Abstract: An audio processing method includes processing, by M first virtual speakers, a to-be-processed audio signal to obtain M first audio signals; processing, by N second virtual speakers, the to-be-processed audio signal to obtain N second audio signals; obtain M first head-related transfer functions (HRTFs) centered at a left ear position and N second HRTFs centered at a right ear position; obtain a first target audio signal based on the M first audio signals and the M first HRTFs; and obtain a second target audio signal based on the N second audio signals and the N second HRTFs.

Abstract: An apparatus provides personalized binaural audio rendering of an input signal. The apparatus has a left ear transducer configured to generate a left ear audio signal and a right ear transducer configured to generate a right ear audio signal. Moreover, the apparatus has processing circuitry configured to determine, based on a current target direction of the input signal, an adjusted current target direction using a personalized adjustment function that describes a functional relationship between a plurality of reference target directions of a reference sound signal and a plurality of perceived reference target directions of the reference sound signal as perceived by a user. The processing circuitry is further configured to implement a target direction renderer configured to generate based on the input signal and the adjusted target direction a first driving signal for driving the left ear transducer and a second driving signal for driving the right ear transducer.

Abstract: M audio signals are obtained by processing an audio signal by M virtual speakers; M first HRTFs and M second HRTFs are obtained, where the M first HRTFs corresponding to a left ear position, and the M second HRTFs corresponding to a right ear position; high-band impulse responses of some of the M first HRTFs are modified to obtain modified first target HRTFs, and high-band impulse responses of some of the M second HRTFs are modified to obtain modified second target HRTFs; a first target audio signal corresponding to the left ear position is obtained based on the modified first target HRTFs and un-modified first HRTFs, and the M audio signals; and a second target audio signal corresponding to the right ear position is obtained based on the modified second HRTFs, un-modified second target HRTFs, and the M audio signals.

Abstract: An audio processing method includes processing, by M first virtual speakers, a to-be-processed audio signal to obtain M first audio signals; processing, by N second virtual speakers, the to-be-processed audio signal to obtain N second audio signals; obtain M first head-related transfer functions (HRTFs) centered at a left ear position and N second HRTFs centered at a right ear position; obtain a first target audio signal based on the M first audio signals and the M first HRTFs; and obtain a second target audio signal based on the N second audio signals and the N second HRTFs.

Abstract: An audio signal rendering method includes obtaining a to-be-rendered audio signal by decoding a received bitstream, obtaining control information, where the control information indicates at least one of content description metadata, rendering format flag information, loudspeaker configuration information, application scene information, tracking information, posture information, or location information, and rendering the to-be-rendered audio signal based on the control information to obtain a rendered audio signal.

Abstract: This application discloses an audio rendering method and apparatus. The method includes: obtaining a to-be-rendered audio signal; determining K first combined HRTFS based on K first HRTFs and K second HRTFs; determining K second combined HRTFs based on K third HRTFs and K fourth HRTFs; determining a first target rendered signal based on the K first combined HRTFs and the to-be-rendered audio signal, where the first target rendered signal is a rendered signal output to the left ear of a listener; and determining a second target rendered signal based on the K second combined HRTFs and the to-be-rendered audio signal, where the second target rendered signal is a rendered signal output to the right ear of the listener.

Abstract: An audio processing method includes: M first audio signals are obtained by processing a to-be-processed audio signal by M first virtual speakers; N second audio signals are obtained by processing the to-be-processed audio signal by N second virtual speakers; M first head-related transfer functions (HRTFs) centered at a left ear position and N second HRTFs centered at a right ear position are obtained; a first target audio signal is obtained based on the M first audio signals and the M first HRTFs; and a second target audio signal is obtained based on the N second audio signals and the N second HRTFs.

