Voice quality enhancement method and related device

A terminal device, comprising:

• a processor, and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations, the operations comprising:
• after the terminal device enters a personalized noise reduction (PNR) mode, obtaining a first noisy voice signal and target voice-related data, wherein the first noisy voice signal comprises an interfering noise signal and a voice signal of a target user, the interfering noise signal includes at least one of a voice signal of a non-target user or an ambient noise signal, and the target voice-related data indicates a voice feature of the target user;
• performing noise reduction on the first noisy voice signal based on the target voice-related data by using a voice noise reduction model to obtain a noise-reduced voice signal of the target user, wherein the voice noise reduction model is implemented based on a neural network;
• obtaining a voice quality enhancement coefficient for the target user;
• and
• performing enhancement on the noise-reduced voice signal of the target user based on the voice quality enhancement coefficient for the target user to obtain an enhanced voice signal of the target user, wherein a ratio of an amplitude of the enhanced voice signal of the target user to an amplitude of the noise-reduced voice signal of the target user is the voice quality enhancement coefficient.

A chip system applied to an electronic device, comprising:

• a processor
• an interface circuit configured to receive and send data, wherein the interface circuit and the processor are interconnected through a line, and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the electronic device to perform operations, the operations comprising:
• after the electronic device enters a personalized noise reduction (PNR) mode, obtaining a first noisy voice signal and target voice-related data, wherein the first noisy voice signal comprises an interfering noise signal and a voice signal of a target user, the interfering noise signal includes at least one of a voice signal of a non-target user or an ambient noise signal, and the target voice-related data indicates a voice feature of the target user;
• performing noise reduction on the first noisy voice signal based on the target voice-related data by using a voice noise reduction model to obtain a noise-reduced voice signal of the target user, wherein the voice noise reduction model is implemented based on a neural network;
• obtaining a voice quality enhancement coefficient for the target user;
• and
• performing enhancement on the noise-reduced voice signal of the target user based on the voice quality enhancement coefficient for the target user to obtain an enhanced voice signal of the target user, wherein a ratio of an amplitude of the enhanced voice signal of the target user to an amplitude of the noise-reduced voice signal of the target user is the voice quality enhancement coefficient.

A non-transitory machine-readable storage medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations, the operations comprising:

• after entering a personalized noise reduction (PNR) mode, obtaining a first noisy voice signal and target voice-related data, wherein the first noisy voice signal comprises an interfering noise signal and a voice signal of a target user, the interfering noise signal includes at least one of a voice signal of a non-target user or an ambient noise signal, and the target voice-related data indicates a voice feature of the target user;
• performing noise reduction on the first noisy voice signal based on the target voice-related data by using a voice noise reduction model to obtain a noise-reduced voice signal of the target user, wherein the voice noise reduction model is implemented based on a neural network;
• obtaining a voice quality enhancement coefficient for the target user;
• and
• performing enhancement on the noise-reduced voice signal of the target user based on the voice quality enhancement coefficient for the target user to obtain an enhanced voice signal of the target user, wherein a ratio of an amplitude of the enhanced voice signal of the target user to an amplitude of the noise-reduced voice signal of the target user is the voice quality enhancement coefficient.