Noise-Robust Speaker Recognition Combining Missing Data Techniques and Universal Background Modeling - May, T.; van de Par, S.; Kohlrausch, A. (IEEE transactions on audio, speech, and language processing, 2012)
Keywords: Adaptation model; Applied sciences; Automatic speaker recognition (ASR); Data models; Estimation; Exact sciences and technology; Information, signal and communications theory; mask estimation; Materials; mel frequency cepstral coefficient (MFCC); Miscellaneous; missing data; noise robustness; Signal processing; Speaker recognition; Speech; Speech processing; Speech recognition; Telecommunications and information theory; universal background model (UBM); Audio signal processing; Background; mel frequency cepstral coefficient (MFCC); universal background model (UBM); Non stationary condition; Speaker adaptation; Speaker recognition; Acoustic signal processing; Background noise; Modeling; Missing data; Automatic speaker recognition (ASR); Cepstral analysis; Noise immunity; Robustness; Automatic recognition; mask estimation; Speech processing; noise robustness