An electronic device includes a display screen and circuitry. The circuitry receives a first frequency modulated (FM) signal from a first FM radio transmitter, via a first FM radio channel. The first FM signal comprises a broadcast data signal that includes an audio segment of aural information of a performer-of-interest at of a live event, text information associated with the audio segment, and synchronization information. The synchronization information is associated with the text information and the audio segment. The circuitry extracts the synchronization information from a plurality of data packets of the broadcast data signal. The circuitry extracts a portion of the text information from the extracted plurality of data packets of the broadcast data signal based on the extracted synchronization information. The circuitry controls display of the extracted portion of the text information on the display screen.

An external extended device, an audio processing method and an audio playback method are provided. The external extended device is configured to receive power supplied and a signal transmitted by a television device and the external extended device includes: an integrated physical interface connecting the external extended device and the television device; and a sound-mixing processing chip electrically connected with the integrated physical interface and configured to: acquire an accompaniment audio signal transmitted by the television device via the integrated physical interface; perform sound-mixing processing on a user voice signal gathered by a microphone device and the accompaniment audio signal; and transmit a sound-mixed signal to a power amplifier circuit of the television device via the integrated physical interface.

According to an embodiment, there is provided a system and method for automatically generating a complete music work from a partially completed work provided by a user. One approach uses an artificial intelligence (AI) engine that is trained by creating incomplete works from a database of complete works and then instructing the AI to complete the incomplete works. A comparison is made between the completed works and the originals to determine the effectiveness of the training process. After the AI is trained, it is applied to the user's incomplete work to produce a final music item.

According to an embodiment, there is provided a system and method for automatic AI controlled loop based song construction. It provides and benefits from a machine learning AI in a audio loop selection engine for the generation of a song structure and for the selection of fitting audio loops from a database of audio loops. In one embodiment, the instant method provides a music generation process that utilizes an AI system that has been trained and validated on a music item database to complete the creation of a music item given an incomplete song that was started but not finished by a user.

A multi-channel audio system having a processor, a user interface, a plurality of audio adjustment features, an audio source comprising a plurality of audio channels and a plurality of audio tracks coupled with the audio channels, a stereo, speaker or other audio playback device so that the audio adjustment features allow a user to simultaneously, partially, or individually play the audio channels.

An interactive music audition method, apparatus and terminal are provided. The method includes: generating audition inquiry information according to audition requirement information, wherein the audition inquiry information includes a plurality of audition music options associated with the audition requirement information; generating a plurality of audition inquiry voices corresponding to the respective audition music options based on the audition inquiry information, and playing the generated audition inquiry voices; acquiring music selection information for the generated audition inquiry voices; and playing audition music according to the music selection information. Not only the interaction experience between a user and a smart device is improved, but also the accuracy of mining a user's interest is increased.

Systems, devices, media, and methods are presented for converting sounds in an audio stream. The systems and methods receive an audio conversion request initiating conversion of one or more sound characteristics of an audio stream from a first state to a second state. The systems and methods access an audio conversion model associated with an audio signature for the second state. The audio stream is converted based on the audio conversion model and an audio construct is compiled from the converted audio stream and a base audio segment. The compiled audio construct is presented at a client device.

Due to discrepancies in musical timing signatures, the invention assesses whether a recorded displacement, expressed in terms of beats and fractions, between exit and entry points for a potential musical splice or cut, corresponds to permit a seamless music splicing of different musical sections. Assessment is achieved by establishing a third time base of pulses having a length dependent upon a lowest common multiple of fractions within respective bars for different sections, with the bars of the respective sections then partitioned into an equal number of fixed length pulses. A coefficient aligns different time signatures; it is a ratio between pulses within the different sections. The coefficient identifies corresponding locations of a cut point, related to a suitable anacrusis, in terms of respectively an aligned bar, beat, quaver and fraction in differing time signatures. The coefficient ensures that the time anacrusis in one time signature is interchangeable with others.

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 computer-implemented method for music composition embodying a system for teaching the same is provided. Each composition is retrievably stored as music data selectively broken apart into different elemental portions for generating and teaching the composition of hundreds of thousands of additional songs or accompaniments for over 40 musical instruments and all types of human voices. The present invention is adapted to allow the melodies of the additional songs or accompaniments to automatically change the range in order to accommodate the notes range of the selected instrument or human voice.