A Dual Channel Coupled Decoder for Fillers and Feedback

  title={A Dual Channel Coupled Decoder for Fillers and Feedback},
  author={Daniel Neiberg and Joakim Gustafson},
This study presents a dual channel decoder capable of modeling cross-speaker dependencies for segmentation and classification of fillers and feedbacks in conversational speech found in the DEAL corpus. For the same number of Gaussians per state, we have shown improvement in terms of average F-score for the successive addition of 1) increased frame rate from 10 ms to 50 ms 2) Joint Maximum Cross-Correlation (JMXC) features in a single channel decoder 3) a joint transition matrix which captures… CONTINUE READING
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