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(PDF) Speaker identification and clustering using ...
https://www.researchgate.net/publication/309916464_Speaker_identification_and_clustering_using_convolutional_neural_networks
identification refers to the task of inferring the speaker’s iden- tity of a new utterance, given a set of known v oice models. Speaker clustering describes the …
SPEAKER IDENTIFICATION AND CLUSTERING USING …
https://stdm.github.io/downloads/papers/MLSP_2016.pdf
2.3. Speaker clustering by identification networks For the speaker clustering task, we use a two-step approach: First, we train a standard speaker identification CNN as de-scribed above, but with a number of target speakers consid-erably larger than the expected maximal number of speaker clusters (e.g., 500 target speakers, if later on < 100 speaker
Speaker Model Clustering for Efficient Speaker …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.2169
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—In large population speaker identification (SI) systems, likelihood computations between an unknown speaker’s feature vectors and the registered speaker models can be very time-consuming and impose a bottleneck. For applications requiring fast SI, this is a recognized problem and …
Speaker Clustering - Vakyansh
https://open-speech-ekstep.github.io/speaker_clustering/
Speaker Clustering, or identification of speakers in the wild is mainly useful for audio sources with no mapping between audios and a speaker label/name. It is the task of identifying the unique speakers in a set of audio recordings (each belonging to exactly one speaker) without knowing who and how many speakers are present in the entire data.
COMPARISON OF CLUSTERING ALGORITHMS IN SPEAKER …
http://www.cs.joensuu.fi/pages/tkinnu/webpage/pdf/ComparisonClusteringAlgsSpeakerRec.pdf
In speaker identification, we match a given (unkown) speaker to the set of known speakers in a database. The database is constructed from the speech samples of each known speaker. Feature vectors are extracted from the samples by short-term spectral analysis, and processed further by vector quantization for locating the clusters in the feature space.
Speaker Model Clustering for Efficient Speaker ...
https://www.researchgate.net/publication/224399332_Speaker_Model_Clustering_for_Efficient_Speaker_Identification_in_Large_Population_Applications
Speaker clustering, is one of the most important methods in the fields of speech signal processing, such as speaker diarization, speech indexing and retrieval, speaker identification, speaker ...
Speaker Recognition - GitHub Pages
https://mahimg.github.io/Speaker-recognition/
These binary codes can thus be used for detecting speaker transition as well as speaker identification. 1st Dataset: 5 unique speakers with each speaker having equal speaking time. Visualization of Clusters generated by the GMM Model Density of each Cluster Speaker Identification To view the transition point of speakers click here
Speaker Model Clustering for Efficient Speaker ...
http://ece3.nmsu.edu/~pdeleon/Research/Publications/IEEETransASLP_2009.pdf
the cluster/speaker model hierarchy is utilized: first log-likelihoods are computed against the given cluster GMMs in order to select the appropriate cluster for searching. Then log-likelihoods are computed against those speaker models in the cluster in order to identify the speaker. Using a 40-speaker corpus, HSI requires only 30% of the calcula-tion time (compared to conventional …
Speaker identification analysis for SGMM with k-means and ...
https://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes210073
The maximum likelihood classifier approach is described for the speaker identification and the likelihood ratio hypothesis is discussed for the speaker verification using background speaker normalization. Leon et al. proposes GMM based speaker identification using simple k-means clustering results in greater speed up gains. The clustering method results in …
(PDF) Speaker Model Clustering for Efficient Speaker ...
https://www.academia.edu/1873573/Speaker_Model_Clustering_for_Efficient_Speaker_Identification_in_Large_Population_Applications
Speaker Model Clustering for Efficient Speaker Identification in Large Population Applications . × Close Log In. Log in with Facebook Log in with Google. or. Email. Password. Remember me on this computer. or reset password. Enter the email address you …
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