Introduction to Digital Speech Processing

By Lawrence R. Rabiner, Ronald W. Schafer. Foundations and Trends® in Signal Processing, 2007

460 citations recorded by the source corpus.

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Invariances and Data Augmentation for Supervised Music Transcription (2017, background): “This combats the spectral leakage phenomenon caused by boundary effects introduced by the finite-window frequency analysis [20].”
A Mathematical Motivation for Complex-Valued Convolutional Networks (2015, background): “…in the original work of Daubechies (1992), Meyer (1993), Coifman et al. (1994), Coifman and Donoho (1995), Simoncelli and Freeman (1995), Meyer and Coifman (1997), LeCun et al. (1998), Donoho et al. (2003), Srivastava et al. (2003), Rabiner and Schafer (2007), and Mallat (2008), for example.”
Action and Event Recognition with Fisher Vectors on a Compact Feature Set (2013, unknown): “We did, however, experiment with adding audio features: the mel-frequency cepstral coefficients (MFCC) and their first and second derivatives [32].”
Temporal Localization of Actions with Actoms (2013, unknown): “Note that the sequential approaches can also be applied in a similar sliding window manner, such as in [23] with DTW and in [37] with HMMs. Volumetric methods, however, often require the videos to be spatio-temporally aligned.”