Methods for real-time accent conversion and systems thereof

A method implemented by one or more computing devices and comprising:

• applying a first machine-learning algorithm to second speech content comprising a first set of phonemes associated with a first pronunciation of the second speech content, wherein the first machine-learning algorithm is trained based on an alignment and classification of frames of first speech content corresponding to respective speakers having a first accent;
• synthesizing, based on an output of the first machine-learning algorithm and using a second machine-learning-algorithm trained with first audio data comprising the first accent and second audio data comprising a second accent, third audio data representative of the second speech content having the second accent;
• converting the third audio data into a synthesized version of the second speech content having the second accent;
• and
• outputting the synthesized version of the second speech content via a digital communication application executed by the one or more computing devices.

A non-transitory computer-readable medium comprising instructions that, when executed by at least one processor, cause the at least one processor to:

• apply a first machine-learning algorithm to first speech content comprising first phonemes associated with a first pronunciation of the first speech content to derive a non-text linguistic representation of the first phonemes;
• synthesize, based on the non-text linguistic representation of the first phonemes and using a second machine-learning algorithm trained with first audio data comprising a first accent and second audio data comprising a second accent, third audio data representative of the first speech content having the second accent, wherein the synthesizing comprises mapping at least a first non-text linguistic representation of a first phoneme of the first phonemes to a second non-text linguistic representation of a second phoneme of an updated set of phonemes associated with a second pronunciation of the first speech content;
• convert the third audio data into a synthesized version of the first speech content having the second accent and comprising the updated set of phonemes;
• and
• output the synthesized version of the first speech content via a digital communication application via which the first speech content was received.