Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for audio equalization. Example instructions disclosed herein cause one or more processors to at least: detect an irregularity in a frequency representation of an audio signal in response to a change in volume between a set of frequency values exceeding a threshold; and adjust a volume at a first frequency value of the set of frequency values to reduce the irregularity..

Abstract: Methods, apparatus and articles of manufacture to identify sources of network streaming services are disclosed. An example apparatus includes a coding format identifier to identify, from a received first audio signal representing a decompressed second audio signal, an audio compression configuration used to compress a third audio signal to form the second audio signal, and a source identifier to identify a source of the second audio signal based on the identified audio compression configuration.

Abstract: Methods, apparatus and articles of manufacture to identify sources of network streaming services are disclosed. An example apparatus includes a coding format identifier to identify, from a received first audio signal representing a decompressed second audio signal, an audio compression configuration used to compress a third audio signal to form the second audio signal, and a source identifier to identify a source of the second audio signal based on the identified audio compression configuration.

Abstract: A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the computing system could then take channel-specific action based on the determined channel.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for audio equalization. Example instructions disclosed herein cause one or more processors to at least: detect an irregularity in a frequency representation of an audio signal in response to a change in volume between a set of frequency values exceeding a threshold; and adjust a volume at a first frequency value of the set of frequency values to reduce the irregularity.

Abstract: An embodiment may involve a server device transmitting, over a wide area network, a first playlist with a first duration to a client device. Possibly while the client device is playing out a current audio file of a first plurality of audio files in the playlist, the server device may receive an instruction from the client device and generate a second playlist. The second playlist may include references to a second plurality of audio files, where playout of the second plurality of audio files may have a duration that is less than the duration of the playout of the first plurality of audio files. The server device may transmit, over the wide area network, the second playlist to the client device. Reception of the second playlist at the client device may cause the audio player application to retrieve and play out the second plurality of audio files.

Abstract: An embodiment may involve a server device transmitting, over a wide area network, a first playlist with a first duration to a client device. Possibly while the client device is playing out a current audio file of a first plurality of audio files in the playlist, the server device may receive an instruction from the client device and generate a second playlist. The second playlist may include references to a second plurality of audio files, where playout of the second plurality of audio files may have a duration that is less than the duration of the playout of the first plurality of audio files. The server device may transmit, over the wide area network, the second playlist to the client device. Reception of the second playlist at the client device may cause the audio player application to retrieve and play out the second plurality of audio files.

Abstract: Methods and apparatus to identify sources of network streaming services using windowed sliding transforms are disclosed.

Abstract: A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the computing system could then take channel-specific action based on the determined channel.

Abstract: A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the server then takes channel-specific action based on the determined channel.

Abstract: An embodiment may involve a server device transmitting, over a wide area network, a first playlist with a first duration to a client device. Possibly while the client device is playing out a current audio file of a first plurality of audio files in the playlist, the server device may receive an instruction from the client device and generate a second playlist. The second playlist may include references to a second plurality of audio files, where playout of the second plurality of audio files may have a duration that is less than the duration of the playout of the first plurality of audio files. The server device may transmit, over the wide area network, the second playlist to the client device. Reception of the second playlist at the client device may cause the audio player application to retrieve and play out the second plurality of audio files.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to adjust audio playback settings. Example apparatus disclosed herein include an equalization (EQ) model query generator to generate a query to a neural network, the query including a representation of a sample of an audio signal; an EQ filter settings analyzer to: access a plurality of audio playback settings determined by the neural network based on the query; and determine a filter coefficient to apply to the audio signal based on the plurality of audio playback settings; an EQ personalization manager to; generate a personalized EQ setting; and an EQ adjustment implementor to: blend the personalized EQ setting and the filter coefficient to generate a blended equalization; and apply the blended equalization to the audio signal in a first duration.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to adjust audio playback settings based on analysis of audio characteristics. Example apparatus disclosed herein include an equalization (EQ) model query generator to generate a query to a neural network, the query including a representation of a sample of an audio signal; an EQ filter settings analyzer to: access a plurality of audio playback settings determined by the neural network based on the query; and determine a filter coefficient to apply to the audio signal based on the plurality of audio playback settings; and an EQ adjustment implementer to apply the filter coefficient to the audio signal in a first duration.

Abstract: An embodiment may involve a server device transmitting, over a wide area network, a first playlist with a first duration to a client device. Possibly while the client device is playing out a current audio file of a first plurality of audio files in the playlist, the server device may receive an instruction from the client device and generate a second playlist. The second playlist may include references to a second plurality of audio files, where playout of the second plurality of audio files may have a duration that is less than the duration of the playout of the first plurality of audio files. The server device may transmit, over the wide area network, the second playlist to the client device. Reception of the second playlist at the client device may cause the audio player application to retrieve and play out the second plurality of audio files.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for dynamic volume adjustment via audio classification.

Abstract: Methods, apparatus and articles of manufacture to identify sources of network streaming services are disclosed. An example method includes receiving a first audio signal that represents a decompressed second audio signal, identifying, from the first audio signal, a parameter of an audio compression configuration used to form the decompressed second audio signal, and identifying a source of the decompressed second audio signal based on the identified audio compression configuration.

Abstract: An embodiment may involve, based on a profile associated with a client device, selecting an audio file containing music. Based on an attribute of the audio file containing the music, an audio file containing a story may be selected. A playlist for the client device may be generated, where the playlist includes (i) a reference to the audio file containing the music, and (ii) a reference to the audio file containing the story. A server device may transmit the playlist to the client device over a wide area network. Reception of the playlist at the client device may cause an audio player application to retrieve and play out each of the audio file containing the music and the audio file containing the story.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for dynamic volume adjustment via audio classification. Examples methods include analyzing, with a neural network trained model, a parameter of an audio signal associated with a first volume level to determine a classification group associated with the audio signal, determining an input volume of the audio signal, the selection based on the classification group associated with the audio signal, applying a gain value to the audio signal, the gain value based on the classification group and the input volume, the gain value to modify the first volume level to a second volume level, and applying a compression value to the audio signal, the compression value to modify the second volume level to a third volume level that satisfies a target volume threshold.

Abstract: An embodiment may involve a server device obtaining an audio file containing a story. The server device may determine a mood of the story. The server device may select an audio file containing music, where the audio file containing the music is associated with a music attribute that is indicative of the mood. The server device may generate a playlist for the client device, where the playlist includes (i) a reference to the audio file containing the music, and (ii) a reference to the audio file containing the story. The server device may transmit the playlist, over a wide area network, to the client device. Reception of the playlist at the client device may cause an audio player application to retrieve and play out each audio file therein.

Abstract: An embodiment may involve, based on a profile associated with a client device, selecting an audio file containing music. Based on an attribute of the audio file containing the music, an audio file containing a story may be selected. A playlist for the client device may be generated, where the playlist includes (i) a reference to the audio file containing the music, and (ii) a reference to the audio file containing the story. A server device may transmit the playlist to the client device over a wide area network. Reception of the playlist at the client device may cause an audio player application to retrieve and play out each of the audio file containing the music and the audio file containing the story.