Muvox LLC v. Apple Inc

I. Executive Summary and Procedural Information

• Parties & Counsel:
  • Plaintiff: Muvox LLC (New Mexico)
  • Defendant: Apple Inc. (California)
  • Plaintiff's Counsel: Rabicoff Law LLC
• Case Identification: 7:26-cv-00270, W.D. Tex., 07/16/2026
• Venue Allegations: Venue is asserted based on Defendant maintaining an established place of business in the Western District of Texas and having committed alleged acts of infringement within the district.
• Core Dispute: Plaintiff alleges that Defendant's unspecified products, related to music streaming services, infringe a patent concerning the architectural design for music categorization, playlist creation, and streaming.
• Technical Context: The technology involves analyzing audio tracks to derive objective scores for attributes like rhythm, texture, and pitch, and then using these scores to categorize music by "mood" to facilitate personalized playlist generation within a publisher-sponsored ecosystem.
• Key Procedural History: The complaint does not mention any prior litigation, inter partes review proceedings, or licensing history related to the patent-in-suit. The patent-in-suit is part of a large family of applications dating back to 2014.

Case Timeline

Date	Event
2014-03-27	Earliest Priority Date Claimed by '713 Patent
2023-01-05	'713 Patent Application Filing Date
2024-02-13	'713 Patent Issue Date
2026-07-16	Complaint Filing Date

II. Technology and Patent(s)-in-Suit Analysis

• Patent Identification: U.S. Patent No. 11,899,713, "Music streaming, playlist creation and streaming architecture," issued on February 13, 2024 (the "'713 Patent").

The Invention Explained

• Problem Addressed: The patent's background section identifies a challenge for music publishers (e.g., independent record labels, radio stations) who have music catalogs but lack a practical way to offer a branded streaming experience to end-users without either licensing to a major service or building a cost-prohibitive streaming platform from the ground up '713 Patent, col. 1:41-67
• The Patented Solution: The invention describes a system where music tracks are objectively analyzed to generate computer-derived "rhythm, texture and pitch (RTP) scores" '713 Patent, abstract These scores, which can be mapped to "moods," are stored in a universal database separate from the audio files themselves '713 Patent, col. 2:16-23 '713 Patent, Fig. 2 An end-user application, sponsored by a specific music publisher, accesses this database via an API to allow users to create playlists based on these moods, but only allows streaming of tracks the sponsoring publisher is authorized to provide '713 Patent, col. 2:26-34
• Technical Importance: This architecture aims to provide a scalable method for content owners to deploy customized, mood-based music streaming applications while retaining their own branding and controlling their specific catalog.

Key Claims at a Glance

• The complaint asserts infringement of "one or more claims" without specifying them Compl. ¶11 Independent claim 1 is a representative method claim.
• Independent Claim 1 recites a method for selecting a song, comprising the essential elements of:
  • Selecting a song based on a computer-derived comparison between a "representation of the song" and "known similarities in representations of other songs."
  • The known similarities are based "at least in part on a human-trained machine."
  • The machine is trained using representations of other songs, which are themselves based on a "human listening to each of the plurality of the other songs in order to isolate and identify frequency characteristics."
  • The frequency characteristics of the song and the other songs correspond to "one or more moods."
  • The final selection is based on the "similarity between the one or more moods of the song and the one or more moods of the plurality of the other songs."
• The complaint does not explicitly reserve the right to assert dependent claims, though this is common practice in patent litigation.

III. The Accused Instrumentality

Product Identification

• The complaint does not name a specific product, referring only to "Exemplary Defendant Products" that are purportedly identified in charts attached as Exhibit 2 Compl. ¶11 Exhibit 2 was not provided with the complaint.

Functionality and Market Context

• The complaint alleges that the accused products "practice the technology claimed by the '713 Patent" Compl. ¶16 It further claims that Defendant distributes "product literature and website materials" that instruct end-users on how to use the products in a manner that allegedly infringes '713 Patent, Compl. ¶14
• The complaint provides no specific details on the functionality of the accused products or their market position. The infringement theory relies on charts in the un-provided Exhibit 2 Compl. ¶17

IV. Analysis of Infringement Allegations

The complaint references claim charts in an un-provided exhibit Compl. ¶16 Compl. ¶17 Therefore, a claim chart summary table cannot be constructed. The narrative infringement theory is that Defendant's "Exemplary Defendant Products" directly infringe one or more claims of the '713 Patent Compl. ¶11 The complaint also alleges that Defendant's employees internally test and use these products, constituting another form of direct infringement Compl. ¶12

