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Confidence Scoring for Speech Understanding Systems
Confidence Scoring Speech Understanding Systems
2015/3/12
Confidence Scoring for Speech Understanding Systems.
The Use of Dynamic Reliability Scoring in Speech Recognition
Dynamic Reliability Scoring Speech Recognition
2015/3/11
The Use of Dynamic Reliability Scoring in Speech Recognition.
Integrating Recognition Confidence Scoring with Language Understanding and Dialogue Modeling
Language Understanding Dialogue Modeling
2015/3/11
Integrating Recognition Confidence Scoring with Language Understanding and Dialogue Modeling.
Recognition Confidence Scoring for Use in Speech Understanding Systems
Recognition Confidence Scoring Speech Understanding Systems
2015/3/11
Recognition Confidence Scoring for Use in Speech Understanding Systems.
Word and Phone Level Acoustic Confidence Scoring.
A Comparison and Combination of Methods for OOV Word Detection and Word Confidence Scoring
OOV Word Detection Word Confidence Scoring
2015/3/11
A Comparison and Combination of Methods for OOV Word Detection and Word Confidence Scoring.
Recognition confidence scoring and its use in speech understanding systems
Recognition confidence speech understanding systems
2015/3/11
Recognition confidence scoring and its use in speech understanding systems.
Using Untranscribed User Utterances for Improving Language Models based on Confidence Scoring
Language Models Confidence Scoring
2015/3/11
Using Untranscribed User Utterances for Improving Language Models based on Confidence Scoring.
Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm
Parse-and-Paraphrase Paradigm Review Sentiment
2015/3/10
Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm.
Cosine Similarity Scoring without Score Normalization Techniques
Similarity Scoring Score Normalization Techniques
2015/3/10
In recent work [1], a simplified and highly effective approach to
speaker recognition based on the cosine similarity between lowdimensional
vectors, termed ivectors, defined in a total variability
...
Accurate scoring of syntactic structures
such as head-modifier arcs in dependency parsing typically requires rich, highdimensional feature representations.
ON THE EMBEDDED MULTIPLE-MODEL SCORING SCHEME FOR SPEECH RECOGNITION
ON THE EMBEDDED MULTIPLE-MODEL SCORING SCHEME SPEECH RECOGNITION
2013/6/27
A traditional hidden Markov model (HMM) consists of two stochastic processes, a hidden state transition process and a symbol-generating (output observation) process. Researches show that the descripti...