Abstract: Described herein is a method of low-bitrate coding of audio data and generating enhancement metadata for controlling audio enhancement of the low-bitrate coded audio data at a decoder side, including the steps of: (a) core encoding original audio data at a low bitrate to obtain encoded audio data; (b) generating enhancement metadata to be used for controlling a type and/or amount of audio enhancement at the decoder side after core decoding the encoded audio data; and (c) outputting the encoded audio data and the enhancement metadata. Described is further an encoder configured to perform said method. Described is moreover a method for generating enhanced audio data from low-bitrate coded audio data based on enhancement metadata and a decoder configured to perform said method.

Abstract: In an embodiment, a spatio-level filter (SLF) is created by obtaining a first set of samples from a plurality of target source level and spatial distributions in frequency subbands in a frequency domain, obtaining a second set of samples from a plurality of background level and spatial distributions in frequency subbands in a frequency domain, adding the first and second sets of samples to create a combined set of samples, detecting level and spatial parameters for each sample in the combined set of samples for each subband, within subbands, weighting the detected level and spatial parameters by their respective level and spatial distributions for the target source and backgrounds; storing the weighted level, spatial parameters and signal-to-noise ratio (SNR) within subbands for each sample in the combined set of samples in a table; and re-indexing the table by the weighted level and spatial parameters and subband.

Abstract: In an embodiment, a method comprises: transforming one or more frames of a two-channel time domain audio signal into a time-frequency domain representation including a plurality of time-frequency tiles, wherein the frequency domain of the time-frequency domain representation includes a plurality of frequency bins grouped into subbands. For each time-frequency tile, the method comprises: calculating spatial parameters and a level for the time-frequency tile; modifying the spatial parameters using shift and squeeze parameters; obtaining a softmask value for each frequency bin using the modified spatial parameters, the level and subband information; and applying the softmask values to the time-frequency tile to generate a modified time-frequency tile of an estimated audio source.

Abstract: A method comprises: obtaining softmask values for frequency bins of time-frequency tiles representing an audio signal; reducing, or expanding and limiting, the softmask values; and applying the reduced, or expanded and limited, softmask values to the frequency bins to create a time-frequency representation of an estimated target source. An alternative method comprises, for each time-frequency tile: obtaining softmask values; applying the softmask values to the frequency bins to create a time-frequency domain representation of an estimated target source; obtaining a panning parameter and a source concentration estimates for the target source; determining, using the panning parameter estimate and the softmask values, a magnitude for the time-frequency representation of the estimated target source; determining, using the panning parameter estimate and the source phase concentration estimate, a phase for the time-frequency representation of the estimated target source; and combining the magnitude and the phase.

Abstract: Computer-implemented methods and devices for combined audio separation and classification are provided. An estimated separated signal is time gated based on a determination of an audio classifier of, at least in part, the original mix of signals before separation. Combined separation, classification, and time gating of both the estimated signal and a residual signal are also provided.

Abstract: Described herein is a method of low-bitrate coding of audio data and generating enhancement metadata for controlling audio enhancement of the low-bitrate coded audio data at a decoder side, including the steps of: (a) core encoding original audio data at a low bitrate to obtain encoded audio data; (b) generating enhancement metadata to be used for controlling a type and/or amount of audio enhancement at the decoder side after core decoding the encoded audio data; and (c) outputting the encoded audio data and the enhancement metadata. Described is further an encoder configured to perform said method. Described is moreover a method for generating enhanced audio data from low-bitrate coded audio data based on enhancement metadata and a decoder configured to perform said method.

Abstract: Embodiments are described for calibrating a speaker in a device having a microphone by inputting an original audio signal to a processing component and an output stage of the device for playback through the speakers, receiving playback sound output from the speakers through the microphone to generate a microphone signal, and inputting the microphone signal into the processing component to calibrate the speakers for optimal playback of the original audio signal, wherein the processing component is configured to compare the original audio signal to the microphone signal and correct the microphone signal by one or more audio processing functions in accordance with a refresh schedule.

Abstract: Essence of a media program can be encoded such that it carries essence identification information and a set of time points. Auxiliary content such as companion content and other auxiliary data can be associated with the essence of the media program by way of the set of time points. The set of time points and/or fingerprints used to retrieve/recover the set of time points can be delivered to one or more of a media device, a companion device/application, etc., in any of a variety of different methods. Through the set of time points and/or fingerprints, and user preferences, the auxiliary content can be retrieved by the one or more of the media device, the companion device/application, etc., presented and/or interacted with a user. In some embodiments, the auxiliary content as described herein can be customized for a specific sender and/or a specific recipient.

