USPTO Examiner PASHA ATHAR N - Art Unit 2657

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18734250PROGNOSTIC MAINTENANCE SYSTEM AND METHODJune 2024January 2025Allow800YesNo
18630990METHODS AND SYSTEMS FOR GENERATING MOBILE ENABLED EXTRACTION MODELSApril 2024November 2024Allow700NoNo
18440082NEURAL NETWORKS FOR CHANGING CHARACTERISTICS OF VOCALSFebruary 2024May 2025Allow1520YesNo
18403230NAMED ENTITY RECOGNITION IN SEARCH QUERIESJanuary 2024November 2024Allow1110NoNo
18528981SYSTEMS AND METHODS FOR RECOGNIZING A SPEECH OF A SPEAKERDecember 2023May 2025Allow1820YesNo
18530027DE-DUPLICATION AND CONTEXTUALLY-INTELLIGENT RECOMMENDATIONS BASED ON NATURAL LANGUAGE UNDERSTANDING OF CONVERSATIONAL SOURCESDecember 2023June 2025Allow1920YesNo
18530021DE-DUPLICATION AND CONTEXTUALLY-INTELLIGENT RECOMMENDATIONS BASED ON NATURAL LANGUAGE UNDERSTANDING OF CONVERSATIONAL SOURCESDecember 2023June 2025Allow1920YesNo
18513981SYSTEMS AND METHODS FOR TRAINING LANGUAGE MODELS TO REASON OVER TABLESNovember 2023March 2025Allow1610YesNo
18474853MEANING INFERENCE FROM SPEECH AUDIOSeptember 2023September 2024Allow1210YesNo
18200518SUGGESTING AN ALTERNATIVE INTERFACE WHEN ENVIRONMENTAL INTERFERENCE IS EXPECTED TO INHIBIT CERTAIN AUTOMATED ASSISTANT INTERACTIONSMay 2023March 2024Allow1000NoNo
18199515SPOKEN NOTIFICATIONSMay 2023June 2024Allow1310YesNo
18194586MINIMUM WORD ERROR RATE TRAINING FOR ATTENTION-BASED SEQUENCE-TO-SEQUENCE MODELSMarch 2023October 2023Allow710YesNo
18028094EVENT REPRESENTATION IN EMBODIED AGENTMarch 2023January 2025Abandon2200NoNo
18167815Speaker Verification with Multitask Speech ModelsFebruary 2023June 2025Allow2810NoNo
18163618SYSTEM AND METHOD FOR MATCHING A VISUAL SOURCE WITH A SOUND SIGNALFebruary 2023June 2025Allow2810NoNo
17974415DOCUMENT CREATION AND EDITING VIA AUTOMATED ASSISTANT INTERACTIONSOctober 2022June 2025Allow3260YesNo
17921243VOICE TRANSMISSION COMPENSATION APPARATUS, VOICE TRANSMISSION COMPENSATION METHOD AND PROGRAMOctober 2022April 2023Allow600YesNo
17962438DEVICE FOR THE MONITORING OF SPEECH TO IMPROVE SPEECH EFFECTIVENESSOctober 2022May 2025Abandon3110NoNo
17885152TRANSLATION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUMAugust 2022November 2024Allow2810NoNo
17870815METHODS AND SYSTEMS FOR PROCESSING, STORING, AND PUBLISHING DATA COLLECTED BY AN IN-EAR DEVICEJuly 2022September 2024Abandon2640NoNo
17813367SYSTEMS AND METHODS FOR RECOGNIZING A SPEECH OF A SPEAKERJuly 2022August 2023Allow1310YesNo
17793081IMPROVING USABILITY BY ADDING VOICE INFORMATIONJuly 2022December 2024Abandon2910NoNo
17853773EXTENDED AUDIO WATERMARKSJune 2022November 2024Allow2810NoNo
17852495ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOFJune 2022December 2022Allow600NoNo
17842863NATURAL LANGUAGE UNDERSTANDING OF CONVERSATIONAL SOURCESJune 2022October 2023Allow1620YesNo
17747944ARTIFICIAL INTELLIGENCE APPARATUS FOR RECOGNIZING SPEECH OF USER AND METHOD FOR THE SAMEMay 2022June 2023Allow1310NoNo
17664025ELECTRONIC DEVICE AND METHOD FOR DETERMINING ABNORMAL NOISEMay 2022November 2023Allow1810NoNo
17734655SUPERVISED AND UNSUPERVISED MACHINE LEARNING TECHNIQUES FOR COMMUNICATION SUMMARIZATIONMay 2022September 2024Allow2810YesNo
17726999ACOUSTIC AND NATURAL LANGUAGE PROCESSING MODELS FOR SPEECH-BASED SCREENING AND MONITORING OF BEHAVIORAL HEALTH CONDITIONSApril 2022June 2025Allow3830YesNo
17719250DETERMINING MUSICAL STYLE USING A VARIATIONAL AUTOENCODERApril 2022August 2023Allow1710YesNo
17705484SYSTEMS AND METHODS FOR TRAINING NATURAL LANGUAGE PROCESSING MODELS IN A CONTACT CENTERMarch 2022March 2025Allow3510YesNo
17706085VOICE CONTROLLED CAMERA WITH AI SCENE DETECTION FOR PRECISE FOCUSINGMarch 2022January 2025Abandon3420YesNo
