A speaker recognition method based on GMM using non-negative matrix factorization
Liming Huang, Dongbo Liu, Yu Ching Fang, Weibo Wang · 2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) · 2022
Speaker recognition enhances communication efficiency based on dialogue. In this paper, we propose a speaker recognition method based on feature fusion with nonnegative matrix decomposition (NMF). It uses NMF to decompose the speaker's speech spectrogram, extract features from the decomposed basis matrix, and perform feature fusion with Mel-frequency cepstral coefficients (MFCC). Experimental results show that the fused features improve speaker recognition accuracy in low signal-to-noise (SNR) environment. Comparison with other speaker recognition methods using MFCC features.