公开(公告)号：BR0309685A

公开(公告)日：2007-05-29

申请号：BR0309685

申请日：2003-04-29

Applicant: QUALCOMM INC

Inventor： GARUDADRI HARINATH ,  SIVADAS SUNIL ,  HERMANSKY HYNEK ,  MORGAN NELSON H ,  WOOTERS CHARLES C ,  ADAMI ANDRE GUASTAVO ,  ORTUZAR MARIA CARMEN BENITEZ ,  BURGET LUKAS ,  DUPONT STEPHANE N ,  GREZL FRANTISEK ,  JAIN PRATIBHA ,  KAJAREKAR SACHIN ,  MOTLICEK PETR

IPC: G10L15/02 ,  G10L15/28

Abstract: A distributed voice recognition system and method for obtaining acoustic features and speech activity at multiple frequencies by extracting high frequency components thereof on a device, such as a subscriber station and transmitting them to a network server having multiple stream processing capability, including cepstral feature processing, MLP nonlinear transformation processing, and multiband temporal pattern architecture processing. The features received at the network server are processed using all three streams, wherein each of the three streams provide benefits not available in the other two, thereby enhancing feature interpretation. Feature extraction and feature interpretation may operate at multiple frequencies, including but not limited to 8 kHz, 11 kHz, and 16 kHz.

公开(公告)号：AU2003225235A1

公开(公告)日：2003-11-17

申请号：AU2003225235

申请日：2003-04-29

Applicant: QUALCOMM INC

Inventor： GARUDADRI HARINATH ,  SIVADAS SUNIL ,  HERMANSKY HYNEK ,  MORGAN NELSON H ,  WOOTERS CHARLES C ,  ADAMI ANDRE GUSTAVO ,  ORTUZAR MARIA CARMEN BENITEZ ,  BURGET LUKAS ,  DUPONT STEPHANE N ,  GREZL FRANTISEK ,  JAIN PRATIBHA ,  KAJAREKAR SACHIN ,  MOTLICEK PETR

IPC: G10L15/02 ,  G10L15/28

Abstract: A distributed voice recognition system and method for obtaining acoustic features and speech activity at multiple frequencies by extracting high frequency components thereof on a device, such as a subscriber station and transmitting them to a network server having multiple stream processing capability, including cepstral feature processing, MLP nonlinear transformation processing, and multiband temporal pattern architecture processing. The features received at the network server are processed using all three streams, wherein each of the three streams provide benefits not available in the other two, thereby enhancing feature interpretation. Feature extraction and feature interpretation may operate at multiple frequencies, including but not limited to 8 kHz, 11 kHz, and 16 kHz.

公开(公告)号：AU2002247043A1

公开(公告)日：2002-08-12

申请号：AU2002247043

申请日：2002-01-29

Applicant: QUALCOMM INC

Inventor： ORTUZAR MARIA CARMEN BENITEZ ,  GARUDADRI HARINATH ,  BURGET LUKAS ,  MORGAN NELSON H ,  SIVADAS SUNIL ,  KAJAREKAR SACHIN ,  DUPONT STEPHANE N ,  HERMANSKY HYNEK ,  JAIN PRATIBHA

IPC: G10L15/02 ,  G10L15/28 ,  G10L11/06

Abstract: A system and method for extracting acoustic features and speech activity on a device and transmitting them in a distributed voice recognition system. The distributed voice recognition system includes a local VR engine in a subscriber unit and a server VR engine on a server. The local VR engine comprises a feature extraction (FE) module that extracts features from a speech signal, and a voice activity detection module (VAD) that detects voice activity within a speech signal. The system includes filters, framing and windowing modules, power spectrum analyzers, a neural network, a nonlinear element, and other components to selectively provide an advanced front end vector including predetermined portions of the voice activity detection indication and extracted features from the subscriber unit to the server. The system also includes a module to generate additional feature vectors on the server from the received features using a feed-forward multilayer perceptron (MLP) and providing the same to the speech server.

公开(公告)号：WO02061727A3

公开(公告)日：2003-02-27

申请号：PCT/US0202625

申请日：2002-01-29

Applicant: QUALCOMM INC

Inventor： GARUDADRI HARINATH ,  HERMANSKY HYNEK ,  BURGET LUKAS ,  JAIN PRATIBHA ,  KAJAREKAR SACHIN ,  SIVADAS SUNIL ,  DUPONT STEPHANE N ,  ORTUZAR MARIA CARMEN BENITEZ ,  MORGAN NELSON H

IPC: G10L15/02 ,  G10L15/28 ,  G10L11/06

CPC classification number: G10L15/30 ,  G10L15/02

Abstract: A system and method for extracting acoustic features and speech activity on a device and transmitting them in a distributed voice recognition system. The distributed voice recognition system includes a local VR engine in a subscriber unit (102) and a server VR engine in a server (160). The local VR engine comprises a feature extraction (FE) module (104) that extracts features from a speech signal, and a voice activity detection module (VAD) (106) that detects voice activity within a speech signal. The voice activity signal and the features are downsampled before they are transmitted from the local engine to the server engine. The system includes filters, framing and windowing modules, power spectrum analyzers, a neural network, a nonlinear element, and other components to selectively provide an advanced front end vector including predetermined portions of the voice activity detection indication and extracted features from the subscriber unit (104) to the server (160). The indication of detected voice activity is transmitted ahead of the extracted features in order to avoid long recognition delays. The system also includes a module to generate additional feature vectors on the server from the received features using a feed-forward multilayer perception (MLP) and providing the same to the speech server (160).

Abstract translation: 一种用于在设备上提取声学特征和语音活动并在分布式语音识别系统中传送它们的系统和方法。 分布式语音识别系统包括用户单元（102）中的本地VR引擎和服务器（160）中的服务器VR引擎。 本地VR引擎包括从语音信号中提取特征的特征提取（FE）模块（104）和检测语音信号内的语音活动的语音活动检测模块（VAD）（106）。 语音活动信号和特征在从本地引擎传输到服务器引擎之前被下采样。 该系统包括滤波器，成帧和开窗模块，功率谱分析仪，神经网络，非线性元件和其他组件，以选择性地提供包括来自用户单元的语音活动检测指示和提取特征的预定部分的高级前端矢量 104）发送到服务器（160）。 检测到的语音活动的指示在提取的特征之前传输，以避免长的识别延迟。 该系统还包括一个模块，用于使用前馈多层感知（MLP）从所接收的特征在服务器上产生附加的特征向量，并将其提供给语音服务器（160）。