17703713VOICE PROCESSING METHOD, APPARATUS, AND DEVICE AND STORAGE MEDIUMMarch 2022October 2023Allow1910YesNo
17653365Meaning Inference from Speech AudioMarch 2022May 2023Allow1510YesNo
17677087MODIFYING DYNAMIC CONVERSATIONAL RESPONSES BASED ON DETECTING REFERENCES TO SOCIALLY CLOSE PEOPLEFebruary 2022September 2024Allow3100NoNo
17676170False Suggestion Detection for User-Provided ContentFebruary 2022November 2024Allow3310YesNo
17673287QUESTION-AND-ANSWER SYSTEM AND METHOD OF CONTROLLING THE SAMEFebruary 2022October 2024Allow3210NoNo
17650825MULTI-CLASS TEXT CLASSIFIERFebruary 2022April 2024Allow2610YesNo
17649648METHOD OF LABELING AND AUTOMATING INFORMATION ASSOCIATIONS FOR CLINICAL APPLICATIONSFebruary 2022May 2025Abandon3910YesNo
17585479ZERO CODER COMPRESSIONJanuary 2022May 2024Allow2810YesNo
17580846DATA SORTING FOR GENERATING RNN-T MODELSJanuary 2022April 2024Allow2700YesNo
17561895INTENT RECOGNITION AND EMOTIONAL TEXT-TO-SPEECH LEARNINGDecember 2021April 2023Allow1510YesNo
17644749METHOD OF RECOGNIZING SPEECH OFFLINE, ELECTRONIC DEVICE, AND STORAGE MEDIUMDecember 2021April 2024Allow2810YesNo
17548672KNOWLEDGE AUGMENTED SEQUENTIAL DECISION-MAKING UNDER UNCERTAINTYDecember 2021August 2024Allow3220YesNo
17525377SPOKEN NOTIFICATIONSNovember 2021February 2023Allow1610YesNo
17478528SYSTEMS AND METHODS FOR AUTOMATED RESPONSE TO ONLINE REVIEWSSeptember 2021April 2025Allow4220NoNo
17475699ENDPOINTING IN SPEECH PROCESSINGSeptember 2021October 2024Allow3720YesNo
17459455ESTABLISHING USER PERSONA IN A CONVERSATIONAL SYSTEMAugust 2021November 2023Allow2610YesNo
17460160VOICE CALL METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUMAugust 2021September 2023Allow2510YesNo
17443557MINIMUM WORD ERROR RATE TRAINING FOR ATTENTION-BASED SEQUENCE-TO-SEQUENCE MODELSJuly 2021December 2022Allow1710NoNo
17353758METHOD, APPARATUS AND DEVICE FOR TRAINING NETWORK AND STORAGE MEDIUMJune 2021July 2023Allow2500NoNo
17350330COMPUTER-IMPLEMENTED METHOD AND APPARATUS FOR AUTOMATICALLY ANNOTATING COLUMNS OF A TABLE WITH SEMANTIC TYPESJune 2021January 2024Allow3110NoNo
17349456SYSTEMS AND METHODS FOR PERFORMING WORD-SENSE DISAMBIGUATION FOR CONTEXT-SENSITIVE SERVICESJune 2021July 2024Allow3610NoNo
17340404INERTIAL SENSOR UNIT AND METHOD FOR DETECTING A SPEECH ACTIVITYJune 2021February 2025Allow4460NoNo
17337792SYSTEMS AND METHODS FOR NATURAL LANGUAGE PROCESSINGJune 2021July 2024Allow3730YesNo
17335828SIMILARITY SCORING LEVERAGING CONSTRAINED GREEDY MATCHINGJune 2021July 2024Allow3830YesNo
17333917CROSS-DOMAIN NAMED ENTITY RECOGNITION USING KNOWLEDGE GRAPHMay 2021May 2024Allow3510YesNo
17333892SELF-SUPERVISED DOCUMENT REPRESENTATION LEARNINGMay 2021September 2023Allow2810YesNo
17331931METHOD FOR EMBEDDING AND EXECUTING AUDIO SEMANTICSMay 2021January 2023Allow2010YesNo
17320176AUTOMATED MANAGEMENT OF REVISED IVR PROMPT TRANSLATIONSMay 2021August 2023Allow2710NoNo
17293904INFORMATION PROCESSING DEVICE AND METHOD, AND PROGRAMMay 2021September 2024Allow4030NoNo
17293434LEARNING DEVICE, LEARNING METHOD AND LEARNING PROGRAMMay 2021May 2024Allow3710NoNo
17291772TEXT GENERATION WITH CUSTOMIZABLE STYLEMay 2021May 2024Allow3610YesNo
17308800APPARATUS AND METHOD FOR SPEECH PROCESSING USING A DENSELY CONNECTED HYBRID NEURAL NETWORKMay 2021October 2023Allow2910NoNo
17291534METHOD AND DEVICE FOR PROVIDING VOICE RECOGNITION SERVICEMay 2021March 2024Abandon3410NoNo
17246277METHODS AND SYSTEMS FOR GENERATING MOBILE ENABLED EXTRACTION MODELSApril 2021January 2024Allow3210YesNo
17218684NEURAL NETWORKS FOR CHANGING CHARACTERISTICS OF VOCALSMarch 2021October 2023Allow3120NoNo
17215465SYSTEMS AND METHODS FOR TRAINING LANGUAGE MODELS TO REASON OVER TABLESMarch 2021August 2023Allow2910YesNo
17213492SKILL SELECTION FOR RESPONDING TO NATURAL LANGUAGE INPUTSMarch 2021August 2024Allow4140NoNo
