Prosecution Insights
Prosecution Insights
Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 5 art units • 6 examiners • 0 of 7 (0%) have an AI response strategy ready • 13 patents granted in the last 365 days
Soundhound AI Ip LLC has 7 pending office actions in the Communications technology area. These matters are distributed across 6 distinct examiners and 5 distinct art units. VU B HANG is the busiest examiner, currently managing 2 pending office actions. The high ratio of 5 distinct art units for 7 pending office actions indicates a broad technological footprint within the Communications sector. With 6 distinct examiners involved, the prosecution strategy must be tailored to many individual styles.
Practitioners should note that VU B HANG handles a larger share of the workload compared to the other examiners, with 2 pending office actions. The 5 distinct art units involved suggest that the portfolio covers several specialized sub-fields. This distribution requires practitioners to navigate 6 different examiner personalities. The 7 pending office actions represent a diverse set of technologies that require specialized attention for each individual case. Practitioners will need to coordinate their approach across 6 distinct examiners to ensure consistent messaging where possible within the 5 distinct art units.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 1 (14%) |
| §103 only | 2 (29%) |
| Double-patenting only | 1 (14%) |
| Multi-statute (no §101) | 3 (43%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| HANG, VU B | 2 | 74.8% | +16.9% |
| AGAHI, DARIOUSH | 1 | 83.7% | +30.1% |
| SARPONG, AKWASI | 1 | 68.2% | +28.4% |
| SERRAGUARD, SEAN ERIN | 1 | 69.1% | +34.1% |
| SITTNER, MICHAEL J | 1 | 10.9% | +14.9% |
| ARMSTRONG, ANGELA A | 1 | 73.9% | +8.8% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18771489 | SERVER SUPPORTED RECOGNITION OF WAKE PHRASES | AGAHI, DARIOUSH | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17580289 | Text-to-Speech Adapted by Machine Learning | ARMSTRONG, ANGELA A | 72d overdue |
| 18945442 | DERIVING ACOUSTIC FEATURES AND LINGUISTIC FEATURES FROM RECEIVED SPEECH AUDIO | HANG, VU B | — |
| 18461212 | NEURAL SPEECH-TO-MEANING | SERRAGUARD, SEAN ERIN | — |
| 18356659 | ARTIFICIAL INTELLIGENCE SMART ANSWERING ARCHITECTURE | SITTNER, MICHAEL J | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18945442 | DERIVING ACOUSTIC FEATURES AND LINGUISTIC FEATURES FROM RECEIVED SPEECH AUDIO | HANG, VU B | — |
| 18928627 | METHOD AND SYSTEM FOR ACOUSTIC MODEL CONDITIONING ON NON-PHONEME INFORMATION FEATURES | HANG, VU B | — |
| 18771489 | SERVER SUPPORTED RECOGNITION OF WAKE PHRASES | AGAHI, DARIOUSH | — |
| 18743562 | METHOD AND SYSTEM FOR CONVERSATION TRANSCRIPTION WITH METADATA | SARPONG, AKWASI | — |
| 18461212 | NEURAL SPEECH-TO-MEANING | SERRAGUARD, SEAN ERIN | — |
| 18356659 | ARTIFICIAL INTELLIGENCE SMART ANSWERING ARCHITECTURE | SITTNER, MICHAEL J | — |
| Art Unit | Apps |
|---|---|
| 2656 | 1 |
| 2681 | 1 |
| 2657 | 1 |
| 3621 | 1 |
| 2659 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18945442 | DERIVING ACOUSTIC FEATURES AND LINGUISTIC FEATURES FROM RECEIVED SPEECH AUDIO | HANG, VU B | — | §102§103 | Non-Final OA | — | Pending | Nov 12, 2024 |
| 18928627 | METHOD AND SYSTEM FOR ACOUSTIC MODEL CONDITIONING ON NON-PHONEME INFORMATION FEATURES | HANG, VU B | — | DP | Non-Final OA | — | Pending | Oct 28, 2024 |
| 18771489 | SERVER SUPPORTED RECOGNITION OF WAKE PHRASES | AGAHI, DARIOUSH | 2656 | §103 | Final Rejection | — | Pending | Jul 12, 2024 |
| 18743562 | METHOD AND SYSTEM FOR CONVERSATION TRANSCRIPTION WITH METADATA | SARPONG, AKWASI | 2681 | §103 | Final Rejection | — | Pending | Jun 14, 2024 |
| 18461212 | NEURAL SPEECH-TO-MEANING | SERRAGUARD, SEAN ERIN | 2657 | §103§112 | Final Rejection | — | Pending | Sep 05, 2023 |
| 18356659 | ARTIFICIAL INTELLIGENCE SMART ANSWERING ARCHITECTURE | SITTNER, MICHAEL J | 3621 | §101§103§112 | Final Rejection | — | Pending | Jul 21, 2023 |
| 17580289 | Text-to-Speech Adapted by Machine Learning | ARMSTRONG, ANGELA A | 2659 | §103§112 | Final Rejection | 72d overdue | Pending | Jan 20, 2022 |
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