Abstract: A method for determining subject specific digital audio data can comprise providing at least one respective audio signal input to each of a plurality of loudspeaker elements supported in a predetermined spatial relationship, in which respective locations of an effective point source of each loudspeaker element all lie in an imaginary surface that at least partially contains a spatial region where at least one aural cavity of a subject is located, thereby providing a distance between each respective location and each aural cavity of less than 1.5 meters. Responsive to at least one audio signal output from at least one of the loudspeaker elements, via at least one microphone element located at or within an aural cavity of the subject, respective subject specific audio data output is provided and is processed via an audio processing system, the subject specific audio data output, thereby providing subject specific digital audio data.

Abstract: M audio signals are obtained by processing an audio signal by M virtual speakers; M first HRTFs and M second HRTFs are obtained, where the M first HRTFs corresponding to a left ear position, and the M second HRTFs corresponding to a right ear position; high-band impulse responses of some of the M first HRTFs are modified to obtain modified first target HRTFs, and high-band impulse responses of some of the M second HRTFs are modified to obtain modified second target HRTFs; a first target audio signal corresponding to the left ear position is obtained based on the modified first target HRTFs and un-modified first HRTFs, and the M audio signals; and a second target audio signal corresponding to the right ear position is obtained based on the modified second HRTFs, un-modified second target HRTFs, and the M audio signals.

Abstract: An audio processing method includes: M audio signals are obtained by processing an audio signal by M virtual speakers; M first HRTFs and M second HRTFs are obtained, where the M first HRTFs corresponding to a left ear position, and the M second HRTFs corresponding to a right ear position; high-band impulse responses of some of the M first HRTFs are modified to obtain modified first target HRTFs, and high-band impulse responses of some of the M second HRTFs are modified to obtain modified second target HRTFs; a first target audio signal corresponding to the left ear position is obtained based on the modified first target HRTFs and un-modified first HRTFs, and the M audio signals; and a second target audio signal corresponding to the right ear position is obtained based on the modified second HRTFs, un-modified second target HRTFs, and the M audio signals.

Abstract: An audio processing method includes: M first audio signals are obtained by processing a to-be-processed audio signal by M first virtual speakers; N second audio signals are obtained by processing the to-be-processed audio signal by N second virtual speakers; M first head-related transfer functions (HRTFs) centered at a left ear position and N second HRTFs centered at a right ear position are obtained; a first target audio signal is obtained based on the M first audio signals and the M first HRTFs; and a second target audio signal is obtained based on the N second audio signals and the N second HRTFs.

Abstract: An audio processing method includes: M audio signals are obtained by processing an audio signal by M virtual speakers; M first HRTFs and M second HRTFs are obtained, where the M first HRTFs corresponding to a left ear position, and the M second HRTFs corresponding to a right ear position; high-band impulse responses of some of the M first HRTFs are modified to obtain modified first target HRTFs, and high-band impulse responses of some of the M second HRTFs are modified to obtain modified second target HRTFs; a first target audio signal corresponding to the left ear position is obtained based on the modified first target HRTFs and un-modified first HRTFs, and the M audio signals; and a second target audio signal corresponding to the right ear position is obtained based on the modified second HRTFs, un-modified second target HRTFs, and the M audio signals.

Abstract: A device may obtain information included in a corpus of documents relating to an organization. The device may identify a set of values indicating personal information for one or more individuals by using a set of natural language processing (NLP) techniques to analyze the information included in the corpus. The device may determine a set of relationships between one or more values, of the set of values indicating the personal information using one or more additional NLP techniques and/or one or more rules. The device may generate a set of user profiles for the one or more individuals based on the set of relationships between the one or more values indicating the personal information. The device may perform one or more actions associated with using the set of user profiles to service a request for information.

Abstract: A device may obtain information included in a corpus of documents relating to an organization. The device may identify a set of values indicating personal information for one or more individuals by using a set of natural language processing (NLP) techniques to analyze the information included in the corpus. The device may determine a set of relationships between one or more values, of the set of values indicating the personal information using one or more additional NLP techniques and/or one or more rules. The device may generate a set of user profiles for the one or more individuals based on the set of relationships between the one or more values indicating the personal information. The device may perform one or more actions associated with using the set of user profiles to service a request for information.