• Published 2019

The CUHK Dysarthric Speech Recognition Systems for English and Cantonese

@inproceedings{Hu2019TheCD,
  title={The CUHK Dysarthric Speech Recognition Systems for English and Cantonese},
  author={Shoukang Hu and Shansong Liu and Heng Fai Chang and Mengzhe Geng and Jiani Chen and Chung and To Ka Hei and Jianwei Yu and Ka Ho Wong and Xunying Liu and Helen Meng},
  year={2019}
}
Speech disorders affect many people around the world and introduce a negative impact on their quality of life. Dysarthria is a neural-motor speech disorder that obstructs the normal production of speech. Current automatic speech recognition (ASR) systems are developed for normal speech. They are not suitable for accurate recognition of disordered speech. To the best of our knowledge, the majority of disordered speech recognition systems developed to date are for English. In this paper, we… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 10 REFERENCES

Development of a Cantonese dysarthric speech corpus

VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

A pitch extraction algorithm tuned for automatic speech recognition

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Dysarthric speech database for universal access research

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)

VIEW 1 EXCERPT

On the use of hidden Markov modelling for recognition of dysarthric speech.

VIEW 1 EXCERPT