17277455Intention Identification Model Learning Method, Apparatus, and DeviceMarch 2021May 2024Allow3820NoNo
17200469DATA-DRIVEN SOCIAL MEDIA ANALYTICS APPLICATION SYNTHESISMarch 2021August 2023Allow2910YesNo
17197552PROGNOSTIC MAINTENANCE SYSTEM AND METHODMarch 2021February 2024Allow3620NoYes
17195792DOCUMENT MANAGEMENT APPARATUS, DOCUMENT MANAGEMENT SYSTEM, AND NON-TRANSITORY COMPUTER READABLE MEDIUMMarch 2021May 2024Abandon3810NoNo
17185664GRAPH-BASED LABELING RULE AUGMENTATION FOR WEAKLY SUPERVISED TRAINING OF MACHINE-LEARNING-BASED NAMED ENTITY RECOGNITIONFebruary 2021January 2023Allow2300NoNo
17173937NAMED ENTITY RECOGNITION IN SEARCH QUERIESFebruary 2021September 2023Allow3110NoNo
17168987NEURAL NETWORK AND METHOD FOR MACHINE LEARNING ASSISTED SPEECH RECOGNITIONFebruary 2021December 2023Abandon3420NoNo
17165440AUTOMATED GRAPH BASED INFORMATION EXTRACTIONFebruary 2021January 2023Allow2400NoNo
17250367INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHODJanuary 2021April 2024Allow3910NoNo
17132859DE-DUPLICATION AND CONTEXTUALLY-INTELLIGENT RECOMMENDATIONS BASED ON NATURAL LANGUAGE UNDERSTANDING OF CONVERSATIONAL SOURCESDecember 2020September 2023Allow3320YesNo
17128994SPEECH RECOGNITON METHOD, APPARATUS, DEVICE AND READABLE STORAGE MEDIUMDecember 2020July 2023Allow3120NoNo
17127166TRANSCRIPT CORRECTION THROUGH PROGRAMMATIC COMPARISON OF INDEPENDENTLY GENERATED TRANSCRIPTSDecember 2020July 2024Allow4340YesNo
17113807INFORMATION PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUMDecember 2020August 2023Allow3210NoNo
17100013SUGGESTING AN ALTERNATIVE INTERFACE WHEN ENVIRONMENTAL INTERFERENCE IS EXPECTED TO INHIBIT CERTAIN AUTOMATED ASSISTANT INTERACTIONSNovember 2020January 2023Allow2610YesNo
17053621Dialog System Capable of Semantic-Understanding Mapping Between User Intents and Machine ServicesNovember 2020March 2024Allow4040YesNo
17028361PHONEME-BASED NATURAL LANGUAGE PROCESSINGSeptember 2020November 2023Abandon3830NoNo
16948186DOCUMENT CREATION AND EDITING VIA AUTOMATED ASSISTANT INTERACTIONSSeptember 2020June 2022Allow2110NoNo
17004474ELECTRONIC APPARATUS AND METHOD FOR CONTROLLING ELECTRONIC APPARATUSAugust 2020July 2022Allow2310YesNo
17003176ELECTRONIC APPARATUS AND CONTROL METHOD THEREOFAugust 2020November 2022Allow2610YesNo
16993878ELECTRONIC DEVICE AND METHOD FOR CONTROLLING THE ELECTRONIC DEVICE THEREOFAugust 2020September 2022Allow2620NoNo
16941051REAL-TIME FEEDBACK FOR EFFICIENT DIALOG PROCESSINGJuly 2020December 2023Allow4130YesNo
16895318METHOD AND APPARATUS FOR SPEECH INTERACTION, AND COMPUTER STORAGE MEDIUMJune 2020July 2023Allow3720YesNo
16882622METHOD FOR GENERATING SPEECH, APPARATUS, DEVICE AND STORAGE MEDIUMMay 2020March 2023Abandon3320YesNo
16880494Textual Analysis System for Automatic Language Proficiency AssessmentMay 2020June 2022Allow2420NoNo
16859024SYSTEM AND METHOD FOR AUTOMATIC TESTING OF CONVERSATIONAL ASSISTANCEApril 2020March 2023Allow3430NoNo
16844439DETECTION OF OFF-TOPIC SPOKEN RESPONSES USING MACHINE LEARNINGApril 2020May 2022Allow2510NoNo
16834713TALK GROUP MANAGEMENT USING VOICE CONTROLMarch 2020March 2022Allow2410YesNo
16819513EFFICIENT AND FINE-GRAINED VIDEO RETRIEVALMarch 2020October 2022Allow3110NoNo
16807084INFORMATION PROCESSING METHOD AND APPARATUS THEREFORMarch 2020May 2022Allow2610NoNo
16806842REMOTE CONTROL METHOD AND APPARATUS FOR AN IMAGING APPARATUSMarch 2020April 2022Allow2610NoNo
16749350ELECTRONIC APPARATUS AND CONTROL METHOD THEREOFJanuary 2020May 2022Allow2820YesNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner PASHA, ATHAR N.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
1
Examiner Affirmed
1
(100.0%)
Examiner Reversed
0
(0.0%)
Reversal Percentile
8.6%
Lower than average

