Automatic speech decomposition and speech coding using MDCT-based hidden Markov chain and wavelet-based hidden Markov tree models

@article{Tantibundhit2005AutomaticSD,
  title={Automatic speech decomposition and speech coding using MDCT-based hidden Markov chain and wavelet-based hidden Markov tree models},
  author={Charturong Tantibundhit and J. Robert Boston and Ching Chung Li and Amro El-Jaroudi},
  journal={IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005.},
  year={2005},
  pages={207-210}
}
Speech is decomposed into three different components, based on the idea of Daudet and Torresani (Signal Processing, vol. 82, no. 11, pp. 1595, 2002), as signal = tonal + transient + residual. The tonal and transient components are identified using a small number of coefficients of the modified discrete cosine transform (MDCT) and the wavelet transform, respectively. Determinations of the significant MDCT and wavelet coefficients in the algorithm of Daudet and Torresani, referred as the D&T… CONTINUE READING

Figures and Tables from this paper.

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-2 OF 2 CITATIONS

Speech Enhancement Using Transient Speech Components

  • 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
  • 2006
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-10 OF 15 REFERENCES

Hidden Markov trees of wavelet coefficients for transient detection in audiophonic signals

S. Molla, B. Torrésani
  • Proceedings of the Conference Self-Similarity and Applications, Clermont-Ferrand, 2002.
  • 2002
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Hybrid representations for audiophonic signal encoding

  • Signal Processing
  • 2002
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Relative energy and intelligibility of transient speech information

  • Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
  • 2005
VIEW 1 EXCERPT