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Kamyar Campbell Mohajer

from Santa Clara, CA
Age ~48

Kamyar Mohajer Phones & Addresses

  • Santa Clara, CA
  • Princeville, HI
  • San Jose, CA
  • Los Gatos, CA
  • Saratoga, CA

Work

Company: Soundhound Jul 2006 Position: Vice president - strategy & planning

Education

Degree: J.D. School / High School: York University - Osgoode Hall Law School

Skills

Strategy • Intellectual Property • Mergers and Acquisitions • Corporate Law • Strategic Partnerships • Start Ups • Commercial Litigation • Mergers • Venture Capital • Business Strategy • Litigation • Strategic Planning • Corporate Finance • Mobile Devices • Negotiation • Project Planning • Legal Writing • Public Speaking • Due Diligence • Joint Ventures • Corporate Governance • Civil Litigation • Private Equity • Digital Distribution • Legal Advice • Patent Prosecution • Legal Research • Mediation • Licensing • Copyright Law • Patent Litigation

Industries

Computer Software

Resumes

Resumes

Kamyar Mohajer Photo 1

Board Member

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Location:
3979 Freedom Cir, Santa Clara, CA 95054
Industry:
Computer Software
Work:
SoundHound since Jul 2006
Vice President - Strategy & Planning

Garfin Zeidenberg LLP 2004 - 2006
Lawyer
Education:
York University - Osgoode Hall Law School
J.D.
York University - Schulich School of Business
M.B.A., Management and Finance
York University
B.F.A., Music
York University
B.Sc., Computer Science
Skills:
Strategy
Intellectual Property
Mergers and Acquisitions
Corporate Law
Strategic Partnerships
Start Ups
Commercial Litigation
Mergers
Venture Capital
Business Strategy
Litigation
Strategic Planning
Corporate Finance
Mobile Devices
Negotiation
Project Planning
Legal Writing
Public Speaking
Due Diligence
Joint Ventures
Corporate Governance
Civil Litigation
Private Equity
Digital Distribution
Legal Advice
Patent Prosecution
Legal Research
Mediation
Licensing
Copyright Law
Patent Litigation

Publications

Us Patents

Displaying Text To End Users In Coordination With Audio Playback

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US Patent:
8433431, Apr 30, 2013
Filed:
Feb 13, 2012
Appl. No.:
13/372399
Inventors:
Aaron Master - Palo Alto CA, US
Kamyar Mohajer - San Jose CA, US
Keyvan Mohajer - Los Gatos CA, US
Timothy P. Stonehocker - Sunnyvale CA, US
Bernard Mont-Reynaud - Sunnyvale CA, US
Assignee:
Soundhound, Inc. - San Jose CA
International Classification:
G06F 17/00
US Classification:
700 94, 715727
Abstract:
Technologies described relate to coordination between audio and tracking of the corresponding text in an audio recognition mode and an audio playback mode. Optionally, audio recognition includes receiving a signal corresponding to an audio track; determining an identity of the audio track and a current audio position within the audio track; displaying on a display a portion of a text that is linked and synchronized to the audio track identified and automatically scrolling the portion of the text displayed in pace with the audio track playing; and displaying a current text indicator that emphasizes current text, wherein the current text indicator is visually synchronized on the display to current audio playing from the audio track. Optionally include redetermining the current audio position in the audio track from the signal received and updating synchronization of the current text indicator with the current audio playing.

User-Provided Transcription Feedback And Correction

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US Patent:
20190035385, Jan 31, 2019
Filed:
Oct 1, 2018
Appl. No.:
16/147889
Inventors:
- Santa Clara CA, US
Kamyar MOHAJER - San Jose CA, US
Glenda MOSLEY - San Jose CA, US
Rainer LEEB - San Jose CA, US
Assignee:
SoundHound, Inc. - Santa Clara CA
International Classification:
G10L 15/01
G10L 15/06
Abstract:
A system, method, and non-transitory computer readable medium provide for a visual display of a user interface for a voice-based virtual assistant system. After displaying a transcription of user speech and performing requested actions, the system allows the user to provide, by speech or manual input, an indication of satisfaction or dissatisfaction. For transcription errors, the user is presented an opportunity to correct the transcription text. The system can present several transcription hypotheses to the user, and allow the user to choose among them, or to edit one of them, as the intended transcription. A back-end server system uses the corrected transcription to train a machine learning model to perform more accurate speech recognition or provide more useful actions for future users. A system can save one or more speech recognition transcription hypotheses and check corrected results against the other transcriptions to further improve models.

