公开(公告)号：US09721569B2

公开(公告)日：2017-08-01

申请号：US14722489

申请日：2015-05-27

Applicant: INTEL CORPORATION

Inventor： Ohad Falik ,  Michael E Deisher ,  Ioannis Yannis Schoinas ,  Jenny Chang ,  Hai Ming Khor

IPC: G10L15/00 ,  G10L15/28 ,  G10L15/14

CPC classification number: G10L15/285 ,  G10L15/14

Abstract: Systems, apparatus and methods are described including operations for memory access via direct memory access engines, of a Gaussian Mixture Model Accelerator, corresponding to individual data streams.

公开(公告)号：US09653070B2

公开(公告)日：2017-05-16

申请号：US13732329

申请日：2012-12-31

Applicant: Intel Corporation

Inventor： Jenny Chang ,  Michael E. Deisher ,  Ravishankar Iyer

IPC: G10L15/00 ,  G10L15/14 ,  H04L12/28 ,  H04M1/64 ,  G06F7/00 ,  G06K9/00

CPC classification number: G10L15/14

Abstract: A disclosed speech processor includes a front end to receive a speech input and generate a feature vector indicative of a portion of the speech input and a Gaussian mixture (GMM) circuit to receive the feature vector, model any one of a plurality of GMM speech recognition algorithms, and generate a GMM score for the feature vector based on the GMM speech recognition algorithm modeled. In at least one embodiment, the GMM circuit includes a common compute block to generate feature a vector sum indicative of a weighted sum of differences squares between the feature vector and a mixture component of the GMM speech recognition algorithm. In at least one embodiment, the GMM speech recognition algorithm being modeled includes a plurality of Gaussian mixture components and the common compute block is operable to generate feature vector scores corresponding to each of the plurality of mixture components.