System and method of using acoustic models for automatic speech recognition which distinguish pre- and post-vocalic consonants
US8015008B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2007 |
| Grant date | Sep 6, 2011 |
| Priority date | — |
| Expiry date | Jun 17, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems, methods and computer readable media for training acoustic models for an automatic speech recognition systems (ASR) system. The method includes receiving a speech signal, defining at least one syllable boundary position in the received speech signal, based on the at least one syllable boundary position, generating for each consonant in a consonant phoneme inventory a pre-vocalic position label and a post-vocalic position label to expand the consonant phoneme inventory, reformulating a lexicon to reflect an expanded consonant phoneme inventory, and training a language model for an automated speech recognition (ASR) system based on the reformulated lexicon.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.