AI Approach to Noise
Removal
Artificial neural networks are an old idea that has recently exploded in the form of deep learning. While there are different deep learning approaches to noise removal, they all work by learning from a training dataset. Background noise removal is the ability to enhance a noisy speech signal by isolating the dominant sound. Background noise removal is used everywhere — it’s found in audio/video editing software, video conferencing platforms, and noise-canceling headphones. So, background noise removal is still a fast-evolving technology, with Artificial Intelligence bringing a whole new domain of approaches to improve the task. We use the latest advancement in audio processing and artificial intelligence to automatically remove background noise and enhance your audio recordings.
Hear the Difference
Restaurant Chatter
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After
Dog Barking
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After
Helicopter
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After
Background Music
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After
Street Noise (Freestyle Rap)
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After
Water (Language Agnostic)
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After
