An audio apparatus for generating a flutter echo audio signal comprises a receiver (401) arranged to receive room metadata indicative of properties of a room. The room metadata may e.g. indicate dimensions of the room and/or acoustic reflection data for boundaries of the room. An estimator (405) determines a flutter echo estimate for the room in response to the room metadata where the flutter echo estimate is indicative of a level of a flutter echo in the room. A signal generator (403) includes a feedback delay network comprising a plurality of feedback loops. The signal generator (403) is arranged to generate the flutter echo audio signal from output signals of a set of feedback loops of the plurality of feedback loops being fed an audio source signal. An adapter (407) adapts a first parameter for a first feedback loop of the set of feedback loops in response to the flutter echo estimate.

A data sonification system for representing a plurality of channels of numerical information is described wherein the rate of the periodic modulation is itself used as a vehicle for carrying information of at least one component of the multidimensional numerical data. The data sonification system includes a plurality of audio waveform generator elements. Each of the audio waveform generator elements generates an associated audio frequency waveform. Each audio frequency waveform has an audio frequency parameter and at least one timbre modulation parameter having a settable value. The timbre modulation parameter affects the timbre of the audio waveform. The data sonification system includes a mapping element for associating aspects of multidimensional numerical data with the timbre modulation parameter of each audio frequency waveform. The mapping element sets the value of the timbre modulation parameter in response to multidimensional numerical data and/or periodic modulation.

Systems, methods, and apparatuses can playback a composite audio program that is associated with an event being hosted by a real-world venue. These systems, methods, and apparatuses can seamlessly deconstruct the composite audio program into multiple audio sounds that can be collectively played back by the real-world venue. As part of this deconstruction, these systems, methods, and apparatuses can analyze the audio sounds to identify one or more characteristics, parameters, and/or attributes of these audio sounds. These systems, methods, and apparatuses can intelligently construct an audio presentation from these multiple audio sounds to playback the composite audio program within the real-world venue. As part of this construction, these systems, methods, and apparatuses construct the audio presentation based upon the one or more characteristics, parameters, and/or attributes of these audio sounds. After the constructing the audio presentation, these systems, methods, and apparatuses can configure the real-world venue as outlined in the audio presentation to playback the composite audio program within the real-world venue. As part of this constructing, these systems, methods, and apparatuses can identify audio control signals that configure the real-world venue to playback the audio presentation through real-world loudspeakers within the real-world venue.

Systems, methods, and apparatuses can playback a composite audio program that is associated with an event being hosted by a real-world venue. These systems, methods, and apparatuses can seamlessly deconstruct the composite audio program into multiple audio sounds that can be collectively played back by the real-world venue. As part of this deconstruction, these systems, methods, and apparatuses can analyze the audio sounds to identify one or more characteristics, parameters, and/or attributes of these audio sounds. These systems, methods, and apparatuses can intelligently construct an audio presentation from these multiple audio sounds to playback the composite audio program within the real-world venue. As part of this construction, these systems, methods, and apparatuses construct the audio presentation based upon the one or more characteristics, parameters, and/or attributes of these audio sounds. After the constructing the audio presentation, these systems, methods, and apparatuses can configure the real-world venue as outlined in the audio presentation to playback the composite audio program within the real-world venue. As part of this constructing, these systems, methods, and apparatuses can identify audio control signals that configure the real-world venue to playback the audio presentation through real-world loudspeakers within the real-world venue.

Equalizer controller and controlling method are disclosed. In one embodiment, an equalizer controller includes an audio classifier for identifying the audio type of an audio signal in real time; and an adjusting unit for adjusting an equalizer in a continuous manner based on the confidence value of the audio type as identified.

Multichannel data sonification arrangements for providing parallel perceptual channels for representing complex numerical data to a user seeking to identify correlations within the data are presented. In an implementation, several varying data quantities are represented by time-varying sound and presented to a user to observe both variations and correlations among sonic events or trends. The data sonification can include multiple data-modulated sound timbre classes, for example each separately rendered within a stereo sound field. The sound timbre classes can be arranged to convey a sonic metaphor.

Provided is a signal processing apparatus including a feature detection unit configured to detect, from an input signal, a detection signal including at least one of audience-generated-sound likelihood and music likelihood, a reverberation adding unit configured to add long or short reverberations to the input signal based on a detected tone being moderate or ordinary tone respectively, and a vicinity-sound generation unit configured to generate vicinity sound based on the detection signal.

Apparatus and methods for audio classifying and processing are disclosed. In one embodiment, an audio processing apparatus includes an audio classifier for classifying an audio signal into at least one audio type in real time; an audio improving device for improving experience of audience; and an adjusting unit for adjusting at least one parameter of the audio improving device in a continuous manner based on the confidence value of the at least one audio type.

There are disclosed automatic mixers and methods for creating a surround audio mix. A set of rules may be stored in a rule base. A rule engine may select a subset of the set of rules based, at least in part, on metadata associated with a plurality of stems. A mixing matrix may mix the plurality of stems in accordance with the selected subset of rules to provide three or more output channels.

Multichannel data sonification arrangements for providing parallel perceptual channels for representing complex numerical data to a user seeking to identify correlations within the data are presented. In an implementation, several varying data quantities are represented by time-varying sound and presented to a user to observe both variations and correlations among sonic events or trends. The data sonification can include multiple data-modulated sound timbre classes, for example each separately rendered within a stereo sound field. The sound timbre classes can be arranged to convey a sonic metaphor.