Feature Extraction for Voice-driven Synthesis

Janer J. Feature Extraction for Voice-driven Synthesis. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6414. Available from: https://aes.org/publications/elibrary-page/?id=13130

@inproceedings{Janer2005_13130,
  author = {Janer, Jordi},
  title = {{Feature Extraction for Voice-driven Synthesis}},
  booktitle = {AES Convention 118},
  note = {Paper 6414},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13130}
}

TY  - CPAPER
TI  - Feature Extraction for Voice-driven Synthesis
AU  - Janer, Jordi
T2  - AES Convention 118
M1  - Paper 6414
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13130
PB  - Audio Engineering Society
LA  - en
AB  - This paper explores the singing voice from an unusual perspective, not as a musical instrument but as a musical controller. A set of spectral processing algorithms extract features form the input voice. These features are categorized in four groups: excitation, vocal tract, voice quality and context. The extracted values are then transmitted as Open Sound Control (OSC) messages to be used in an external synthesis engine. In this document, we provide first a technical description of the algorithms, and in a second part, we detail the components of the system. A practical example of voice-driven synthesis using PureData (Pd) is also presented.
ER  -