Sentence examples for recognizer based on from inspiring English sources

The second level refines the detection on the selected segments, by using a speech recognizer based on a query-driven decoding algorithm.

A supervised pattern recognizer based on hidden Markov models (HMM) with Gaussian mixture model (GMM) densities [33] is used for segmentation.

Michael Price, a graduate student who worked on the project, gave TechCrunch a bit more detail regarding the system's built-in speech detection, The chip that we demonstrated includes a continuous speech recognizer based on hidden Markov Models (HMMs).

Further, in order to eliminate common English words from the list of candidates, we created a common English word recognizer based on a general-purpose English corpora.

Gaussian mixture models (GMMs) are commonly used in state-of-the-art speech recognizers based on hidden Markov models (HMMs) to model the state probability density functions (PDFs) [1].

This phoneme recognizer bases on a TANDEM feature extraction architecture, which merges state phoneme posterior vectors computed from a neural network and PLP coefficients to build the feature vectors.

The final decision of the face recognizer is based on the weighted sum of the errors computed from each of the regions.

This keyword recognizer is based on the controlled vocabularies provided by CTD.

(Or it might not be. My skepticism of pattern recognizers is based on drawing patterns from the past results of pattern recognizers).

The AUDIMUS phoneme recognizers are based on hybrid connectionist methods [87].

This system explicitly models the target language, i.e., Spanish, using a specific phoneme recognizer and is based on the fusion of different phoneme recognizers, since these improve the system performance.