Title:
コンピュータによる言語認識の際に少なくとも2つの単語から成るシーケンスの発生する確率を求める方法
Document Type and Number:
Japanese Patent JP4243017
Kind Code:
B2
Abstract:
Statistical speech models are used to improve the recognition rate of automatic speech recognition systems. The inventive method makes it possible to construct speech models with small volumes of text or without a text. Linguistic classes are formed and the speech model, i.e. an a-priori probability of word sequences, is determined based on the grammatical structure of the text and depending on the vocabulary of the text. Set probabilities for words and for linguistic classes are determined for this purpose. In addition to creating a new speech model for a predetermined area of application, the inventive method also provides a means of adapting a pre-existing speech model to a new area of application.
Inventors:
Petra Witchell
Harald Hege
Harald Hege
Application Number:
JP2000512197A
Publication Date:
March 25, 2009
Filing Date:
September 07, 1998
Export Citation:
Assignee:
Siemens Aktiengesellschaft
International Classes:
G10L15/18; G10L15/197; G10L15/28; G10L15/183
Domestic Patent References:
| JP10319989A | ||||
| JP9282321A | ||||
| JP9134192A | ||||
| JP9509509A | ||||
| JP8123476A |
Attorney, Agent or Firm:
Toshio Yano
Toshiomi Yamazaki
Takuya Kuno
Einzel Felix-Reinhard
Reinhard Einsel
Toshiomi Yamazaki
Takuya Kuno
Einzel Felix-Reinhard
Reinhard Einsel