Patent Document ID: 10127905
Application ID: 15231909
Patent Status: 1

Claim One:
1. An apparatus for generating an acoustic model for speech recognition, the apparatus comprising: a processor configured to: identify training noisy speech data, which includes training speech data to which training noise data has been added, and identify the training noise data; determine a noise representation of the identified training noise data by extracting features from the identified training noise data using a noise model and calculating the noise representation based on analyses of the extracted features; and generate the acoustic model, for the speech recognition, through training using the training noisy speech data, and based on a string of phonemes corresponding to the identified training speech data, and the determined noise representation as respective targets of the training, so the generated acoustic model is configured to concurrently perform classification of a string of phonemes corresponding to a speech for the speech recognition and to perform extraction of a noise representation included in the speech.