Codentity AITT Consistently Delivers Natural Transitions
When the patented Codentity AI Transition Technology (AITT) is licensed and implemented by an app developer or a device builder, listeners can enjoy their randomly selected digital audio music files or their previously built playlists—
—on mobile devices, in apps, or from Web streamers or satellite providers, or through integration with IN-CAR entertainment systems—without the disruptive timing errors and annoying audio levels heard in the majority of other automatic mixing products.
Codentity's technology is far superior because it does not have the execution artifacts and various DSP byproduct problems common to the majority of other designs. This means that only Codentity AI Transition Technology can bring an immediately valuable technical listening improvement experience to licensed entities competing in the vast music distribution and reproduction marketplace.
Designed for Consumer Applications
Codentity AI Transition Technology is designed for media file players in the consumer, hobbyist, and live events production markets.
There are expensive solutions made for the professional broadcast market which can achieve the same degree of mixing fidelity delivered by AITT—
—but those solutions require that each audio file's runtime duration and audio level be preassigned in the system.
The broadcast implementations are not fully automatic in the sense that certain technical attributes of each audio file (in their database container) must be independently evaluated and stored for interpretation in order to effect rendering behavior (meaning timing and audio level) at the start of each transition.
So, for broadcast software solutions, in a case with many thousands of audio files in the playlist library, the preparation time needed to assure quality mixing would be significant.
In contrast, the Codentity AI Transition Technology requires no file analysis and no advance preparation.
Simply drag and drop song titles to a playlist container programming object in the associated app, hardware device, or back-end music server—and hit the PLAY button. AITT will expertly manage all the timing and audio levels.
In Summary
Codentity AI Transition Technology focuses on automatic calculation of song timing and playback management instead of the intensive DSP signal manipulation used in other designs.
The patented, low CPU overhead, Codentity real-time music mixing process avoids the many typical flaws of DSP-based systems which often include:
• Erratic audio levels manifested as premature fade-outs and unwanted fade-ins
• The inclusion of silence gaps between songs
• Arbitrary deletion of song portions (typically at the start or the end of a transition)
• Jarring mid-song audio cuts (heard if the user chooses to skip ahead before a song is finished)
• CPU resource burst saturation
• Distortion and other audio artifacts that can occur with complex DSP filtering
• The inclusion of silence gaps between songs
• Arbitrary deletion of song portions (typically at the start or the end of a transition)
• Jarring mid-song audio cuts (heard if the user chooses to skip ahead before a song is finished)
• CPU resource burst saturation
• Distortion and other audio artifacts that can occur with complex DSP filtering
The Codentity design is different because it calculates and plays the "creative content" duration...
... (meaning the interval which represents the desirable audible portion of each discrete digital file at the expected audio level)...
... by using a series of automated steps that mimic a human radio DJ's decision-making process.
In short, the Codentity AI creative content calculation method ensures a natural and professionally polished transition (from a first song to a second song, and so on) because it respects the integrity of the original music (as digitally rendered) whether a song concludes with a hard stop or a long fade out.
Read about the Codentity AI Proof of Concept and see videos that compare Codentity's patented technology with transition implementations produced by other companies.
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