Apple Inc. v. Zentian Ltd.

Court of Appeals for the Federal Circuit·Decided July 21, 2026·No. 24-2207·Unpublished

Opinion

NOTE: This disposition is nonprecedential.

United States Court of Appeals for the Federal Circuit

APPLE INC., Appellant

v.

ZENTIAN LTD.,

Appellee

2024-2207

Appeal from the United States Patent and Trademark Office, Patent Trial and Appeal Board in Nos. IPR2023- 00036, IPR2023-01195.

Decided: July 21, 2026

BRIAN ROBERT MATSUI, Morrison & Foerster LLP, Washington, DC, argued for appellant. Also represented by SETH W. LLOYD; ALEXANDRA M. AVVOCATO, New York, NY; BITA RAHEBI, REBECCA WEIRES SETRAKIAN, Los Angeles , CA.

KATHERINE E. RHOADES, Bartlit Beck LLP, Chicago, IL, argued for appellee. Also represented by JESSICA R. BERNHARDT, NEVIN M. GEWERTZ; KAYVAN B. NOROOZI, Noroozi PC, Los Angeles, CA.

2 APPLE INC. v. ZENTIAN LTD.

Before DYK, MAYER, and PROST, Circuit Judges.

DYK, Circuit Judge.

Apple Inc. (“Apple”) appeals a decision of the Patent Trial and Appeal Board (the “Board”) concluding that claims 1, 2, 4, 6–9, 11, 24, and 29 of U.S. Patent No. 10,839,789 (the ’789 patent) were not shown to be unpatentable . We vacate the Board’s decision and remand.

BACKGROUND

I

Zentian Ltd. (“Zentian”) owns the ’789 patent, which is directed toward systems, circuits, and coprocessors used in speech recognition. Claims 1 and 29 are representative for purposes of this appeal. Claim 1 recites:

An acoustic coprocessor for processing data associated with an audio signal, comprising:

a first interface for receiving at least one feature vector, wherein the feature vector is determined from the audio signal; an acoustic model memory for storing an acoustic model defining a plurality of acoustic states; a calculating apparatus for calculating distances indicating a similarity between the at least one feature vector and respective acoustic states of the acoustic model read from the acoustic model memory; and a second interface for sending at least one distance calculated by the calculating apparatus; wherein the calculating apparatus and the acoustic model memory are fabricated on a single integrated circuit.

APPLE INC. v. ZENTIAN LTD. 3

’789 patent, claim 1 (emphases added). Claim 29 claims a “speech recognition system” wherein an “acoustic coprocessor ” and “at least one [search] processor are fabricated on a single integrated circuit,” and wherein the acoustic coprocessor contains “one or more result memories,” “a status register,” and “a direct memory access (DMA) controller capable of copying [data] from the one or more result memories to a buffer memory.” See id. claim 29 (depending from claims 18, 25, and 26).

The speech recognition circuit analyzes speech sounds by breaking down an incoming digital audio stream into short “frames,” or segments of the audio stream. Id. col. 12 ll. 55–57. The audio in each frame is then converted into a “feature vector,” which represents the various characteristics of the audio. Id. col. 12 ll. 58–65. A prototypical feature vector is a series of coordinates that “represents a point in an N-dimensional space,” where each dimension corresponds to an audio characteristic, such as a particular audio frequency band. Id. col. 12 ll. 58–65, col. 13 ll. 22– 26. Each of these feature vectors is then compared against an “acoustic model,” which is a library of many acoustic “states” representing known and expected sounds in speech. See id. col. 4 ll. 12–17. In a preferred embodiment, each state contains a probability distribution mapped onto the same N-dimensional space as the feature vectors. Id. col. 13 ll. 26–40. This allows a “distance” calculation to be performed between the feature vector and each state; the shorter the distance, the more likely the audio represented by the feature vector is the known speech sound represented by the state. See id. col. 14 ll. 1–10. Once likely sounds have been identified, a “search stage” identifies likely words reflecting what was said in the digital audio stream. Id. col. 6 ll. 6–9.

Three disclosed memories perform different functions.

