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Keyvan Mohajer

from Los Gatos, CA
Age ~47
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Related to:
Kamyar Mohajer, 49
Connected to:
Katayoun Mohajerani, 42Mary A Mohajeri, 33Pooneh S Mohajer, 59Sara Mohajer, 49Sheree K Mohajer, 59Tariq H Mohajir, 47Amrit P Mohal, 55Robert P Mohalley, 79Shannon Moham, 52George N Mohama, 89

Keyvan Mohajer Phones & Addresses

  • 105 Hepplewhite Ct, Los Gatos, CA 95032
  • Santa Clara, CA
  • San Jose, CA
  • Saratoga, CA
  • Stanford, CA
  • Portola Valley, CA

Work

Company: Soundhound Dec 2004 Position: President and chief executive officer

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Stanford University 2000 to 2005 Specialities: Electrical Engineering

Skills

Machine Learning • Mobile Devices • Scalability • Product Management • Mobile Applications • Strategic Partnerships • Distributed Systems • Software Engineering • Software Development • Product Development • Cloud Computing • Saas • Venture Capital

Industries

Computer Software

Resumes

Resumes

Keyvan Mohajer Photo 1

President And Chief Executive Officer

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Location:
Santa Clara, CA
Industry:
Computer Software
Work:
Soundhound
President and Chief Executive Officer
Insurancehotline.com 1999 - 2004
Chief Technology Officer
Zumo Software May 2000 - 2004
Founder and Chief Technology Officer
Education:
Stanford University 2000 - 2005
Doctorates, Doctor of Philosophy, Electrical Engineering University of Toronto 1996 - 2000
Skills:
Machine Learning
Mobile Devices
Scalability
Product Management
Mobile Applications
Strategic Partnerships
Distributed Systems
Software Engineering
Software Development
Product Development
Cloud Computing
Saas
Venture Capital

Business Records

Name / Title
Company / Classification
Phones & Addresses
Keyvan Mohajer
President
SOUNDHOUND, INC
3979 Freedom Cir SUITE 400, Santa Clara, CA 95054
1731 Technology Dr, San Jose, CA 95110
Keyvan K. Mohajer
Principal
Keyvan K Monajer
Nonresidential Construction
5642 Wintergreen Dr, Newark, CA 94560

Publications

Wikipedia

SoundHound

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The service was launched by Melodis Corporation (now SoundHound Inc), under Chief Executive Keyvan Mohajer in 2007 and has received funding from...

ISBN #

13

Us Patents

System And Method For Storing And Retrieving Non-Text-Based Information

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US Patent:
7788279, Aug 31, 2010
Filed:
Nov 9, 2006
Appl. No.:
11/558366
Inventors:
Keyvan Mohajer - Saratoga CA, US
Majid Emami - Saratoga CA, US
Michal Grabowski - Solon OH, US
James M. Hom - Long Beach CA, US
Assignee:
SoundHound, Inc. - San Jose CA
International Classification:
G06F 17/30
US Classification:
707772, 707999001, 707999003, 707999005, 707999102, 707999107
Abstract:
A method for non-text-based identification of a selected item of stored music. The first broad portion of the method focuses on building a music identification database. That process requires capturing a tag of the selected musical item, and processing the tag to develop reference key to the same. Then the tag is stored, together with the reference key and an association to the stored music. The database is built by collecting a multiplicity of tags. The second broad portion of the method is retrieving a desired item of stored music from the database. That process calls for capturing a query tag from a user, and processing the query tag to develop a query key to the same. The query tag is compared to reference keys stored in the database to identify the desired item of stored music.

System And Method For Storing And Retrieving Non-Text-Based Information

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US Patent:
8041734, Oct 18, 2011
Filed:
Oct 13, 2009
Appl. No.:
12/578531
Inventors:
Keyvan Mohajer - Saratoga CA, US
Majid Emami - Saratoga CA, US
Michal Grabowski - Solon OH, US
James M. Hom - Long Beach CA, US
Assignee:
SoundHound, Inc. - San Jose CA
International Classification:
G06F 17/30
US Classification:
707772, 707766, 707804, 707913, 707916
Abstract:
A method for non-text-based identification of a selected item of stored music. The first broad portion of the method focuses on building a music identification database. That process requires capturing a tag of the selected musical item, and processing the tag to develop reference key to the same. Then the tag is stored, together with the reference key and an association to the stored music. The database is built by collecting a multiplicity of tags. The second broad portion of the method is retrieving a desired item of stored music from the database. That process calls for capturing a query tag from a user, and processing the query tag to develop a query key to the same. The query tag is compared to reference keys stored in the database to identify the desired item of stored music.

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.