User Satisfaction Detection In A Virtual Assistant

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US Patent:
20190035386, Jan 31, 2019
Filed:
Oct 1, 2018
Appl. No.:
16/147892
Inventors:
- Santa Clara CA, US
Stephanie LAWSON - San Jose CA, US
Kamyar MOHAJER - San Jose CA, US
Glenda MOSLEY - San Jose CA, US
Assignee:
SoundHound, Inc. - Santa Clara CA
International Classification:
G10L 15/01
G10L 15/06
Abstract:
A speech and natural language-based virtual assistant parses user utterances and analyzes them in the context of recent prior actions to detect sentiment and indicators of satisfaction or dissatisfaction. Indicators are stored in a database in association with the prior command and resulting action. Databases can include timestamps, clarifications made by users, and a knowledge graph of facts. Machine learning, applied to the database, train models to deliver improved results in future user engagements.

Modular Virtual Assistant Platform

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US Patent:
20190012311, Jan 10, 2019
Filed:
Sep 11, 2018
Appl. No.:
16/128227
Inventors:
- Santa Clara CA, US
Keyvan Mohajer - Los Gatos CA, US
Kamyar Mohajer - San Jose CA, US
Bernard Mont-Reynaud - Sunnyvale CA, US
Assignee:
SoundHound, Inc. - Santa Clara CA
International Classification:
G06F 17/28
G10L 15/30
G06Q 30/02
G06F 17/27
Abstract:
A platform provides for developers of applications, such as devices, with natural language interfaces to configure the availability of vertical domain modules in applications. Modules can include grammars for parsing natural language expressions and interfaces to data sources. Third party developers can create modules with pricing models for their usage or access to their data. Device developers can browse or search available modules and test their performance for specific queries. The platform provides for devices users to access the chosen modules as configured by device developers and for charging and payment between users, application developers, and module developers.

Virtual Assistant With Error Identification

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US Patent:
20180315415, Nov 1, 2018
Filed:
Apr 26, 2017
Appl. No.:
15/497208
Inventors:
- Santa Clara CA, US
Rainer Leeb - San Jose CA, US
Stephanie Lawson - San Jose CA, US
Kamyar Mohajer - San Jose CA, US
Assignee:
SoundHound, Inc. - Santa Clara CA
International Classification:
G10L 15/01
G10L 15/06
Abstract:
Virtual assistants provide results in response to user commands and analyze user utterances in response to the result. The analysis can interpret words, recognized from the utterance, as being negative indicators that imply user dissatisfaction. Virtual assistants request follow-up information from users. Analysis also interprets words as indicators of clarification and collect information to add to a knowledgebase. Machine learning algorithms use recognized words to train a behavioral model to improve results. Virtual assistants also infer, from replacement of words in successive commands, that earlier commands had word recognition errors and infer, from addition of words, that earlier commands had interpretation errors. Virtual assistants act locally or as devices in communication with servers.

Natural Language Module Store

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US Patent:
20170154628, Jun 1, 2017
Filed:
Nov 30, 2015
Appl. No.:
14/954810
Inventors:
- Santa Clara CA, US
Kamyar Mohajer - San Jose CA, US
Bernard Mont-Reynaud - Sunnyvale CA, US
Pranav Singh - Sunnyvale CA, US
International Classification:
G10L 15/30
G06Q 30/02
G06Q 20/10
G06F 17/28
Abstract:
The present invention extends to methods, systems, and computer program products for a natural language module store. In general, the invention can be used to manage natural language modules offered through a natural language module store. Natural language module (NLM) developers can post NLMs at a NLM store to make the NLMs available for use by others. Developers can select NLMs for inclusion in natural language interpreters (NLIs) containing (and possibly integrating the functionality of) one or more NLMs. Prior to selecting a NLM, a developer can search or browse NLMs to identify an appropriate NLM. Optionally, a developer can test a NLM in the NLM store prior to inclusion in an NLI. For example, multiple NLMs purporting to provide the same specified natural language functionality can be tested relative to one another prior to selection of one of the NLMs for inclusion in an NLI.
Kamyar Campbell Mohajer from Santa Clara, CA, age ~48 Get Report