Activities as an ONT Postdoctoral Fellow.
Abstract
The comprehension of narrowband digital speech with bit errors was tested using a sentence verification task. The difficulty of the verification task was varied by using predicates that were either strongly or weakly related to the subjects (e.g., A toad has warts./A toad has eyes.). The test conditions included unprocessed speech and speech processed using a 2400 bit/s linear predictive coding (LPC) voice processing algorithm with random bit error rates of 0%, 2% and 5%. In general, response accuracy decreased and reaction time increased with LPC processing and with increasing bit error rates. Weakly related true sentences and strongly related false sentences were more difficult than their counterparts. Interactions between sentence type and speech processing conditions are discussed. Keywords: Computer applications, Speech analysis, Speech scrambling, Speech recognition.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1987
- Accession Number
- ADA185540
Entities
People
- Howard J. Kallman
Organizations
- United States Naval Research Laboratory