I am trying to create a basic voice based attendance system as a beginner project for biometric based security. I am using MathWorks’ implementation of X-Vector systems for this project. Based on this link’s implementation of X-Vector based speaker verification : https://www.mathworks.com/help/audio/ug/speaker-recognition-using-x-vectors.html, I have already trained the TDNN, X-Vector system and PLDA scoring. I have also obtained thresholds for the PLDA and Cosine Similarity scoring here based on the Detection Error Tradeoff figure using the X-axis values of the EER.
Since the above link states that I-Vector and X-Vector share the same classifier backend ("The x-vector system backend, or classifier, is the same as developed for i-vector systems. For details on the backend, see Speaker Verification Using i-vectors and ivectorSystem."), how would I adapt the ivectorsystem’s verify() function in the speaker verification using I-Vectors example to use X-Vectors instead per this link : https://www.mathworks.com/help/audio/ref/ivectorsystem.html? Presumably, in the X-Vector speaker recognition link, all the helper functions were probably wrapper functions for X-Vector.I am trying to create a basic voice based attendance system as a beginner project for biometric based security. I am using MathWorks’ implementation of X-Vector systems for this project. Based on this link’s implementation of X-Vector based speaker verification : https://www.mathworks.com/help/audio/ug/speaker-recognition-using-x-vectors.html, I have already trained the TDNN, X-Vector system and PLDA scoring. I have also obtained thresholds for the PLDA and Cosine Similarity scoring here based on the Detection Error Tradeoff figure using the X-axis values of the EER.
Since the above link states that I-Vector and X-Vector share the same classifier backend ("The x-vector system backend, or classifier, is the same as developed for i-vector systems. For details on the backend, see Speaker Verification Using i-vectors and ivectorSystem."), how would I adapt the ivectorsystem’s verify() function in the speaker verification using I-Vectors example to use X-Vectors instead per this link : https://www.mathworks.com/help/audio/ref/ivectorsystem.html? Presumably, in the X-Vector speaker recognition link, all the helper functions were probably wrapper functions for X-Vector. I am trying to create a basic voice based attendance system as a beginner project for biometric based security. I am using MathWorks’ implementation of X-Vector systems for this project. Based on this link’s implementation of X-Vector based speaker verification : https://www.mathworks.com/help/audio/ug/speaker-recognition-using-x-vectors.html, I have already trained the TDNN, X-Vector system and PLDA scoring. I have also obtained thresholds for the PLDA and Cosine Similarity scoring here based on the Detection Error Tradeoff figure using the X-axis values of the EER.
Since the above link states that I-Vector and X-Vector share the same classifier backend ("The x-vector system backend, or classifier, is the same as developed for i-vector systems. For details on the backend, see Speaker Verification Using i-vectors and ivectorSystem."), how would I adapt the ivectorsystem’s verify() function in the speaker verification using I-Vectors example to use X-Vectors instead per this link : https://www.mathworks.com/help/audio/ref/ivectorsystem.html? Presumably, in the X-Vector speaker recognition link, all the helper functions were probably wrapper functions for X-Vector. audio processing, speaker recognition MATLAB Answers — New Questions

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