Sentence examples for recognizer based on a 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.

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.

The chip that we demonstrated includes a continuous speech recognizer based on hidden Markov Models (HMMs).

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).

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.

Regarding abbreviation resolution, we adapted a simple but effective abbreviation definition recognizer [28], which is based on a set of pattern-matching rules to identify abbreviations and their full forms.

In this study, we present a hybrid named entity recognizer for Turkish, which is based on a manually engineered rule based recognizer that we have proposed.

In this paper, we introduced an ensemble model combination and adaptation based ASR system with two characteristics: (1) large-scale combination of multiple ASR systems based on a Recognizer Output Voting Error Reduction (ROVER) system, and (2) multi-pass unsupervised speaker adaptation for deep neural network acoustic models and topic adaptation on language model.

The other is based on a phone recognizer and a search in the 1-best phone sequence from an edit distance approach.