Data selectionSpeech modelSpeech recognitionA study was conducted to investigate a way of selecting recognized speech samples efficiently by estimating the prior confidence before speech recognition process. The proposed prior confidence estimation technique utilized the acoustic model that was used in the ...
Eng Siong ChngSpringer, ChamY. Khassanov et al., "Unsupervised language model adaptation by data selection for speech recognition," in Asian Conference on In- telligent Information and Database Systems, ACIIDS. Springer, 2017, pp. 508-517....
Experimental results on Aurora3 databases show that our approach can achieve consistently significant improvements of recognition performance in the well-matched (WM) condition among four different European languages. 展开 关键词: data selection stereo-based stochastic mapping HMM-based speech synthesis ...
Training data selection for example utterances Select utterances for your training set based on the following criteria: Real data is best: Real data from client application: Select utterances that are real data from your client application. If the customer sends a web form with their inquiry today...
Exploring Speech Recognition And Synthesis APIs In Windows Vista Introducing APIs for Creating XML Paper Specification Documents Reusable Project And Item Templates using Visual Studio and XML Unit Testing: Writing Maintainable Unit Tests Save Time And Tears ...
will be useful for developing and evaluating models that improve the quality of the reconstructed speech, such as those that are more informed about speech processes (e.g. Unit Selection29) or neural network approaches with enough trainable parameters to produce high-quality speech26,27,76,77,78...
Using the CV error both for model selection and model assessment represents a kind of ‘double-dipping’ which will lead to an estimated PE lower than the actual one just by chance, as we had M different attempts to compute a CV error [28,54,77,78,79]. To compute a true out-of-sam...
In the experiments, ASR and manual input modes are compared for three data entry tasks: textual phrase entry, selection from a list, and numerical data entry. To effect fair comparisons, the tasks minimised the transaction cycle for each input mode and data type and the main comparisons use ...
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Note that the impact score of a variable does not represent the importance of the variable and is not intended for variable selection. This is similar to the situation of a logistic regression; the impact scores are analogous to the odds ratios, while the variable importance is analogous to th...