Audio Signal Processing
![Two six-string guitars of the acoustic steel-string type](https://www.boisestate.edu/vip/wp-content/uploads/sites/158/2019/05/VIP5-300x198.png)
Why work on Audio Signal Processing?
The initial focus of this VIP will be audio source separation, which is the creation of individual audio tracks for instruments, voices, etc. from a single audio recording. If you have an interest in music and technology we are looking for you!
![Frequency versus time representation of a music audio signal](https://www.boisestate.edu/vip/wp-content/uploads/sites/158/2019/05/VIP1-300x264.png)
The initial research focus will be on audio source separation of individual string contributions in guitar audio, which has applications to tablature transcription, fixing audio with mis-tuned strings, and conversion of pitches to a just intonation (something that is not physically possible to play directly on a fretted instrument). If the last of these applications can be accomplished in real time it could be turned into an interesting commercial product in the form of a guitar “pedal”. Audio signal processing can be used in systems that help the aurally impaired.
![Just intonation ratios with note names for the C major scale](https://www.boisestate.edu/vip/wp-content/uploads/sites/158/2019/05/VIP3-1-300x240.png)
![Energy versus time representation of a stereo music audio signal](https://www.boisestate.edu/vip/wp-content/uploads/sites/158/2019/05/VIP2-300x135.png)
Experience Gained
Students will be able to transform and analyze audio signals with Python toolkits, become familiar with professional-grade audio recording equipment, and be able to apply basic music theory to the analysis of music audio.
Methodologies and/or Technologies used to achieve project goals:
- coding and coding software
Majors and Interests Needed
The project may be particularly complementary for students with the following majors/minors or proficiencies in:
- At least one course in computer programming.
- (helpful, but not necessary): music theory, facility with a musical instrument, digital signal processing
- Computer Science
- Electrical & Computer Engineering
- Gaming and Interactive Mobile Media (GIMM)
- Mathematics
- Music
- Physics
VIP Coach Information
Dr. Jennifer Anne Smith, PhD, Associate Professor in Electrical & Computer Engineering. Dr Smith has worked in industry for the Pennsylvania Power and Light Company and the Kearfott Division of Singer and for a government laboratory, the Naval Undersea Warfare Center.
Course Information
Full semester course.
Choose to enroll in 1 or 2 credits in VIP 200-025, VIP 400-025, or VIP 500 -025.
Team meetings TBD by participants.
Want to join the team?
For more information about this project and to request a permission number to register contact Dr. Jennifer Smith at (208) 426-5743 OR jasmith@boisestate.edu OR complete this interest form and someone will contact you. Check out this page for tips on contacting a professor.
To register: search by Subject: Vertically Integrated Projects, select section 025 of VIP 200, 400, or 500. Use permission number, here are instructions Add with a permission number