Implementation of a text-independent Speaker Identification (SI) system based on Gaussian Mixture Models (GMMs).
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Updated
Mar 15, 2020 - MATLAB
Implementation of a text-independent Speaker Identification (SI) system based on Gaussian Mixture Models (GMMs).
Code will take the name of the speaker as an input and create 13 Recordings with different naming into the folder. For creating a dataset for Speaker Identification Using Pitch and MFCC example on mathworks
A simple text-dependent speaker-recognition system in two different approaches: LPC averaging and MFCC
A speaker recognition algorithm with GWO and PSO.
Implementation of a speaker identification and a speaker verification system based on Gaussian Mixture Models (GMM) in combination with and Universal Background Model (UBM) on the YOHO dataset in MATLAB.
⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The hi…
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