
Speaker diarization is the process of labeling a speech signal with labels corresponding to …

In speaker identification, most of the computation originates from the distance or likelihood
computations between the feature vectors of the unknown speaker and the models in the …

Front-end or feature extractor is the first component in an automatic speaker recognition
system. Feature extraction transforms the raw speech signal into a compact but effective …

Unsupervised speaker indexing sequentially detects points where a speaker identity
changes in a multispeaker audio stream, and categorizes each speaker segment, without …

We present a multitier system for the remote administration of speech therapy to children
with apraxia of speech. The system uses a client-server architecture model and facilitates …

Speaker change detection (SCD) is an important task in dialog modeling. Our paper
addresses the problem of text-based SCD, which differs from existing audio-based studies …

An algorithm for automatic speaker segmentation based on the Bayesian information
criterion (BIC) is presented. BIC tests are not performed for every window shift, as previously …

A systematic four-step batch approach is presented for the second-order training of radial
basis function (RBF) neural networks for estimation. First, it is shown that second-order …

Speaker Change Detection (SCD) is a task of determining the time boundaries between
speech segments of different speakers. SCD system can be applied to many tasks, such as …