Voices.com

Opportunity to identify key attributes of voice that are preferred by different brands (ex. Disney, product vs. service) and develop a model to recommend a brand voice for logos on our platform. Work with stakeholders to capture and analyze industry, product vs.service, and company data then leverage past transactional data to identify fit with various voice attributes or profiles. Voice-over talent metrics: Use ad-hoc analysis of various voice data such as mp4 audition recordings and voice attribute data and match them to new clients on the platform. This is a relatively new venture to improve our product offering. Throughout the summer, opportunities will be available to provide recommendations to the analytics team and leadership based on the analysis done for the BrandMatch venture.

Faculty Supervisor:

Gregory Zaric

Student:

Partner:

Voices

Discipline:

Business

Sector:

Artificial Intelligence; Entertainment and Media; Technology

University:

The University of Western Ontario

Program: