As soon as more languages are considered the training and decoding complexity of the speech recognizer increases.
Our new architecture offers a solution to the combinatoric problems of training and decoding for multiple languages.
P X) is independent from the questions asked in the DT and is ignored in training and decoding.
The architecture of this system including feature extraction, training and decoding (i.e. recognition) blocks is shown in Figure 1.
The DNN-HMM-based training and decoding algorithms have been presented in Section 4, and in Section 5, the experimental results are reported and discussed.
While the proposed approach is relatively close to the CUED-RNNLMs reported results with the same dataset, the proposed systems training and decoding times are much improved compared to those of the RNNLM and CUED-RNNLM.
Methods: We describe a discriminative undirected graphical model to label gene-expression time-series image data, with an efficient training and decoding method based on the junction tree algorithm.
When compared among three hybrid RNNLM variations, both the training and decoding time can be saved by more than half in H-R2 without affecting recognition accuracy.
HMMs were trained and decoded using the implementation written by A. Krogh (unpublished).
