Attribute-based word modeling
US6963837B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 6, 2000 |
| Grant date | Nov 8, 2005 |
| Priority date | — |
| Expiry date | May 1, 2023 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An attribute-based speech recognition system is described. A speech pre-processor receives input speech and produces a sequence of acoustic observations representative of the input speech. A database of context-dependent acoustic models characterize a probability of a given sequence of sounds producing the sequence of acoustic observations. Each acoustic model includes phonetic attributes and suprasegmental non-phonetic attributes. A finite state language model characterizes a probability of a given sequence of words being spoken. A one-pass decoder compares the sequence of acoustic observations to the acoustic models and the language model, and outputs at least one word sequence representative of the input speech.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.