Springer handbook of speech processing

By Jacob Benesty. Springer Handbooks, 2007

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Emotional Voice Conversion: Theory, Databases and ESD (2021, methodology): “In emotional speech synthesis, both rule-based (Benesty et al., 2007; Zovato et al., 2004), and datadriven techniques with statistical modeling (Barra-Chicote et al., 2010; Yamagishi et al., 2005) or deep learning methods (An et al., 2017; Lorenzo-Trueba et al., 2018a) rely on speech databases for…”
A Comparison of Recent Neural Vocoders for Speech Signal Reconstruction (2019, methodology): “From the magnitude spectrogram matrix A , it is straightforward to compute the mel-scaled [10] with M ∈ R B × K ≥ 0 being a suitable transformation matrix that contains B ∈ N rows with the typical, triangular shaped mel-ﬁlter weights.”
Design, analysis and experimental evaluation of block based transformation in MFCC computation for speaker recognition (2012, methodology): “The details of speaker verification system implementation and score calculation techniques using adapted GMM are concisely available in (Benesty et al., 2007; Kinnunen and Li, 2010 ).”