公开(公告)号：DE69911723D1

公开(公告)日：2003-11-06

申请号：DE69911723

申请日：1999-11-23

Applicant: LUCENT TECHNOLOGIES INC

Inventor： CHOU WU ,  RECCHIONE MICHAEL CHARLES ,  ZHOU QIRU

IPC: G10L15/00 ,  G10L15/02 ,  G10L15/20 ,  G10L15/28 ,  G10L15/26

Abstract: Automatic Speech Recognition (ASR) is achieved in wireless communications systems in which reliable ASR feature vector sequences are derived at a base station directly from digitally transmitted speech coder parameters, with no additional processing or signal modification required at the originating handset. No secondary channel need be provided for the transmission of ASR feature vectors. In operating on received speech coder parameters prior to conversion to a voice signal the present system and methods avoid the lossy conversion process and associated voice distortion. Since the received voice parameters are error protected during transmission they are received with greater accuracy.

公开(公告)号：CA2239339C

公开(公告)日：2002-04-16

申请号：CA2239339

申请日：1998-05-29

Applicant: LUCENT TECHNOLOGIES INC

Inventor： LI QI P ,  ZHOU QIRU ,  LEE CHIN-HUI ,  JUANG BIING-HWANG

IPC: G10L15/10 ,  G10L15/14 ,  G10L17/00 ,  G10L9/00 ,  G10L5/06 ,  G10L9/06

Abstract: A method and apparatus for authenticating a proffered identity of a speaker in which the verbal information content of a speaker's utterance, rather than t he vocal characteristics of the speaker, are used to identify or verify the identity of a speaker. Specifically, features of a speech utterance spoken by a speaker are compare d with at least one sequence of speaker-independent speech models, where one of these sequences of speech models corresponds to speech reflecting information asso ciated with an individual having said proffered identity. Then, a confidence level that the speech utterance in fact reflects the information associated with the indivi dual having said proffered identity is determined based on said comparison. In accordanc e with one illustrative embodiment, the proffered identity is an identity claimed b y the speaker, and the claimed identity is verified based upon the determined conf idence level. In accordance with another illustrative embodiment, each of a plurali ty of proffered identities is checked in turn to identify the speaker as being a p articular one of a corresponding plurality of individuals. The features of the speech utte rance may comprise cepstral (i.e., frequency) domain data, and the speaker-independent speech models may comprise Hidden Markov Models of individual phonemes. Since speaker-independent models are employed, the need for each system user to pe rform an individual training session is eliminated.

公开(公告)号：DE69800320D1

公开(公告)日：2000-10-26

申请号：DE69800320

申请日：1998-07-07

Applicant: LUCENT TECHNOLOGIES INC

Inventor： JUANG BIING-HWANG ,  LI QI P ,  LEE CHIN-HUI ,  ZHOU QIRU

IPC: G10L15/10 ,  G10L15/14 ,  G10L17/00

公开(公告)号：AU5958599A

公开(公告)日：2000-06-01

申请号：AU5958599

申请日：1999-11-22

Applicant: LUCENT TECHNOLOGIES INC

Inventor： CHOU WU ,  RECCHIONE MICHAEL CHARLES ,  ZHOU QIRU

IPC: G10L15/00 ,  G10L15/02 ,  G10L15/20 ,  G10L15/28 ,  G10L9/14 ,  H04L12/16

Abstract: Automatic Speech Recognition (ASR) is achieved in wireless communications systems in which reliable ASR feature vector sequences are derived at a base station directly from digitally transmitted speech coder parameters, with no additional processing or signal modification required at the originating handset. No secondary channel need be provided for the transmission of ASR feature vectors. In operating on received speech coder parameters prior to conversion to a voice signal the present system and methods avoid the lossy conversion process and associated voice distortion. Since the received voice parameters are error protected during transmission they are received with greater accuracy.

公开(公告)号：CA2287025A1

公开(公告)日：2000-05-30

申请号：CA2287025

申请日：1999-10-20

Applicant: LUCENT TECHNOLOGIES INC

Inventor： ZHOU QIRU ,  RECCHIONE MICHAEL CHARLES ,  CHOU WU

IPC: G10L15/00 ,  G10L15/02 ,  G10L15/20 ,  G10L15/28 ,  G10L9/04

Abstract: Automatic Speech Recognition (ASR) is achieved in wireless communications systems in which reliable ASR feature vector sequences are derived at a base station directly from digitally transmitted speech coder parameters, with no additional processing or signal modification required at the originating handset. No secondary channel need be provided for the transmission of ASR feature vectors. In operating on received speech coder parameters prior to conversion to a voice signal the present system and methods avoid the lossy conversion process and associated voice distortion. Since the received voice parameters are error protected during transmission they are received with greater accuracy.