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For example, different microphones can capture different frequencies and nuances in the voice. A change in the recording environment, such as a different studio or room, can also affect the acoustics and the overall sound quality. And, of course, the audio mixing process, where the various sound elements are balanced and adjusted, can have a significant impact on the final result. So, while the voice actors' performances are crucial, we can't overlook the technical aspects that shape the sound we hear. These behind-the-scenes factors are often invisible to the audience, but they can be just as important as the acting itself.
**CNNs** are usually deep neural networks, meaning they have many layers. This depth allows them to learn very complex patterns and relationships in the data. The deeper the network, the more features it can extract. However, this also means that the network requires more data and computational resources to train.
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