Audio signal processing system and method for providing noise cancellation using user-defined markers

An audio processing method for providing noise cancellation, comprising the steps of:

• providing a system comprising an input module comprising a microphone or audio capture device, a memory module comprising a memory device such as a flash storage or RAM, in communication with the input module, a user interface comprising a touch screen or physical controls, in communication with the memory module, a processing module comprising a CPU or DSP, in communication with the memory module, a noise cancellation module comprising at least one noise cancellation algorithm, in communication with the processing module, and an output module comprising a speaker or audio output device, in communication with the processing module;
• receiving, via the input module, an audio signal corresponding to an audio;
• enabling, via the user interface, a user to select at least one segment of the audio signal, displaying the audio signal to the user via a display of the user interface;
• enabling, via at least one button of the user interface, the user to create a first marker on the audio signal to mark a beginning portion of the segment and create a second marker on the audio signal to mark an ending portion of the segment of the audio signal, and enabling the user to adjust a location of the first and second markers;
• storing, at the memory module, the audio signal and the selected segment of the audio signal, and
• processing, at the processing module, the audio signal to remove noise present in the selected audio segment, while leaving segments of the audio signal outside the selected segments unaffected, thereby providing a selective noise-cancellation of audio signal and producing an improved output audio signal;
• training a machine learning module comprising a neural network or a deep learning system, in communication with the processing module and memory module to identify noise in the audio signal based on the segment of the audio signal selected by the user;
• automatically identifying, via the machine learning module, one or more segments of the audio signal corrupted with the noise and remove noise from the segments of the audio signal;
• receiving, at a remote processing module, an input to process the audio signal in a form of data package, wherein the data package comprises the audio signal, processing directives to process the audio signal, and metadata of the first and second markers, wherein the remote processing module is in communication with the memory module via a network, and
• receiving, at the processing module and the remote processing module, a processing code including information related to a location of the markers and a type of processing required at different locations of the audio signal.