An event data recorder as a recording device for vehicles capable of recording clear sound data that may contribute to investigation of a cause of an accident in event recording data, regardless of a sound volume of an audio sound played back in the own vehicle, includes a video data acquisition unit configured to acquire video data including sound data and imaging an area around the own vehicle, a sound volume detection unit configured to detect a sound volume of an audio sound played back in the vehicle, and a recording control unit configured to record video data including data by which a sound volume of an audio sound can be determined and sound data on which an effect of an audio sound is small, when a sound volume of an audio sound detected by the sound volume detection unit is greater than a sound volume.

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.

Various embodiments of the present invention relate to an electronic device and method for cancelling (or suppressing) a noise of an audio signal of an unmanned aerial vehicle, the electronic device comprising: a movement module comprising a motor; an audio module comprising a first noise suppression module; a memory module for storing control data corresponding to driving data (round per minute RPM) of the motor; and a processor functionally coupled to the audio module, the movement module and the memory module, wherein the processor sets control data according to the driving data of the motor, and applies the set control data to the audio module so that the first noise suppression module suppresses or cancels a noise in an audio signal inputted to the audio module based on the control data. Other embodiments are also applicable.

Some embodiments of the invention are directed to techniques for suppressing or attenuating noise in audio circuitry, such as which may result from a source of electromagnetic energy being coupled to the audio circuitry. Some embodiments may employ two separate channels, a first of which captures audio information and noise, and a second of which captures the noise. Noise compensation may be performed by transforming the signal of the first channel in accordance with noise in the second channel which is identified as comprising a particular type of noise.

Methods, systems, and apparatus for audio noise reduction from a drone are disclosed. An example apparatus includes an acoustic sensor to gather acoustic data and at least one rotational motion sensor to gather rotational motion data of a first rotor and second rotational motion data of a second rotor. The example apparatus also includes an analyzer to identify a first filter that matches the first rotational motion data and identify a second filter that matches the second rotational motion data. The analyzer also is to filter the acoustic data into filtered acoustic data with the first identified filter and the second identified filter and generate an audio signal based on the filtered acoustic data.

A method improves speech recognition using a device located in proximity to a machine emitting high levels of audio noise. The microphone of the device receives the audio noise emitted by the machine and the speech emitted by a user and generates a composite signal. The device also receives a wireless communication signal from the machine comprising information on an audio noise profile and the proximity of the machine relative to the device. The audio noise profile is a representation of the audio noise emitted by the machine. Based on this information, the device determines a filter for filtering the composite signal to mitigate the audio noise before initiating the speech recognition process. The method improves speech recognition in a high audio noise environment.

A noise suppression method performed by a computer includes: obtaining input sound; detecting a cycle of power change in a non-voice segment included in the input sound; calculating a correction amount that periodically changes and is applied to a voice segment included in the input sound based on the cycle; and correcting power in at least the voice segment based on the correction amount.

A speech intelligibility enhancing system for enhancing speech to be outputted in a noisy environment, the system comprising: a speech input for receiving speech to be enhanced; a noise input for receiving real-time information concerning the noisy environment; an enhanced speech output to output said enhanced speech; and a processor configured to convert speech received from said speech input to enhanced speech to be output by said enhanced speech output, the processor being configured to: apply a spectral shaping filter to the speech received via said speech input; apply dynamic range compression to the output of said spectral shaping filter; and measure the signal to noise ratio at the noise input, wherein the spectral shaping filter comprises a control parameter and the dynamic range compression comprises a control parameter and wherein at least one of the control parameters for the dynamic range compression or the spectral shaping is updated in real time according to the measured signal to noise ratio.

Techniques are provided for defending against an ultrasonic attack on a speech enabled device. A methodology implementing the techniques according to an embodiment includes detecting voice activity in an audio signal received by the device and generating an ultrasonic jamming signal in response to the detection. The jamming signal is broadcast over a loudspeaker for up to the duration of the detected voice activity to defend against the ultrasonic attack. According to another embodiment, the ultrasonic jamming signal is generated in response to detection of a wake-on-voice key phrase in the received audio signal, and the jamming signal is broadcast over the loudspeaker for a time duration selected to be less than or equal to a time window during which spoken commands are accepted by the device following the wake-on-voice key phrase detection. The jamming signal may include white or colored noise, combinations of tones, and/or a periodic sweep frequency.

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.