Speaker Recognition Using Phoneme Specific Sentences.
Abstract
Listener tests involving the ability to distinguish between previously unfamiliar voices were conducted with phoneme specific sentences (each sentence contains only certain classes of consonant phonemes) using a familiarization-test procedure. There were three test conditions comparing unprocessed speech Linear Predictive Coding (LPC) processed speech, and speech at 800 bits/sec. The results suggest that for unprocessed speech, speakers are better recognized when speaking sentences that contain voice fricatives or voiced or unvoiced stops and are not as well recognized if the sentences contains only glides or only nasals. On the other hand, sentences with voice fricatives and nasals were best for LPC speech. The results were also highly dependent on the grouping of the speakers. The recognition of more distinctive male voices and of female voices went down with LPC and 800 bit/sec processing as expected, but the recognition of less distinctive males was no worse after processing than before. The fact that the effects of voice processing vary with the composition of the speaker set is discouraging to the development of a standardized test of speaker recognition. Speaker recognition with the 800 bit/s algorithm was very poor but performance was still better than pure guessing. Keywords: Voice communications. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 24, 1986
- Accession Number
- ADA169707
Entities
People
- Astrid Schmidt-nielsen
Organizations
- United States Naval Research Laboratory