Patent ID: 11935523
Assignee: MASTER ENGLISH OY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method, comprising:
receiving, in an acoustic branch of a system for automatic detection of pronunciation errors, an audio waveform of a recording comprising a known pronounced word comprising a target phoneme;
transforming the audio waveform to a sequence of frames;
extracting one or more acoustic features from the sequence of frames;
inputting the one or more acoustic features to a recurrent block of the acoustic branch;
receiving, in a phonetic branch of the system for automatic detection of pronunciation errors, a sequence of phonetic symbols representing ideal pronunciation of the pronounced word;
mapping the sequence of phonetic symbols using a neural network trained for the target phoneme to obtain an embedded phonetic sequence;
inputting the embedded phonetic sequence to a recurrent block of the phonetic branch; and
classifying, by a neural network trained for the target phoneme, a pronunciation in the recording as correct or as comprising one or more pronunciation errors in the target phoneme based on a representation of the one or more acoustic features as obtained from the recurrent block of the acoustic branch and a representation of the sequence of phonetic symbols as obtained from the recurrent block of the phonetic branch, wherein the classifying comprises: concatenating the representation of the one or more acoustic features as obtained from the recurrent block of the acoustic branch and the representation of the sequence of phonetic symbols as obtained from the recurrent block of the phonetic branch to learn the neural network for detecting one or more pronunciation errors in the target phoneme from the one or more acoustic features.