First, the “acoustic model memory” holds the acoustic model to which feature vectors are compared. E.g., id. col. 25 ll. 42–56. Second, the “results memories . . . stor[e]

4 APPLE INC. v. ZENTIAN LTD.

[the] calculated distances” between the feature vectors and the states of the acoustic model. Id. col. 25 ll. 58–61. Third, the “buffer memory” is additional memory space for holding the calculated distances if the results memories require additional storage space. Id. col. 6 ll. 9–15. Claim 29 also requires a “status register” that “indicate[s] the completion of calculation of [a particular] set of distances.” Id. (depending from claim 25).

Relevant to this appeal, both claims 1 and 29 require “a single integrated circuit.” Id. Claim 1 requires that the integrated circuit contain both the claimed acoustic model memory and the claimed “calculating apparatus” (i.e., the processor that calculates distances between feature vectors and the states of the acoustic model). Claim 29 requires that the integrated circuit contain both the claimed “acoustic coprocessor” (also referring to a processor that calculates distances) and the claimed “at least one [search] processor” (a separate processor that analyzes the calculated distances to identify likely words). Id. (depending from claims 10 and 28). The acoustic coprocessor of claim 29 contains “one or more result memories” and a “direct memory access (DMA) controller” that connects to the buffer memory. Id. (depending from claims 18 and 26). Claim 29 also requires an acoustic model memory, but it is not required to be part of the integrated circuit.

II

Apple petitioned for inter partes review of claims 1, 2, 4, 6–14, 16–18, 20–29, 35, 37–39, and 42–45 of the ’789 patent . In the petition, Apple argued that claim 1 was obvious over prior art reference U.S. Patent No. 5,819,222 (“Smyth”) or the combination of Smyth and U.S. Patent No. 6,832,194 (“Mozer”) and that claim 29 was obvious over Smyth, Mozer, and several other references.

APPLE INC. v. ZENTIAN LTD. 5

A

Smyth teaches a similar speech recognition circuit wherein a digital audio stream is broken into frames, each frame is converted into a feature vector, and each feature vector is compared with a set of acoustics states, contained in the “state memory,” to determine their similarity for the purpose of eventually identifying likely words. Smyth, col. 5 ll. 19–67. Smyth’s “state memory” is a component of its “classifier,” which also contains a “classifying processor” that calculates the distances between feature vectors and states in the state memory. Id. col. 5 ll. 55–57. As Smyth describes, the classifying processor could be “a single suitably programmed digital signal processor (DSP) device (such as the Motorola DSP 56000 . . .) or similar device.” See id. col. 5 ll. 49–53, col. 6 ll. 5–9. Smyth also discloses a “sequencer,” which takes the calculated distances and uses them to match the audio frames to likely words. Id. col. 6 ll. 10–12, 35–42.

Mozer teaches another similar speech recognition circuit wherein the feature vector being analyzed is stored in a memory on the integrated circuit along with a “template vector,” which functions similarly to a single state in an acoustic model. Mozer, col. 7 ll. 53–58, col. 9 l. 22–col. 10 l. 20.

B

Smyth alone and the Smyth and Mozer combination disclose most of the claim limitations. The parties’ dispute concerns the “acoustic model memory” and “integrated circuit ” limitations of claims 1 and 29. As to claim 1, the petition argued that Smyth’s state memory and disclosure of the Motorola DSP56000 disclosed the claimed acoustic model memory on an integrated circuit with a calculating apparatus. Alternatively, the petition argued that the combination of Smyth and Mozer disclosed the acoustic model memory on an integrated circuit with a calculating apparatus.

6 APPLE INC. v. ZENTIAN LTD.

In response, Zentian raised two separate arguments.

Free access — add to your briefcase to read the full text and ask questions with AI

Apple Inc. v. Zentian Ltd., (Fed. Cir. 2026).

Apple Inc. v. Zentian Ltd. (Apple Inc. v. Zentian Ltd.) — published by Counsel Stack Legal Research, free access to 12M+ legal documents.

Related

Liquid Dynamics Corp. v. Vaughan Company, Inc.
449 F.3d 1209 (Federal Circuit, 2006)
Uber Technologies, Inc. v. X One, Inc.
957 F.3d 1334 (Federal Circuit, 2020)