What This Means

With a 0.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is in the bottom 25% across the USPTO, indicating that appeals face significant challenges here.

Strategic Value of Filing an Appeal

Total Appeal Filings
4
Allowed After Appeal Filing
1
(25.0%)
Not Allowed After Appeal Filing
3
(75.0%)
Filing Benefit Percentile
31.7%
Lower than average

Understanding Appeal Filing Strategy

Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.

In this dataset, 25.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.

Strategic Recommendations

Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.

Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.

Examiner PASHA, ATHAR N - Prosecution Strategy Guide

Executive Summary

Examiner PASHA, ATHAR N works in Art Unit 2657 and has examined 136 patent applications in our dataset. With an allowance rate of 89.7%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 29 months.

Allowance Patterns

Examiner PASHA, ATHAR N's allowance rate of 89.7% places them in the 69% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.

Office Action Patterns

On average, applications examined by PASHA, ATHAR N receive 1.62 office actions before reaching final disposition. This places the examiner in the 43% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by PASHA, ATHAR N is 29 months. This places the examiner in the 46% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +13.7% benefit to allowance rate for applications examined by PASHA, ATHAR N. This interview benefit is in the 55% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 36.4% of applications are subsequently allowed. This success rate is in the 79% percentile among all examiners. Strategic Insight: RCEs are highly effective with this examiner compared to others. If you receive a final rejection, filing an RCE with substantive amendments or arguments has a strong likelihood of success.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 17.1% of cases where such amendments are filed. This entry rate is in the 12% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.

Pre-Appeal Conference Effectiveness

When applicants request a pre-appeal conference (PAC) with this examiner, 66.7% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 52% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 80.0% of appeals filed. This is in the 69% percentile among all examiners. Of these withdrawals, 50.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows above-average willingness to reconsider rejections during appeals. The mandatory appeal conference (MPEP § 1207.01) provides an opportunity for reconsideration.

Petition Practice

When applicants file petitions regarding this examiner's actions, 0.0% are granted (fully or in part). This grant rate is in the 2% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.

Examiner Cooperation and Flexibility

Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 19% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.

Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 25% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.

Prosecution Strategy Recommendations

Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:

  • Plan for RCE after final rejection: This examiner rarely enters after-final amendments. Budget for an RCE in your prosecution strategy if you receive a final rejection.
  • RCEs are effective: This examiner has a high allowance rate after RCE compared to others. If you receive a final rejection and have substantive amendments or arguments, an RCE is likely to be successful.

Relevant MPEP Sections for Prosecution Strategy

  • MPEP § 713.10: Examiner interviews - available before Notice of Allowance or transfer to PTAB
  • MPEP § 714.12: After-final amendments - may be entered "under justifiable circumstances"
  • MPEP § 1002.02(c): Petitionable matters to Technology Center Director
  • MPEP § 1004: Actions requiring primary examiner signature (allowances, final rejections, examiner's answers)
  • MPEP § 1207.01: Appeal conferences - mandatory for all appeals
  • MPEP § 1214.07: Reopening prosecution after appeal

Important Disclaimer

Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.

No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.

Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.

Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.