Selective noise/channel/coding models and recognizers for automatic speech recognition
First Claim
Patent Images
1. A method for the robust recognition of speech in a noisy environment, comprising the steps of:
- receiving the speech;
recording an amount of data related to the noisy environment;
analyzing the recorded data;
selecting at least one appropriate background noise model on the basis of the recorded data; and
performing speech recognition with the at least one selected background noise model.
4 Assignments
0 Petitions
Accused Products
Abstract
An apparatus and method for the robust recognition of speech during a call in a noisy environment is presented. Specific background noise models are created to model various background noises which may interfere in the error free recognition of speech. These background noise models are then used to determine which noise characteristics a particular call has. Once a determination has been made of the background noise in any given call, speech recognition is carried out using the appropriate background noise model.
-
Citations
13 Claims
-
1. A method for the robust recognition of speech in a noisy environment, comprising the steps of:
-
receiving the speech; recording an amount of data related to the noisy environment; analyzing the recorded data; selecting at least one appropriate background noise model on the basis of the recorded data; and performing speech recognition with the at least one selected background noise model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. A method for improving recognition of speech subjected to noise, the method comprising the steps of:
-
sampling a connection noise; searching a database for a noise model most closely matching the sampled connection noise; and applying the most closely matching noise model to a speech recognition process. - View Dependent Claims (10, 11, 12, 13)
-
Specification