ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

Speaker dependent temporal constraints combined with speaker independent HMM for speech recognition in noise

Néstor Becerra Yoma

This paper addresses the problem of speech recognition in noise using speaker-dependent temporal constraints in the Viterbi algorithm in combination with speaker-independent HMM. It is shown that the speaker-dependent re-estimation of state duration parameters requires a low computational load and a small training database, and can lead to reductions in the error rate as high as 30% or 40% with clean signals and with signals corrupted by additive noise, without noise canceling methods. Moreover, the approach here covered could also be seen as a speaker adaptation method in which only temporal restrictions parameters are adapted.


Cite as: Yoma, N.B. (2000) Speaker dependent temporal constraints combined with speaker independent HMM for speech recognition in noise. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 3, 526-529

@inproceedings{yoma00_icslp,
  author={Néstor Becerra Yoma},
  title={{Speaker dependent temporal constraints combined with speaker independent HMM for speech recognition in noise}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 3, 526-529}
}