A method according to one aspect of the present disclosure includes acquiring verbal data representing a verbal expression corresponding to a sound reproduced by an acoustic device, and displaying, on a display device, motion graphics including the verbal expression corresponding to the sound reproduced by the acoustic device in a form of a text in accordance with the verbal data. The displaying the motion graphics on the display device includes selecting a type of motion graphics that relates to the verbal expression corresponding to the reproduced sound from among various types of motion graphics and displaying the selected type of motion graphics on the display device.

Digital signal processing and machine learning techniques can be employed in a vocal capture and performance social network to computationally generate vocal pitch tracks from a collection of vocal performances captured against a common temporal baseline such as a backing track or an original performance by a popularizing artist. In this way, crowd-sourced pitch tracks may be generated and distributed for use in subsequent karaoke-style vocal audio captures or other applications. Large numbers of performances of a song can be used to generate a pitch track. Computationally determined pitch trackings from individual audio signal encodings of the crowd-sourced vocal performance set are aggregated and processed as an observation sequence of a trained Hidden Markov Model (HMM) or other statistical model to produce an output pitch track.

Example methods, apparatus and articles of manufacture to determine semantic information for audio are disclosed. Example apparatus disclosed herein are to process an audio signal obtained by a media device to determine values of a plurality of features that are characteristic of the audio signal, compare the values of the plurality of features to a first template having corresponding first ranges of the plurality of features to determine a first score, the first template associated with first semantic information, compare the values of the plurality of features to a second template having corresponding second ranges of the plurality of features to determine a second score, the second template associated with second semantic information, and associate the audio signal with at least one of the first semantic information or the second semantic information based on the first score and the second score.

Example articles of manufacture and apparatus for producing supplemental information for audio signature data are disclosed herein. An example apparatus includes memory including computer readable instructions. The example apparatus also includes a processor to execute the instructions to at least obtain first audio signature data associated with a first time period of media, obtain first semantic signature data associated with the first time period of the media and second semantic signature data associated with a second time period of the media, and when second audio signature data associated with the second time period of the media is unavailable, identify the media based on the first audio signature data associated with the first time period of media when the second semantic signature data associated with the second time period matches the first semantic signature data associated with the first time period of the media.

Music compilation methods disclosed herein include providing a database. Data is stored therein associating a user with access credentials for a plurality of music streaming services. A first server is communicatively coupled with the database and with multiple third party servers each of which includes a music library associated with the user. A list is stored in the database listing audio tracks of the libraries. A play selector is displayed on a user interface of a computing device communicatively coupled with the first server. User selection of the play selector initiates playback of a sample set, the sample set including portions of audio tracks in the list. The sample set is determined based on contextual information gathered by the computing device, the contextual information not including any user selection. Music compilation systems disclosed herein include systems configured to carry out the music compilation methods.

Digital signal processing and machine learning techniques can be employed in a vocal capture and performance social network to computationally generate vocal pitch tracks from a collection of vocal performances captured against a common temporal baseline such as a backing track or an original performance by a popularizing artist. In this way, crowd-sourced pitch tracks may be generated and distributed for use in subsequent karaoke-style vocal audio captures or other applications. Large numbers of performances of a song can be used to generate a pitch track. Computationally determined pitch trackings from individual audio signal encodings of the crowd-sourced vocal performance set are aggregated and processed as an observation sequence of a trained Hidden Markov Model (HMM) or other statistical model to produce an output pitch track.

A music genre changing system and method including a platform for artists to license and generate a song with three versions of the song. The music genre changing system provides means to reach additional listeners with different tastes in music and allows artists to explore new genres of music. Each of the plurality of versions of the music audio file (song) consists of a custom content file of the same or a different genre. Lyrics, instrumentals, tone, and beat used may be converted and modified to create two variations of the original music audio file to provide three versions of one song.

Provided is a game system capable of expanding the range of factors that affect the result of the music game. The game system is provided with control panels having individual rotational buttons. The game system provides a music game in which operation timings at which the individual rotational buttons are to be operated are guided in accordance with the rhythm of a musical piece selected from among a musical piece group. Furthermore, the game system awards card selection opportunities for selecting character cards to be used in play, from among a plurality of character cards prepared so as to have a plurality of skills which are different to each other, and which respectively correspond to changes. In a special mode, the game system implements, in the music game, the changes corresponding to the skills of the character cards selected at the card selection opportunities.

A cloud-based equalizer system for a plurality of smart speakers. Each speaker has a wireless range extender connecting to a wireless access point to directly send and receive data, including audio packet transmissions, to and from the cloud. Equalizer settings associated with the audio packet transmissions are retrieved from a cloud-based search and are communicated to and implemented by at least one of the speakers in the plurality of smart speakers. A wireless communication protocol prioritizes audio packet transmissions over other data that may be transmitted to and from each speaker.

A cloud-based equalizer system for a plurality of smart speakers. Each speaker has a wireless range extender connecting to a wireless access point to directly send and receive data, including audio packet transmissions, to and from the cloud. Equalizer settings associated with the audio packet transmissions are retrieved from a cloud-based search and are communicated to and implemented by at least one of the speakers in the plurality of smart speakers. A wireless communication protocol prioritizes audio packet transmissions over other data that may be transmitted to and from each speaker.