Abstract:
A method for a machine or group of machines to watermark an audio signal includes receiving an audio signal and a watermark signal including multiple symbols, and inserting at least some of the multiple symbols in multiple spectral channels of the audio signal, each spectral channel corresponding to a different frequency range. Optimization of the design incorporates minimizing the human auditory system perceiving the watermark channels by taking into account perceptual time-frequency masking, pattern detection of watermarking messages, the statistics of worst case program content such as speech, and speech-like programs.
Abstract:
A method for a machine or group of machines to watermark an audio signal may include receiving the audio signal, receiving a watermark signal, creating a spectral well on the audio signal by removing a portion of the audio signal corresponding to a frequency range, and inserting the watermark signal in the spectral well.
Abstract:
Distributed audio mixing may include transmitting a set of parameters from a local location to one or more remote locations at least multiple miles away from the local location for, at each of the one or more remote locations, one or more remote audio sources to be processed according to the parameters to produce respective one or more remote audio mixes; processing one or more local audio sources according to the parameters to produce a local audio mix; receiving the one or more remote audio mixes; and locally summing the one or more remote audio mixes to the local audio mix to obtain a final audio mix.
Abstract:
A method for a machine or group of machines to watermark speech audio transmissions includes receiving a speech audio signal, receiving a watermark signal including a message of multiple bits, each bit having one of two values, each value represented by one of two symbols, each of the symbols corresponding to a respective audio segment, and at a time t1, transmitting a first transmission including at least some of the multiple bits in multiple spectral channels of the speech audio signal, each spectral channel corresponding to a different frequency range, wherein a first one of the multiple spectral channels carries a first bit from the multiple bits while at the same time a second one of the multiple spectral channels carries a second bit from the multiple bits different from the first bit.
Abstract:
A method for a machine or group of machines to carry watermark data in an encoded audio data frame of an audio signal includes receiving the encoded audio data frame having encoded therein a portion of the audio signal. The encoded audio data frame includes a plurality of data blocks, wherein the plurality of data blocks includes, a synchronization information block, at least one encoded data block, and an error check block. The method further includes receiving modified watermark data as modified based on a masking threshold analysis of the audio signal and transforming the encoded audio data frame into a modified encoded audio data frame.
Abstract:
A method for a machine or group of machines to watermark an audio signal includes receiving an audio signal and a watermark signal including multiple symbols, and inserting at least some of the multiple symbols in multiple spectral channels of the audio signal, each spectral channel corresponding to a different frequency range. Optimization of the design incorporates minimizing the human auditory system perceiving the watermark channels by taking into account perceptual time-frequency masking, pattern detection of watermarking messages, the statistics of worst case program content such as speech, and speech-like programs.
Abstract:
A method for authenticating content via loudness signature includes receiving an input signal comprising a) an audio signal of the content and b) metadata including data indicating remotely measured loudness of the content, measuring loudness of the audio signal of the content to obtain a locally measured loudness of the content, and comparing the remotely measured loudness of the content to the locally measured loudness of the content to obtain an authentication indication based on the comparing.
Abstract:
Context-aware loudness control of audio content may include choosing from a plurality of loudness level models based on an audio reproduction device, measuring loudness level of the audio content based on the chosen loudness model, processing the real-time loudness measurement of the input audio signal to output real-time loudness level adjustment, processing a momentary loudness measurement of the input audio signal to output a momentary loudness level adjustment, processing a short-term loudness measurement of the input audio signal to output a short-term loudness level adjustment, adjusting the input audio signal based on the real-time, momentary, and short-term loudness level adjustments to output a post-processing input signal, measuring long-term loudness of the post-processing input signal to output a long-term loudness measurement, processing the long-term loudness measurement to output a post-processing level adjustment, and processing the real-time, momentary, short-term, and post-processing level adjustments to output an overall loudness level adjustment.
Abstract:
A method to watermark an audio signal may include receiving watermark data payload information, converting the watermark data payload information into a watermark audio signal including one or more watermark messages corresponding to the watermark data payload information, and inserting the one or more watermark messages into multiple spectral channels of the audio signal, wherein each of the multiple spectral channels occupies a different frequency range, wherein, once an audio segment has been inserted into a spectral channel of the audio signal, amplitude of the audio segment is held constant for the time duration of the audio segment such that a first portion of the audio segment is masked by the audio signal and a second portion of the audio segment is not masked by the audio signal.
Abstract:
Optimizing parameters includes, during a time interval, rotating from setting a first parameter to a first value for a first time period, to setting the first parameter to a second value for a second time period such that the time interval includes multiple first time periods in which the first parameter is set to the first value sequenced with multiple second time periods in which the first parameter is set to the second value; obtaining, for the time interval, a first set of ratings corresponding to the first time periods and a second set of ratings corresponding to the second time periods; averaging, for the time interval, the first set of ratings to a first average rating and the second set of ratings to a second average rating; and correlating the first average rating to the first value and the second average rating to the second value.