We’ve narrowed the focus of our research to tracking the biomechanical properties of the voice from general speech to the singing process.
We’re aiming to track the following three facets:
1) Facial Muscles
Sensor 1: Geometric 3D, realtime, video tracking (Kinect).
Sensor 2: Topical sensors. [Currently researching multiple topical sensor options; tilt switches, flex sensors, membrane potentiometer, etc. are on the table]
2) Air Flow and Breathing
Sensor 1: Barometric pressure sensor.
[Partially inspired by the following podcast on the human adaptation of speech control mechanisms, http://www.npr.org/templates/story/story.php?storyId=129083762 we’ve realized the importance of tracking air flow. A barometric sensor may not by the ideal air flow tracker but we are looking into alternates.]
3) Frequency and Pitch
Sensor 1: Direct-to-computer microphone.
Sensor 2: Sinusoidal partial editing analysis and resynthesis. [http://www.klingbeil.com/spear/]
Sensor 2 [ALT]: Simple tuner program.
Data To Be Gathered:
The airflow and facial positions of different frequencies. The goal is to associate particular pitches with particular facial muscle orientations. Airflow data will likely be used as a data type in the application process.
Final Application:
A musical interface that can reverse the data flow. Exact form and function of the interface will be informed by the research and testing findings.
Might be useful for you guys: http://www.youtube.com/watch?v=132O2wxp2jI