Automatic speech recognition system and method using weighted confidence measure
First Claim
1. An automatic speech recognition method for identifying words from an input speech signal, comprising:
- providing at least one hypothesis recognition based on said input speech signal, said hypothesis recognition being an individual hypothesis word or a sequence of individual hypothesis words; and
computing, by a processing system, a confidence measure for said hypothesis recognition, based on said input speech signal, said computing a confidence measure comprising;
computing, by the processing system, differential contributions (Ci,t) to said confidence measure, each as a difference between a constrained acoustic score (SCVi,t) and an unconstrained acoustic score (SCLt); and
computing, by the processing system, said confidence measure based on said differential contributions (Ci,t), comprising;
weighting, by the processing system, each differential contribution (Ci,t) with a cumulative distribution function (Fξ
i) of the differential contribution (Ci,t), wherein a probability distribution of the weighted differential contribution is a uniform distribution.
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Abstract
An automatic speech recognition method for identifying words from an input speech signal includes providing at least one hypothesis recognition based on the input speech signal, the hypothesis recognition being an individual hypothesis word or a sequence of individual hypothesis words, and computing a confidence measure for the hypothesis recognition, based on the input speech signal, wherein computing a confidence measure includes computing differential contributions to the confidence measure, each as a difference between a constrained acoustic score and an unconstrained acoustic score, weighting each differential contribution by applying thereto a cumulative distribution function of the differential contribution, so as to make the distributions of the confidence measures homogeneous in terms of rejection capability, as the language, vocabulary and grammar vary, and computing the confidence measure by averaging the weighted differential contributions.
42 Citations
17 Claims
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1. An automatic speech recognition method for identifying words from an input speech signal, comprising:
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providing at least one hypothesis recognition based on said input speech signal, said hypothesis recognition being an individual hypothesis word or a sequence of individual hypothesis words; and computing, by a processing system, a confidence measure for said hypothesis recognition, based on said input speech signal, said computing a confidence measure comprising; computing, by the processing system, differential contributions (Ci,t) to said confidence measure, each as a difference between a constrained acoustic score (SCVi,t) and an unconstrained acoustic score (SCLt); and computing, by the processing system, said confidence measure based on said differential contributions (Ci,t), comprising; weighting, by the processing system, each differential contribution (Ci,t) with a cumulative distribution function (Fξ i ) of the differential contribution (Ci,t), wherein a probability distribution of the weighted differential contribution is a uniform distribution. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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Specification