A sound output device includes an acquisition unit, an ear speaker, and a sound controller. The acquisition unit acquires data of an information sound providing an operator with information. The ear speaker outputs the information sound such that sound pressure of the information sound at a position of an ear of the operator is higher than sound pressure at positions other than the position of the ear. The sound controller controls the ear speaker to emphasize the information sound more when the information sound indicates a high degree of necessity for the operator to take action against the information sound than when the information sound indicates a low degree of the necessity.

The present disclosure relates to reverberation generation for headphone virtualization. A method of generating one or more components of a binaural room impulse response (BRIR) for headphone virtualization is described. In the method, directionally-controlled reflections are generated, wherein directionally-controlled reflections impart a desired perceptual cue to an audio input signal corresponding to a sound source location. Then at least the generated reflections are combined to obtain the one or more components of the BRIR. Corresponding system and computer program products are described as well.

The present disclosure relates to reverberation generation for headphone virtualization. A method of generating one or more components of a binaural room impulse response (BRIR) for headphone virtualization is described. In the method, directionally-controlled reflections are generated, wherein directionally-controlled reflections impart a desired perceptual cue to an audio input signal corresponding to a sound source location. Then at least the generated reflections are combined to obtain the one or more components of the BRIR. Corresponding system and computer program products are described as well.

A method for processing an audio signal in accordance with a room impulse response is described. The audio signal is separately processed with an early part and a late reverberation of the room impulse response, and the processed early part of the audio signal and the reverberated signal are combined. A transition from the early part to the late reverberation in the room impulse response is reached when a correlation measure reaches a threshold, the threshold being set dependent on the correlation measure for a selected one of the early reflections in the early part of the room impulse response.

A method for processing an audio signal in accordance with a room impulse response is described. The audio signal is separately processed with an early part and a late reverberation of the room impulse response, and the processed early part of the audio signal and the reverberated signal are combined. A transition from the early part to the late reverberation in the room impulse response is reached when a correlation measure reaches a threshold, the threshold being set dependent on the correlation measure for a selected one of the early reflections in the early part of the room impulse response.

Provided are methods and systems for generating Direct-to-Reverberant Ratio (DRR) estimates. The methods and systems use a null-steered beamformer to produce accurate DRR estimates across a variety of room sizes, reverberation times, and source-receiver distances. The DRR estimation algorithm uses spatial selectivity to separate direct and reverberant energy and account for noise separately. The formulation considers the response of the beamformer to reverberant sound and the effect of noise. The DRR estimation algorithm is more robust to background noise than existing approaches, and is applicable where a signal is recorded with two or more microphones, such as with mobile communications devices, laptop computers, and the like.

Provided are methods and systems for generating Direct-to-Reverberant Ratio (DRR) estimates. The methods and systems use a null-steered beamformer to produce accurate DRR estimates across a variety of room sizes, reverberation times, and source-receiver distances. The DRR estimation algorithm uses spatial selectivity to separate direct and reverberant energy and account for noise separately. The formulation considers the response of the beamformer to reverberant sound and the effect of noise. The DRR estimation algorithm is more robust to background noise than existing approaches, and is applicable where a signal is recorded with two or more microphones, such as with mobile communications devices, laptop computers, and the like.

The present technology relates to a signal processing device, a signal processing method, and a program that enable implementation of more effective distance feeling control. The signal processing device includes a reverb processing unit that generates a signal of a reverb component on the basis of object audio data of an audio object and a reverb parameter for the audio object. The present technology can be applied to a signal processing device.

The present technology relates to a signal processing device, a signal processing method, and a program that enable implementation of more effective distance feeling control. The signal processing device includes a reverb processing unit that generates a signal of a reverb component on the basis of object audio data of an audio object and a reverb parameter for the audio object. The present technology can be applied to a signal processing device.

Techniques for regenerating reverberation include generating a reverberation signal based on a source signal and a response of a listening space, generating a compressed reverberation signal by increasing output levels of a first portion of the reverberation signal having output levels below a threshold level more than output levels of a second portion of the reverberation signal having output levels above the threshold level, and combining the compressed reverberation signal with the source signal to form an output signal for the listening space.