Abstract: An example electronic apparatus includes a memory configured to store at least one instruction and at least one processor connected to the memory to control the electronic apparatus. The at least one processor is configured to, by executing the at least one instruction, obtain a first audio signal including a voice signal and a noise signal, convert the first audio signal in a time domain to a second audio signal in a frequency domain, obtain a first gain value representing a Signal-to-Noise Ratio (SNR) from the second audio signal, obtain a second gain value with a first dynamic range by filtering the first gain value, obtain a third gain value by inputting the second gain value to a neural network model trained to output a signal from which noise is removed, and convert the second audio signal to a third audio signal from which at least a portion of the noise signal is removed, using the third gain value.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a memory and a processor, wherein the processor is configured to, by executing the at least one instruction, acquire a plurality of training data; acquire a plurality of embedding vectors that are mappable to an embedding space for the plurality of training data, respectively; train an artificial intelligence model classifying the plurality of training data based on the plurality of embedding vectors, identify an embedding vector misclassified by the artificial intelligence model among the plurality of embedding vectors, identify an embedding vector closest to the misclassified embedding vector in the embedding space, acquire a synthetic embedding vector corresponding to a path connecting the misclassified embedding vector to the embedding vector closest to the misclassified embedding vector in the embedding space, and re-train the artificial intelligence model by adding the synthetic embedding vector to the training data.

Abstract: An electronic device for improving a quality of an audio includes: a microphone configured to obtain an audio input including a voice; at least one memory; and at least one processor. The at least one processor is configured to execute one or more instructions stored in the memory to: obtain a first voice fingerprint corresponding to the obtained audio input; obtain a second voice fingerprint corresponding to the voice; estimate, based on the first voice fingerprint and the second voice fingerprint, noise caused by an acoustic environment of the obtained audio input; and remove the estimated noise from the obtained audio input.