Improving Reference Speaker Weighting Adaptation by the Use of Maximum-Likelihood Reference Speakers

@article{Mak2006ImprovingRS,
  title={Improving Reference Speaker Weighting Adaptation by the Use of Maximum-Likelihood Reference Speakers},
  author={Brian Kan-Wing Mak and Tsz-Chung Lai and Roger Hsiao},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={1},
  pages={I-I}
}
We would like to revisit a simple fast adaptation technique called reference speaker weighting (RSW). RSW is similar to eigenvoice (EV) adaptation, and simply requires the model of a new speaker to lie on the span of a set of reference speaker vectors. In the original RSW, the reference speakers are computed through a hierarchical speaker clustering (HSC) algorithm using information such as the gender and speaking rate. We show in this paper that RSW adaptation may be improved if those training… CONTINUE READING
Highly Cited
This paper has 33 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
25 Citations
15 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 25 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Similar Papers

Loading similar papers…