Now imagine a solution where all you need is a single microphone with all the post processing handled by software. Thus the algorithms supporting it cannot be very sophisticated due to the low power and compute requirement.
This sounds easy but many situations exist where this tech fails.
REAL TIME IMAGE COMPRESSION SOFTWARE SOFTWARE
Software effectively subtracts these from each other, yielding an (almost) clean Voice. The mic closer to the mouth captures more voice energy the second one captures less voice. The two mics are marked yellowīoth mics capture the surrounding sounds. Phone designers place the second mic as far as possible from the first mic, usually on the top back of the phone.įigure 2. The first mic is placed in the front bottom of the phone closest to the user’s mouth while speaking, directly capturing the user’s voice. This remains the case with some mobile phones however more modern phones come equipped with multiple microphones (mic) which help suppress environmental noise when talking.Ĭurrent-generation phones include two or more mics, as shown in figure 2, and the latest iPhones have 4. The mobile phone calling experience was quite bad 10 years ago. Once captured, the device filters the noise out and sends the result to the other end of the call. This seems like an intuitive approach since it’s the edge device that captures the user’s voice in the first place. Traditional noise suppression has been effectively implemented on the edge device - phones, laptops, conferencing systems, etc. Traditional Approach to Noise Suppression This post focuses on Noise Suppression, not Active Noise Cancellation. Active noise cancellation typically requires multi-microphone headphones (such as Bose QuiteComfort), as you can see in figure 2. This contrasts with Active Noise Cancellation (ANC), which refers to suppressing unwanted noise coming to your ears from the surrounding environment. Noise Suppression filters it out for both callers.