Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC)

Sudarsana Reddy Kadiri, Bayya Yegnanarayana


In this study, classification of the phonation modes in singing voice is carried out. Phonation modes in singing voice can be described using four categories: breathy, neutral, flow and pressed phonations. Previous studies on the classification of phonation modes use voice quality features derived from inverse filtering which lack in accuracy. This is due to difficulty in deriving the excitation source features using inverse filtering from singing voice. We propose to use the excitation source features that are derived directly from the signal. It is known that, the characteristics of the excitation source vary in different phonation types due to the vibration of the vocal folds together with the respiratory effort (lungs effort). In the present study, we are exploring excitation source features derived from the modified zero frequency filtering (ZFF) method. Apart from excitation source features, we also explore cepstral coefficients derived from single frequency filtering (SFF) method for the analysis and classification of phonation types in singing voice.


 DOI: 10.21437/Interspeech.2018-2502

Cite as: Kadiri, S.R., Yegnanarayana, B. (2018) Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC). Proc. Interspeech 2018, 441-445, DOI: 10.21437/Interspeech.2018-2502.


@inproceedings{Kadiri2018,
  author={Sudarsana Reddy Kadiri and Bayya Yegnanarayana},
  title={Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC)},
  year=2018,
  booktitle={Proc. Interspeech 2018},
  pages={441--445},
  doi={10.21437/Interspeech.2018-2502},
  url={http://dx.doi.org/10.21437/Interspeech.2018-2502}
}