Abstract

Disclosed is a method of adapting a neural network of an automatic speech recognition device, the method comprising the steps of: providing a neural network comprising an input stage, an intermediate stage and an output stage, said output stage outputting phoneme probabilities; providing a linear stage in said neural network; and training said linear stage by means of an adaptation set; wherein the step of providing said linear stage comprises the step of providing said linear stage after said intermediate stage.

IPC Classes  ?

• G10L 15/16 - Speech classification or search using artificial neural networks
• G10L 15/187 - Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
• G10L 15/06 - Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice