Method and Apparatus for Speech Recognition Using Neural Networks with Speaker Adaptation

摘要

In a speech recognition system, deep neural networks (DNNs) are employed in phoneme recognition. While DNNs typically provide better phoneme recognition performance than other techniques, such as Gaussian mixture models (GMM), adapting a DNN to a particular speaker is a real challenge. According to at least one example embodiment, speech data and corresponding speaker data are both applied as input to a DNN. In response, the DNN generates a prediction of a phoneme based on the input speech data and the corresponding speaker data. The speaker data may be generated from the corresponding speech data.

主权项

1. A method for speech recognition, the comprising:
receiving, by a deep neural network, input speech data and corresponding speaker data; and generating, by the deep neural network, a prediction of a phoneme corresponding to the input speech data based on the corresponding speaker data.