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See also: Senones
- plural of
- 2016, Seyed Omid Sadjadi, Sriram Ganapathy, Jason W. Pelecanos, “The IBM 2016 Speaker Recognition System”, in arXiv:
- The techniques include: 1) a nearest-neighbor discriminant analysis (NDA) approach that is formulated to alleviate some of the limitations associated with the conventional linear discriminant analysis (LDA) that assumes Gaussian class-conditional distributions, 2) the application of speaker- and channel-adapted features, which are derived from an automatic speech recognition (ASR) system, for speaker recognition, and 3) the use of a deep neural network (DNN) acoustic model with a large number of output units (~10k senones) to compute the frame-level soft alignments required in the i-vector estimation process.