ISCA Archive Eurospeech 2001
ISCA Archive Eurospeech 2001

Robust speech recognition based on selective use of missing frequency band HMMs

Takayoshi Kawamura, Kazuya Takeda, Fumitada Itakura

In this paper, we propose a multi-stream approach that selectively uses Missing Frequency Band HMMs (MFB-HMM) that is trained on the band-eliminated speech. This makes the model insensitive to the noise in the missing frequency band. With multiple MFB-HMMs of different missing frequency bands, the proposed recognition system is robust in various types of noise conditions. Recognition experiments show that the selective use of the MFB-HMMs is very effective in narrow band noise condition even if the noise is unstationary, however, the improvements of the performance to general noisy conditions, e.g. in-car noise and music sound, are not as high as in the narrow band noise case. The results of the experiments also show that the optimal selection of the MFB-HMM significantly improves the performance regardless of the type of the noise; therefore, the model selection measure is the key issue in this method.


doi: 10.21437/Eurospeech.2001-280

Cite as: Kawamura, T., Takeda, K., Itakura, F. (2001) Robust speech recognition based on selective use of missing frequency band HMMs. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 1115-1118, doi: 10.21437/Eurospeech.2001-280

@inproceedings{kawamura01_eurospeech,
  author={Takayoshi Kawamura and Kazuya Takeda and Fumitada Itakura},
  title={{Robust speech recognition based on selective use of missing frequency band HMMs}},
  year=2001,
  booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
  pages={1115--1118},
  doi={10.21437/Eurospeech.2001-280}
}