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Tristan Rene Jehan

from Pound Ridge, NY
Age ~50
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Also known as:
Tristan R Jehan, Tristan J Jehan
Connected to:
Caroline Jehan, 55Michael V Jehdian, 57Leo J Jehl, 96Courtney L Jehle, 40Geoffrey A Jehle, 71Helga Jehle, 90Karl A Jehle, 60Stephanie D Jehle, 53Peter Jehlen, 46Allison M Jehlicka, 47

Tristan Jehan Phones & Addresses

  • Pound Ridge, NY
  • New York, NY
  • Brooklyn, NY
  • Cambridge, MA
  • 45 Banks St, Somerville, MA 02144 (617) 623-3355
  • Oakland, CA

Work

Company: The echo nest Jul 2005 Position: Co-founder & cso

Education

School / High School: Massachusetts Institute of Technology 1999 to 2005

Skills

Machine Learning • Entrepreneurship • Music • Software Engineering • Sound • Python • Computer Science • Algorithms • Signal Processing • Pattern Recognition • C++ • Research • Start Ups • Audio • Machine Listening • Programming • Software • Dsp

Languages

English • French • Spanish

Industries

Music

Resumes

Resumes

Tristan Jehan Photo 1

Director Of Research

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Location:
24 Inman St, Cambridge, MA 02139
Industry:
Music
Work:
The Echo Nest since Jul 2005
Co-founder & CSO
Brazilnut 2004 - 2007
Musician
MIT Media Lab Sep 1999 - Jul 2005
Research Assistant
Media lab Europe 2002 - 2003
Research Fellow
CNMAT, UC Berkeley Sep 1998 - Aug 1999
Research Fellow
Education:
Massachusetts Institute of Technology 1999 - 2005
Institut de Formation Supérieure en Informatique et Communication 1994 - 1997
Université de Rennes I 1992 - 1994
Skills:
Machine Learning
Entrepreneurship
Music
Software Engineering
Sound
Python
Computer Science
Algorithms
Signal Processing
Pattern Recognition
C++
Research
Start Ups
Audio
Machine Listening
Programming
Software
Dsp
Languages:
English
French
Spanish

Publications

Wikipedia

The Echo Nest

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Key people, Tristan Jehan (co-Founder & CTO), Brian Whitman (co-Founder & CTO), Jim Lucchese (CEO). Products, Music intelligence platform. Owner(s)...

ISBN #

7

Us Patents

Determining The Similarity Of Music Using Cultural And Acoustic Information

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US Patent:
8073854, Dec 6, 2011
Filed:
Apr 10, 2008
Appl. No.:
12/101013
Inventors:
Brian Whitman - Somerville MA, US
Tristan Jehan - Somerville MA, US
Assignee:
The Echo Nest Corporation - Somerville MA
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707749, 707802, 707916
Abstract:
There is disclosed a method and storage media for determining the similarity between a first music collection and a second music collection. The similarity may be determined by comparing metadata associated with the first music collection and metadata associated with the second music collection. A plurality of comparison algorithms may be used including at least one of a comparison algorithm based on acoustic metadata and a comparison algorithm based on cultural metadata. The result of the plurality of comparison algorithms may be combined.

Method And Apparatus For Automatically Segueing Between Audio Tracks

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US Patent:
8280539, Oct 2, 2012
Filed:
Apr 2, 2008
Appl. No.:
12/061374
Inventors:
Tristan Jehan - Somerville MA, US
Assignee:
The Echo Nest Corporation - Somerville MA
International Classification:
G06F 17/00
US Classification:
700 94, 707769, 381 81, 84609, 84610, 84611, 84612
Abstract:
There is disclosed a method and storage media for automatically segueing between a first audio track and a second audio track. The first audio track and the second audio track may be analyzed to determine a preferred transition window. Segueing from the first track to the second track may occur during the preferred transition window.

Creating Music By Listening

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US Patent:
20070291958, Dec 20, 2007
Filed:
Jun 15, 2007
Appl. No.:
11/763741
Inventors:
Tristan Jehan - Somerville MA, US
International Classification:
H03G 5/00
US Classification:
381103
Abstract:
Automated creation of new music by listening is disclosed. A method to create new music may comprise listening to a plurality of music, learning from the plurality of music, and performing concatenative synthesis based on the listening and the learning to create the new music. The method may be performed on a computing device having an audio interface, such as a personal computer.

