Voice recognition device

• US 20020010581A1
• Filed: 06/13/2001
• Published: 01/24/2002
• Est. Priority Date: 06/19/2000
• Status: Abandoned Application

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Euler, Stephan, Korthauer, Andreas
• Application Number:
  US09/880,315
• Publication Number:
  US 20020010581A1
• Time in Patent Office: Days
• US Class Current: 704/236
• CPC Class Codes: G10L 15/02 Feature extraction for speech recognition; Selection of recognition unit
• CPC Class Codes: G10L 15/08 Speech classification or search
• CPC Class Codes: G10L 2021/02165 Two microphones, one receiving mainly the noise signal and the other one mainly the speech signal

Abstract

A voice recognition device, where at least two input signals are routed in parallel via respective, separate channels to a recognition device having a feature extraction device for forming feature vectors, a transformation device for forming transformed feature vectors, and having a subsequent classification unit that classifies the supplied, transformed feature vectors and emits output signals corresponding to the determined classes. A high rate of recognition at a relatively low expenditure for the design and processing are achieved in that the feature extraction device has feature extraction stages separately arranged in the individual channels, the feature extraction stages being connected at their outputs to the shared transformation device.

Claims

1. A voice recognition device comprising:

a feature extraction device for receiving a plurality of input signals routed in parallel via a plurality of respective, separate channels, the feature extraction device including a plurality of feature extraction stages, each of the plurality of feature extraction stages being separately situated in a respective one of the plurality of separate channels and each having a respective output for providing a respective feature vector;

a shared transformation device coupled to the outputs of the feature extraction stages, the transformation device forming transformed feature vectors; and

a classification unit for classifying the transformed feature vectors provided by the transformation device and providing at least one output signal corresponding to at least one determined class.

2. The voice recognition device according to claim 1, wherein the transformation device is a linear transformation device.

3. The voice recognition device according to claim 1, wherein the transformation device performs one of a linear discriminant analysis and a Karhunen-Loè

ve transform.

4. The voice recognition device according to claim 1, wherein the transformation device depends upon sample data.

5. The voice recognition device according to claim 1, wherein the classification unit is trained under conditions corresponding to a designated application situation.

6. The voice recognition device according to claim 1, further comprising interference noise reduction stages allocated to each of the feature extraction stages, the interference noise reduction stages being connected in series.