Voice Transformation and Detection

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-07-C-0151
Agency Tracking Number: F071-087-2048
Amount: $99,895.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: AF071-087
Solicitation Number: 2007.1
Small Business Information
3 Whitehouse Way, Ringoes, NJ, 08551
DUNS: 616284969
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Minkyu Lee
 Chief Technical Officer
 (908) 240-8196
Business Contact
 Sooha Lee
Title: President
Phone: (908) 240-7530
Email: soohapark@acm.org
Research Institution
Voice transformation is altering one person’s voice such that it sounds like from another speaker. This can be done by mapping the voice quality and speaking style of the source speaker to that of the target speaker. In this proposal for Phase I, we will investigate state-of-the-art technologies based on the source filter model. For vocal tract modeling and mapping, we will test the linear prediction model and the harmonic noise model. For excitation modeling and mapping, we will consider using the LF model and sinusoidal models. For speaking style mapping, various intonation and speaking rate mapping methods will be examined for the feasibility. This includes various statistical models such as the CART, multiplicative or sum-of-products models. The transformation results will be evaluated using human listeners as well as automatic speaker identification algorithms. We will also investigate methods on how to detect when voice transformation software is employed. The final report of Phase I will include the recommended mapping algorithms and preliminary speech samples transformed using the algorithms. It will also contain requirements and specifications for the voice transformation system that will be implemented during Phase II. Finally, potential risk factors that may affect the performance will be described.

* Information listed above is at the time of submission. *

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