Identification as a Function of Familiarity for Known Voices Talking Over an Unprocessed Channel and an LPC (Linear Predictive Coding) Voice Processor.
Abstract
A commonly cited drawback of narrowband systems such as the DoD standard linear predictive coding (LPC) algorithm is that speaker recognition is poor. Yet it is the opinion of many users that they frequently recognize the speaker. Tape recordings of 24 speakers conversing over an unprocessed channel and over an LPC voice processing system were subjected to listening tests. Twenty four co workers listened to the tapes and attempted to identify each speaker from a list of about 40 people in the same branch. Prior to the recognition tests, each of the listeners also rated his or her familiarity with each of the speakers and the distinctiveness of each speaker's voice. There was some loss in voice recognition over LPC, but the recognition rate was still quite high. Unprocessed voices were correctly identified 88% of the time, whereas the same people talking over the LPC system were correctly identified 69% of the time. Talker familiarity was significantly correlated with correct identifications. There was no significant correlation between the rated distinctiveness of the speaker and correct identifications. However, familiarity and distinctiveness ratings were highly correlated.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 16, 1984
- Accession Number
- ADA145545
Entities
People
- A. Schmidt-nielsen
- K. R. Stern
Organizations
- United States Naval Research Laboratory