System And Method For Producing Scored Search Results On A Database Using Approximate Search Queries

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US Patent:
20080082530, Apr 3, 2008
Filed:
Jul 17, 2007
Appl. No.:
11/778752
Inventors:
Michal Grabowski - Solon OH, US
Majid Emami - Saratoga CA, US
James Hom - Long Beach CA, US
Keyvan Mohajer - Saratoga CA, US
Assignee:
Melodis Corporation - Sunnyvale CA
International Classification:
G06F 17/30
US Classification:
707006000, 707E17039
Abstract:
A method for searching a database to produce search results from queries likely to contain errors. The process begins by identifying database features likely to be useful in searching, and those features are employed to index the database. After receiving a query from a user, the system develops a rough score for the query, by extracting features from the query, assigning match scores to query features matching database features; and assigning approximation scores to query features amenable to approximation analysis with database features. The rough score is used to identify identifying a set of database records for further analysis. Those records are then subjected to a more detailed rescoring process, based on correspondence between individual query elements and individual record elements, and between the query and the database record content, taken as a whole. Based on the rescoring process, output is provided to the user.

Pitch Dependent Speech Recognition Engine

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US Patent:
20080167862, Jul 10, 2008
Filed:
Jan 8, 2008
Appl. No.:
11/971070
Inventors:
Keyvan Mohajer - Saratoga CA, US
Assignee:
Melodis Corporation - Sunnyvale CA
International Classification:
G10L 11/04
US Classification:
704207
Abstract:
A method for employing pitch in a speech recognition engine. The process begins by building training models of selected speech samples, a process which begins by analyzing each sample as a sequential series of frames, each frame having a selected duration and overlap with adjacent frames. A pitch estimate of each frame is detected and recorded, and the pitch data is normalized, and the speech recognition parameters of the model are determined, after which the model is stored. Models are stored and updated for each of the set of training samples. The system is then employed to recognizing the speech content of a subject, which begins by analyzing the subject as a sequential series of frames, each frame having a selected duration and overlap with adjacent frames. A pitch estimate for each frame is detected and recorded, and the pitch data is normalized. Speech recognition techniques are then employed to recognize the content of the subject, employing the stored models.

Melodis Crystal Decoder Method And Device

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US Patent:
20100121643, May 13, 2010
Filed:
Nov 2, 2009
Appl. No.:
12/610920
Inventors:
Keyvan Mohajer - San Jose CA, US
Seyed Majid Emami - San Mateo CA, US
Jon Grossman - Cupertino CA, US
Joe Kyaw Soe Aung - Sunnyvale CA, US
Sina Sohangir - Menlo Park CA, US
Assignee:
Melodis Corporation - San Jose CA
International Classification:
G10L 15/04
G10L 15/18
G10L 15/14
US Classification:
704254, 704257, 7042561, 704E15005, 704E1502, 704E15029
Abstract:
The technology disclosed relates to a system and method for fast, accurate and parallelizable speech search, called Crystal Decoder. It is particularly useful for search applications, as opposed to dictation. It can achieve both speed and accuracy, without sacrificing one for the other. It can search different variations of records in the reference database without a significant increase in elapsed processing time. Even the main decoding part can be parallelized as the number of words increase to maintain a fast response time.

Systems And Methods For Sound Recognition

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US Patent:
20100211693, Aug 19, 2010
Filed:
May 4, 2010
Appl. No.:
12/773753
Inventors:
Aaron Steven Master - Mountain View CA, US
Timothy P. Stonehocker - Sunnyvale CA, US
Benjamin John Levitt - Mountain View CA, US
Jun Huang - San Jose CA, US
Keyvan Mohajer - San Jose CA, US
International Classification:
G06F 17/30
H04B 15/00
G06F 15/16
US Classification:
709238, 381 941, 707769, 707E17014
Abstract:
Systems and methods for recognizing sounds are provided herein. User input relating to one or more sounds is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the one or more sounds, extract music features from the one or more sounds, analyze the music features using one or more databases, and obtain information regarding the music features based on the analysis. Further, information regarding the music features of the one or more sounds may be transmitted to display on the computing device.

System And Methods For Continuous Audio Matching

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US Patent:
20120029670, Feb 2, 2012
Filed:
Jul 28, 2011
Appl. No.:
13/193514
Inventors:
Bernard Mont-Reynaud - Sunnyvale CA, US
Aaron Master - Mountain View CA, US
Timothy P. Stonehocker - Sunnyvale CA, US
Keyvan Mohajer - Saratoga CA, US
Assignee:
SoundHound, Inc. - San Jose CA
International Classification:
G06F 17/00
US Classification:
700 94
Abstract:
The present invention relates to the continuous monitoring of an audio signal and identification of audio items within an audio signal. The technology disclosed utilizes predictive caching of fingerprints to improve efficiency. Fingerprints are cached for tracking an audio signal with known alignment and for watching an audio signal without known alignment, based on already identified fingerprints extracted from the audio signal. Software running on a smart phone or other battery-powered device cooperates with software running on an audio identification server.
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Keyvan Mohajer from Los Gatos, CA, age ~47 Get Report