Abstract: A method for generating an impulse response for a listening point in a room includes: receiving a 3D model of the room, the position of at least one sound source in the 3D model, and acoustic properties of at least one boundary in the 3D model; using a wave based solver for determining a wave based impulse response of a wave based propagation of an impulse emitted at the at least one sound source in the 3D model and received at the listening point within a first acoustic frequency range; using a geometrical acoustics based solver for determining a geometrical impulse response of the ray based propagation of an impulse emitted at the at least one sound source in the 3D model and received at the listening point within a second acoustic frequency range; and generating the impulse response by merging the wave impulse response and the geometrical impulse response.

Abstract: A method for generating an impulse response representing a sound wave propagation from at least one sound source received at a listening point in a room includes obtaining the generated impulse response at the listening point in the room from a neural network architecture by providing at least the position of the listening point as input. The generated impulse response is generated using a neural network architecture. The network is trained by obtaining a 3D model of the room including the at least one sound source emitting sound in the room and obtaining a training group of simulated impulse responses, wherein each simulated impulse response is generated for a respective predefined listening point in the 3D model of the virtual room.

Abstract: A computer implemented method for training a machine learning model for audio compensation includes: receiving 3D models of a plurality of rooms, each of the 3D models comprising at least one sound source and at least one acoustic property; receiving a plurality of impulse responses at a listening position in each of the plurality of rooms, training the machine learning model for audio compensation using at least the plurality of impulse responses as input. Methods and systems using the disclosed computer implemented method and its features are also disclosed.

Abstract: A computer-implemented method for generating a device-specific room impulse response (DSRIR) describing an acoustic characteristic of a device and a room as received by the device includes: generating an at least first device-related transfer function (DRTF), wherein the at least first device related transfer function describes the acoustic characteristic of the device as received by the at least first microphone; generating a spatial room impulse response (SRIR), wherein the spatial room impulse response describes the acoustic characteristic of the room from at least one room sound source in the room and received at an at least one listening point in the room from at least one direction; and generating the device specific room impulse response (DSRIR) by combining the device related transfer function and the spatial room impulse response.