Systems, methods, and computer program product embodiments are disclosed for removing any fixed frequency interfering signal from an input signal without introducing artifacts that are not part of the original signal of interest. An embodiment operates by using a virtual buffer with a length that matches a length of one cycle of an interfering signal. The embodiment extracts the interfering signal into the virtual buffer. For a sample in the next cycle of the interfering signal that corresponds to a virtual memory location for the virtual buffer, the embodiment can update one or more physical memory locations of the virtual buffer that are in the vicinity of the virtual memory location. This use of virtual buffer can remove any interfering signal without creating the artifacts associated with conventional notch filters.

An information handling system audio system includes a library of noise reduction filters associated with cooling fan speeds to isolate out cooling fan noise. Changed cooling fan settings communicated to the audio system trigger application of a library noise reduction filter for the selected cooling fan setting to isolate out cooling fan noise while an adaptive filter defines a noise reduction filter from recorded sounds. The library noise reduction filter reduces cooling fan noises during the time used to determine the adaptive noise reduction filter. In one embodiment, changes in cooling fan settings prioritize definition of noise reduction filters by the adaptive filter.

In some embodiments, a method, apparatus and computer program for reducing noise from an audio signal captured by a drone (e.g., canceling the noise signature of a drone from the audio signal) using a model of noise emitted by the drone's propulsion system set, where the propulsion system set includes one or more propulsion systems, each of the propulsion systems including an electric motor, and wherein the noise reduction is performed in response to voltage data indicative of instantaneous voltage supplied to each electric motor of the propulsion system set. In some other embodiments, a method, apparatus and computer program for generating a noise model by determining the noise signature of at least one drone based upon a database of noise signals corresponding to at least one propulsion system and canceling the noise signature of the drone in an audio signal based upon the noise model.

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: activating a streaming media recording buffer that records streaming media of an online conference, the online conference having first second and third user online conference participant users; examining data to return an action decision, the examining data to return an action decision including examining data of the streaming media recording buffer to identify an anomalous sound represented in the recorded media stream data of the streaming media recording buffer; returning an action decision based on the examining data to return an action decision, the action decision being an action to mitigate the anomalous sound; and providing one or more output to mitigate the anomalous sound in accordance with the returned action decision.

Personal audio systems and methods are disclosed. A personal audio system includes a voice activity detector to determine whether or not an ambient audio stream contains voice activity, a pitch estimator to determine a frequency of a fundamental component of an annoyance noise contained in the ambient audio stream, and a filter bank to attenuate the fundamental component and at least one harmonic component of the annoyance noise to generate a personal audio stream. The filter bank implements a first filter function when the ambient audio stream does not contain voice activity, or a second filter function when the ambient audio stream contains voice activity.

Example techniques involve systems with multiple acoustic echo cancellers. An example implementation captures first audio within an acoustic environment and detecting, within the captured first audio content, a wake-word. In response to the wake-word and before playing an acknowledgement tone, the implementation activates (a) a first sound canceller when one or more speakers are playing back audio content or (b) a second sound canceller when the one or more speakers are idle. In response to the wake-word and after activating either (a) the first sound canceller or (b) the second sound canceller, the implementation outputs the acknowledgement tone via the one or more speakers. The implementation captures second audio within the acoustic environment and cancelling the acoustic echo of the acknowledgement tone from the captured second audio using the activated sound canceller.

Personal audio systems and methods are disclosed. A personal audio system includes a voice activity detector to determine whether or not an ambient audio stream contains voice activity, a pitch estimator to determine a frequency of a fundamental component of an annoyance noise contained in the ambient audio stream, and a filter bank to attenuate the fundamental component and at least one harmonic component of the annoyance noise to generate a personal audio stream. The filter bank implements a first filter function when the ambient audio stream does not contain voice activity, or a second filter function when the ambient audio stream contains voice activity.

[Problem] To provide a communication apparatus that makes a subject's voice more audible.

[Means for Solution]

A communication apparatus 60 has: a microphone 61 for receiving, during rotation of a rotating section 26, sound containing a voice of a subject 5 to be examined and noise caused by the rotation of the rotating section 26; a DSP 623 for executing filter processing for reducing said noise contained in the sound received by the microphone 61, wherein the DSP 623 determines a frequency of the noise caused by the rotation of the rotating section 26 based on a rotational speed vi of the rotating section 26, and sets a filter characteristic F(ti) for the DSP so that a frequency component of the noise contained in the sound is removed; and a speaker 63 for outputting the sound which contains the voice of the subject 5 and from which the frequency component of said noise has been removed.

Audio systems and methods are provided that receive a sound management input signal as a reference signal to remove related content from a microphone signal in, e.g., an automotive hands-free system. The sound management signal may provide an acoustic augmentation to reduce, enhance, or create an acoustic effect, e.g., of an engine, motor, or other operating components. A signal processor receives the sound management signal and the microphone signal, and reduces or removes the sound management signal components from the microphone signal.

Systems and methods are described for modifying one of far-end signal playback and capture of local audio on an audio device. Frames of both a far-end audio stream and a near-end audio stream may be analyzed using a measure of voice activity, the analyzing producing voice data associated with each frame. Based on the voice data, a conference state may be determined, and one of playback of the far-end audio stream and capture of local audio on an audio device may be modified based on the determined conference state. By associating the likely intent with a predefined state, the device may further cull or remove unwanted or unlikely content from the device input and output. This may have a substantial advantage in allowing for full duplex operation in the case of more meaningful and continuing voice activity, particularly in the case where there are many connected endpoints.