Contaminated speech training methods for robust DNN-HMM distant speech recognition
Table 2: PER(%) obtained with Symmetric and Asymmetric context windows composed of 17 frames. “P” refers to the number of past frames, while “F” refers to future frames.
['[ITALIC] TestTrain', 'Context Window P16-F0', 'Context Window P10-F6', 'Context Window P8-F8', 'Context Window P6-F10', 'Context Window P0-F16']
From Fig. Conversely, the role of the past information seems significantly more important in distant-talking scenarios, since a faster decrease of the PER(%) is progressively obtained when past frames are concatenated.