Abstract: Embodiments are described for calibrating a speaker in a device having a microphone by inputting an original audio signal to a processing component and an output stage of the device for playback through the speakers, receiving playback sound output from the speakers through the microphone to generate a microphone signal, and inputting the microphone signal into the processing component to calibrate the speakers for optimal playback of the original audio signal, wherein the processing component is configured to compare the original audio signal to the microphone signal and correct the microphone signal by one or more audio processing functions in accordance with a refresh schedule.

Abstract: Systems and methods for recognizing sounds are provided herein. User input relating to one or more sounds is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the one or more sounds, extract music features from the one or more sounds, analyze the music features using one or more databases, and obtain information regarding the music features based on the analysis. Further, information regarding the music features of the one or more sounds may be transmitted to display on the computing device.

Abstract: Essence of a media program can be encoded such that it carries essence identification information and a set of time points. Auxiliary content such as companion content and other auxiliary data can be associated with the essence of the media program by way of the set of time points. The set of time points and/or fingerprints used to retrieve/recover the set of time points can be delivered to one or more of a media device, a companion device/application, etc., in any of a variety of different methods. Through the set of time points and/or fingerprints, and user preferences, the auxiliary content can be retrieved by the one or more of the media device, the companion device/application, etc., presented and/or interacted with a user. In some embodiments, the auxiliary content as described herein can be customized for a specific sender and/or a specific recipient.

Abstract: A reference fingerprint is generated from essence of each corresponding time segment of a media program. A watermark request with the reference fingerprint is sent to a media content identification server. An individual watermark value for the corresponding time segment of the media program is received from the media content identification server in a response to the watermark request. A watermarked version of the media program is generated to comprise one or more individual watermark values embedded in essence of the media program that include the individual watermark value for the corresponding time segment of the media program. Watermark data rates and update rates can be chosen dynamically based on underlying media content. Existing watermark values for media content in a content identification data repository may be updated dynamically when new media content is added.

Abstract: Systems and methods for recognizing sounds are provided herein. User input relating to one or more sounds is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the one or more sounds, extract music features from the one or more sounds, analyze the music features using one or more databases, and obtain information regarding the music features based on the analysis. Further, information regarding the music features of the one or more sounds may be transmitted to display on the computing device.

Abstract: Systems and methods for determining underplayed or overplayed items are provided herein. Instructions stored in memory are executed by a processor to: calculate short term scores for radio data and music identification service data of the items, determine linear distance and logarithmic distance between radio virtual radio plays per days on one million stations (VRPDOMS) and identification VRPDOMS of the items, identify and eliminate items lacking minimum requisite number of radio VRPDOMS or identification VRPDOMS, and sort the items by largest linear distance or largest logarithmic distance first. The sorted items are then transmitted to the computing device.

Abstract: Systems and methods for recognizing sounds are provided herein. User input relating to a sound is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the sound, analyze one or more databases using data included in the discriminated sound, the one or more databases being selected based upon the discrimination of the sound. Additionally, the processor may be executed to obtain information regarding the discriminated sound, from the one or more databases, based on the analysis, and in response to the search query, transmitting for display the information regarding the discriminated sound to the computing device.

Abstract: Systems and methods for recognizing sounds are provided herein. User input relating to one or more sounds is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the one or more sounds, extract music features from the one or more sounds, analyze the music features using one or more databases, and obtain information regarding the music features based on the analysis. Further, information regarding the music features of the one or more sounds may be transmitted to display on the computing device.

Abstract: Systems and methods for recognizing sounds are provided herein. User input relating to a sound is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the sound, analyze one or more databases using data included in the discriminated sound, the one or more databases being selected based upon the discrimination of the sound. Additionally, the processor may be executed to obtain information regarding the discriminated sound, from the one or more databases, based on the analysis, and in response to the search query, transmitting for display the information regarding the discriminated sound to the computing device.

Abstract: Systems and methods for recognizing sounds are provided herein. User input relating to one or more sounds is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the one or more sounds, extract music features from the one or more sounds, analyze the music features using one or more databases, and obtain information regarding the music features based on the analysis. Further, information regarding the music features of the one or more sounds may be transmitted to display on the computing device.