Audio Stem Identification Systems And Methods

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US Patent:
20210312941, Oct 7, 2021
Filed:
Mar 16, 2021
Appl. No.:
17/202841
Inventors:
- Stockholm, SE
François Pachet - Paris, FR
Pierre Roy - Paris, FR
Mathieu Ramona - Paris, FR
Tristan Jehan - Brooklyn NY, US
Assignee:
Spotify AB - Stockholm
International Classification:
G10L 25/51
G06F 16/632
G06N 3/04
G06N 3/08
G10L 25/30
Abstract:
Methods, systems and computer program products are provided for determining acoustic feature vectors of query and target items in a first vector space, and mapping the acoustic feature vectors to a second vector space having a lower dimension. The distribution of vectors in the second vector space can then be used to identify items from the same songs, and/or items that are complementary. A mapping function is trained using a machine learning algorithm, such that complementary audio items are closer in the second vector space than the first, according to a given distance metric.

Playlist Preview

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US Patent:
20210294843, Sep 23, 2021
Filed:
Mar 31, 2021
Appl. No.:
17/218594
Inventors:
- Stockholm, SE
Tristan Jehan - Brooklyn NY, US
Assignee:
Spotify AB - Stockholm
International Classification:
G06F 16/638
H04L 12/58
G06F 3/0484
G06F 16/438
Abstract:
A playlist preview is generated to provide a preview of media content items identified by a media playlist. The playlist preview can be created by selecting all or some of the media content items in the playlist, determining preview portions of the selected media content items, and arranging the preview portions with or without a transition effect. The playlist preview can be easily shared with other users through, for example, social media sites.

Playback Of An Unencrypted Portion Of An Audio Stream

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US Patent:
20210281625, Sep 9, 2021
Filed:
Oct 19, 2020
Appl. No.:
17/074031
Inventors:
- Stockholm, SE
Luc Succes - New York NY, US
Tristan Jehan - New York NY, US
Bror Simon Hofverberg - Partille, SE
Niklas Martin Gustavsson - Gothenburg, SE
Pär Mikael Bohrarper - Gothenburg, SE
Babar Zafar - Stockholm, SE
International Classification:
H04L 29/06
H04L 12/58
G06F 16/60
G06F 16/683
Abstract:
This disclosure concerns the providing of media, and more particularly to the streaming of media. In one example embodiment of a method for streaming an audio content item to an electronic device, the method comprises: receiving a first data message comprising instructions from an electronic device to return a preview segment associated with a selected audio content item, the preview segment being a portion of the selected audio content item; retrieving said selected audio content item from a first storage; analyzing audio content of the retrieved audio content item to locate a portion of the selected audio content item to be used as the preview segment; extracting the located portion of the selected audio content item from the retrieved audio content item; and transmitting the extracted portion of the selected audio content item unencrypted to the electronic device.

Cuepoint Determination System

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US Patent:
20210103422, Apr 8, 2021
Filed:
Oct 7, 2019
Appl. No.:
16/595404
Inventors:
- Stockholm, SE
Thor Kell - Booklyn NY, US
Rachel Malia Bittner - Brooklyn NY, US
Tristan Jehan - Brooklyn NY, US
Assignee:
SPOTIFY AB - Stockholm
International Classification:
G06F 3/16
G06N 3/04
G06F 16/683
Abstract:
A cuepoint determination system utilizes a convolutional neural network (CNN) to determine cuepoint placements within media content items to facilitate smooth transitions between them. For example, audio content from a media content item is normalized to a plurality of beats, the beats are partitioned into temporal sections, and acoustic feature groups are extracted from each beat in one or more of the temporal sections. The acoustic feature groups include at least downbeat confidence, position in bar, peak loudness, timbre and pitch. The extracted acoustic feature groups for each beat are provided as input to the CNN on a per temporal section basis to predict whether a beat immediately following the temporal section within the media content item is a candidate for cuepoint placement. A cuepoint placement is then determined from among the candidate cuepoint placements predicted by the CNN.

Audio Stem Identification Systems And Methods

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US Patent:
20210090536, Mar 25, 2021
Filed:
Sep 19, 2019
Appl. No.:
16/575889
Inventors:
- Stockholm, SE
Pierre Roy - Paris, FR
Mathieu Ramona - Paris, FR
Tristan Jehan - Brooklyn NY, US
Juan José Bosch Vicente - Paris, FR
Assignee:
Spotify AB - Stockholm
International Classification:
G10H 1/00
G06N 20/00
G06K 9/62
G06F 16/635
G06F 16/632
Abstract:
Methods, systems and computer program products are provided for identifying an audio stem. Audio stems (t, . . . , t) are stored on a stem database and songs (S, . . . , S) made with at least a subset of the plurality of the audio stems (t, . . . , t) are stored on a song database. At least partially composed song (S*) having a predetermined number of pre-selected stems (k) are received. In turn, a probability vector (or relevance value or ranking) is produced for each stem (t, . . . , t) to be complementary to the at least partially composed song (S*).
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Tristan Rene Jehan from Pound Ridge, NY, age ~50 Get Report