Automatic Speaker Adaptation.
Abstract
A speaker-independent speech recognition system was constructed which implements a solution to one of the most difficult and most important problems in speech, that of speaker-to-speaker variability. The system, which recognizes words in naturally spoken, uncontrolled text, is based on a theory of speech perception which is consistent with the linguistic universals of world languages. The representation is invariant under certain adaptive transformations which render the speech speaker-independent. The problem of speaker-to-speaker variability was solved by reducing the multi-speaker problem to a single-speaker proposition. A single speaker may train the system to recognize a given vocabulary. A subsequent speaker need speak only a predetermined sentence or word sequence to transform the system for operation on his voice. Performance has been evaluated using constraint-free speech, spoken in natural word sequences.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1976
- Accession Number
- ADA032592
Entities
People
- H. Kellett
- H. Yilmaz
- J. Shao
- L. Ferber
- W. Park