The present technology relates to an information processing apparatus, an information processing method, and a program that can improve satisfaction with a sound of a reflective speaker. An audio visual (AV) system includes an acoustic control unit that controls an output of an output sound from a reflective speaker on the basis of a reflection position of the output sound. The present technology can be applied to, for example, an AV system using a drive-type projector and a drive-type speaker. Further, the present technology can be applied to, for example, an AV system using a drive-type projector including a reflective speaker.

A method of multi-factor authentication includes receiving, by a remote hosting server from a terminal, a request from a user possessing a trusted device to access a remote service. The remote hosting server generates challenge chirp signal information and sends the challenge chirp signal information to the terminal and the device. Measurements are received of a room impulse response taken by each of the terminal and the trusted device using the chirp signal information. It is checked whether a location of the terminal is known based on a measurement of the room impulse response. The measurements of the room impulse response of the terminal and the trusted device are compared. A level of access to the remote service is granted to the user based on whether the location of the terminal is known and whether the trusted device is present at the location of the terminal.

A method and system are described for the continuous remote monitoring of the position and advance speed of a pig device inside a pipeline suitable for transporting a pressurized fluid, wherein the pipeline consists of a plurality of pipe sections joined to each other by welding. The method comprising the following steps: continuous acquisition and registration, by a plurality of measurement stations equipped with vibroacoustic sensors discretely located along the pipeline, of vibroacoustic signals due to hydraulic pressure transients, and/or to the vibrations generated by the pig device in movement in the contact/friction phases on the welding seams, and/or to other physical variations of the pipeline; analysis and processing, by a centralized control unit, of the vibroacoustic signals registered by the measurement stations to reveal, identify and reference the hydraulic/acoustic transients produced by the pig device during contact/friction with the weldings and/or with other variations in the internal section of the pipeline; continuous calculation of the linear position and advance speed of the pig device in relation to the time lapse between the vibroacoustic signals registered by at least two measurement stations installed along the pipeline.

A measurement systems that reduces spurious artifacts in reflected signals by generating and employing an improved maximum length sequence. Accurate acoustic measurements with both high SNR and low spurious artifacts are made possible by generating Wide MLS (WMLS) which modifies a base MLS by replacing each value with a sequence that includes the value and one or more additional values, where typically the replaced values have opposing polarities and, the additional signals have intermediate values. An exemplary intermediate values can be approximately zero value.

A measurement systems that reduces spurious artifacts in reflected signals by generating and employing an improved maximum length sequence. Accurate acoustic measurements with both high SNR and low spurious artifacts are made possible by generating Wide MLS (WMLS) which modifies a base MLS by replacing each value with a sequence that includes the value and one or more additional values, where typically the replaced values have opposing polarities and, the additional signals have intermediate values. An exemplary intermediate values can be approximately zero value.

Examples of the disclosure relate to enabling external control of noise control processing. In examples of the disclosure a location of a listener is determined. The listener is listening to audio content and the audio content is processed using noise control processing. An acoustic response at the location of the listener is determined and a control signal is provided. The control signal indicates an adjustment for one or more parameters of the noise control processing, and the adjustment is based, at least in part, on the acoustic response at the location of the listener.

The present invention relates to the real-time simulation of sound in three-dimensional virtual environments. In particular, a geometric method based on the principles of acoustic radiosity determines the room impulse responses of a virtual environment with arbitrary polygonal surfaces. The complexity of the method is of the order of the square of the number of patches that define the virtual environment. The room impulse responses are convolved with an audio signal and output through a speaker to simulate reverberation within the virtual environment, which corresponds to a physical environment.

Systems and methods of object classification at point of sale are provided. In one exemplary embodiment, a method is performed by a POS system having processing circuitry operationally coupled to a transducer operable to radiate a pressure wave and a sensor operable to sense a pressure wave. Further, the transducer and the sensor are positioned on or about the POS system so that a field of radiation of the transducer and a field of detection of the sensor are directed towards a certain region of the POS system. The method includes receiving, from the sensor, a reflected signal that represents a pressure wave radiated by the transducer that is reflected from a surface of an object when in or about the certain region of the POS system so that the object can be classified as at least one of a set of object types based on the reflected signal.

A method comprises: receiving an image of a real-world environment; using a machine learning classifier, classifying the image to produce classifications associated with acoustic presets for an acoustic environment simulation, the acoustic presets each including acoustic parameters that represent sound reverberation; and selecting an acoustic preset among the acoustic presets based on the classifications.

A method comprises: receiving an image of a real-world environment; using a machine learning classifier, classifying the image to produce classifications associated with acoustic presets for an acoustic environment simulation, the acoustic presets each including acoustic parameters that represent sound reverberation; and selecting an acoustic preset among the acoustic presets based on the classifications.