Systems and methods for audio signal generation

A method implemented on a computing apparatus, the computing apparatus including at least one processor and at least one storage device, comprising:

• obtaining a bone conduction audio signal acquired by a bone conduction sensor;
• obtaining an air conduction audio signal acquired by an air conduction sensor, the bone conduction audio signal and the air conduction audio signal representing a speech of a user;
• obtaining a trained machine learning model that provides a mapping relationship between a set of bone conduction data derived from a specific bone conduction audio signal and-one or more sets of equivalent air conduction data derived from a specific equivalent air conduction audio signal;
• determining, based on the bone conduction audio signal and the air conduction audio signal, a target set of equivalent air conduction data corresponding to the bone conduction audio signal using the trained machine learning model, the target set of equivalent air conduction data indicating a semantic content of the speech of the user, including:
• determining, based on the bone conduction audio signal, a plurality of sets of equivalent air conduction data corresponding to the bone conduction audio signal using the trained machine learning model;
• and
• identifying, based on the air conduction audio signal, the target set of equivalent air conduction data from the plurality of sets of equivalent air conduction data;
• and
• causing, based on the target set of equivalent air conduction data, an audio signal output device to output a target audio signal representing the speech of the user.

A non-transitory computer readable medium, comprising a set of instructions, wherein when executed by at least one processor, the set of instructions direct the at least one processor to perform acts of:

• obtaining a bone conduction audio signal acquired by a bone conduction sensor;
• obtaining an air conduction audio signal acquired by an air conduction sensor, the bone conduction audio signal and the air conduction audio signal representing a speech of a user;
• obtaining a trained machine learning model that provides a mapping relationship between a set of bone conduction data derived from a specific bone conduction audio signal and one or more sets of equivalent air conduction data derived from a specific equivalent air conduction audio signal;
• determining, based on the bone conduction audio signal and the air conduction audio signal, a target set of equivalent air conduction data corresponding to the bone conduction audio signal using the trained machine learning model, the target set of equivalent air conduction data indicating a semantic content of the speech of the user, including:
• determining, based on the bone conduction audio signal, a plurality of sets of equivalent air conduction data corresponding to the bone conduction audio signal using the trained machine learning model;
• and
• identifying, based on the air conduction audio signal, the target set of equivalent air conduction data from the plurality of sets of equivalent air conduction data;
• and
• causing, based on the target set of equivalent air conduction data, an audio signal output device to output a target audio signal representing the speech of the user.