The patent itself provides visual examples of a user interface for implementing the invention. One such visual, Figure 3B, depicts a "Create Playlist" screen that includes filters for "MOOD" (332), such as "Peaceful" and "Sad," and secondary filters for "DECADES" and "ARTISTS" (334) '713 Patent, Fig. 3B This figure illustrates how a user might leverage the claimed mood-based selection to generate a personalized playlist. Another visual, Figure 2, presents a high-level system architecture, showing the interaction between a "Neural Net Trainer Application" (206), an "Audio Classifier Application" (208), a "Universal Database" (216), and an "End User Web Application" (210), which aligns with the overall system described in the patent's summary and claims '713 Patent, Fig. 2

Identified Points of Contention

• Scope Questions: The infringement analysis may turn on whether the accused products utilize a "human-trained machine" as specified in Claim 1. A central question for the court will be whether the specific training process described in the claim-"based on a human listening to each of the plurality of the other songs to isolate and identify frequency characteristics"-reads on the machine learning or algorithmic models allegedly used by the Defendant.
• Technical Questions: A key factual dispute will likely be whether the accused system selects songs based on "moods" that are derived from "frequency characteristics" in the manner claimed. The complaint lacks the technical detail to assess this, but discovery will likely focus on the internal workings of Defendant's music recommendation and playlist generation engines to determine if they operate in a way that maps to the elements of the asserted claims.

V. Key Claim Terms for Construction

• The Term: "human-trained machine"

• Context and Importance: This term appears in independent claim 1 and is foundational to the claimed method. Its construction will be critical, as it defines the nature of the system used to establish the "known similarities" for song comparison. Practitioners may focus on this term because it appears to tie the invention to a specific type of machine learning process.

• Intrinsic Evidence for Interpretation:

  • Evidence for a Broader Interpretation: The patent does not explicitly define the term. A party might argue that any machine learning model that uses a training dataset curated or labeled by humans (a common practice in AI) falls within the scope of a "human-trained machine."
  • Evidence for a Narrower Interpretation: Claim 1 itself provides a specific context: the machine is trained using representations based on "a human listening to each of the plurality of the other songs in order to isolate and identify frequency characteristics" '713 Patent, claim 1 The specification further describes a process where tracks are "listened to by humans to develop RTP scores that correspond to each track" '713 Patent, col. 4:36-39 This language may support a narrower construction requiring the training data to be generated from a specific human-centric analysis process, rather than just general human labeling.

• The Term: "moods"

• Context and Importance: The selection of a song in Claim 1 is ultimately based on the "similarity between the one or more moods of the song" and those of other songs. Defining what constitutes a "mood" and how it is derived from "frequency characteristics" is central to the infringement analysis.

• Intrinsic Evidence for Interpretation:

  • Evidence for a Broader Interpretation: A party could argue that "moods" should be given its plain and ordinary meaning, covering any emotional or stylistic music classification (e.g., "upbeat," "chill," "focus").
  • Evidence for a Narrower Interpretation: The specification provides specific examples, stating that RTP scores can be grouped into categories such as "the six moods of happy, excited, manic, peaceful, sad and cautious" '713 Patent, col. 5:17-20 This explicit list could be used to argue that the term is limited to these or similar affective states derived directly from the patent's described RTP scoring method.

VI. Other Allegations

• Indirect Infringement: The complaint alleges induced infringement, stating that Defendant provides "product literature and website materials" that direct end-users to use the accused products in an infringing manner Compl. ¶14 The allegation is based on knowledge "at least since being served by this Complaint" Compl. ¶15
• Willful Infringement: The complaint asserts that Defendant gained "actual knowledge of infringement" from the service of the complaint and its attached charts Compl. ¶13 It alleges that despite this knowledge, Defendant "continues to make, use, test, sell, offer for sale, market, and/or import" the infringing products, forming the basis for a willfulness claim Compl. ¶14

VII. Analyst's Conclusion: Key Questions for the Case

The resolution of this dispute will likely depend on the court's interpretation of key claim terms and the evidence produced during discovery. The central questions for the case appear to be:

1. A core issue will be one of claim construction: Can the term "human-trained machine", which the patent textually links to a specific process involving "human listening," be construed broadly enough to cover Defendant's potentially different machine learning methodologies for music analysis and recommendation?

2. A key evidentiary question will be one of technical proof: What evidence can Plaintiff obtain and present from Defendant's proprietary systems to demonstrate that they perform the specific, multi-step method of Claim 1, particularly the comparison of song "representations" and the selection based on "moods" derived from "frequency characteristics" as required by the patent?