Richard F. Lyon - Los Altos CA, US Thomas C. Walters - San Francisco CA, US David Ross - San Jose CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
A63H 5/00
US Classification:
84609, 379 8801
Abstract:
A system, method, and computer readable storage medium generates an audio fingerprint for an input audio clip that is robust to differences in key, instrumentation, and other performance variations. The audio fingerprint includes a sequence of intervalgrams that represent a melody in an audio clip according pitch intervals between different time points in the audio clip. The fingerprint for an input audio clip can be compared to a set of reference fingerprints in a reference database to determine a matching reference audio clip.
Intervalgram Representation Of Audio For Melody Recognition
Richard F. Lyon - Los Altos CA, US Thomas C. Walters - San Francisco CA, US David Ross - San Jose CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
A63H 5/00
US Classification:
84609
Abstract:
A system, method, and computer readable storage medium generates an audio fingerprint for an input audio clip that is robust to differences in key, instrumentation, and other performance variations. The audio fingerprint includes a sequence of intervalgrams that represent a melody in an audio clip according pitch intervals between different time points in the audio clip. The fingerprint for an input audio clip can be compared to a set of reference fingerprints in a reference database to determine a matching reference audio clip.
Intervalgram Representation Of Audio For Melody Recognition
Richard F. Lyon - Los Altos CA, US Thomas C. Walters - San Francisco CA, US David Ross - San Jose CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
A63H 5/00
US Classification:
84609
Abstract:
A system, method, and computer readable storage medium generates an audio fingerprint for an input audio clip that is robust to differences in key, instrumentation, and other performance variations. The audio fingerprint comprises a sequence of intervalgrams that represent a melody in an audio clip according pitch intervals between different time points in the audio clip. The fingerprint for an input audio clip can be compared to a set of reference fingerprints in a reference database to determine a matching reference audio clip.
System And Method For Selective Removal Of Audio Content From A Mixed Audio Recording
Sam Kvaalen - San Francisco CA, US Thomas Chadwick Walters - San Francisco CA, US Richard Francis Lyon - Los Altos CA, US Robert Steven Glickstein - San Rafael CA, US Rushabh Ashok Doshi - Menlo Park CA, US Molly Castle Nix - San Francisco CA, US Jason Matthew Toff - San Francisco CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 3/16
US Classification:
700 94
Abstract:
Systems and techniques for removing a sound recording from an audio recording (e.g., an audio recording embedded in a media file) are presented. The system can include an identification component, a first subtraction component and a second subtraction component. The identification component identifies a sound recording in a mixed audio recording. The first subtraction component determines a local linear transformation of the sound recording and subtracts the local linear transformation of the sound recording from the mixed audio recording to generate a new mixed audio recording. The second subtraction component compares one or more segments of the sound recording with one or more corresponding segments of the new mixed audio recording and reduces a power level of the new mixed audio recording based at least in part on correlation of the one or more corresponding segments with the one or more segments.
System And Method For Selective Removal Of Audio Content From A Mixed Audio Recording
- Mountain View CA, US Sam Kvaalen - San Francisco CA, US Thomas Chadwick Walters - San Francisco CA, US Richard Francis Lyon - Los Altos CA, US Robert Steven Glickstein - San Rafael CA, US Rushabh Ashok Doshi - Menlo Park CA, US Molly Castle Nix - San Francisco CA, US Jason Matthew Toff - San Francisco CA, US
International Classification:
G06F 3/16 G10L 21/0272 G10H 1/00 G11B 27/034
Abstract:
Systems and techniques for removing a sound recording from an audio recording (e.g., an audio recording embedded in a media file) are presented. The system can include an identification component, a first subtraction component and a second subtraction component. The identification component identifies a sound recording in a mixed audio recording. The first subtraction component determines a local linear transformation of the sound recording and subtracts the local linear transformation of the sound recording from the mixed audio recording to generate a new mixed audio recording. The second subtraction component compares one or more segments of the sound recording with one or more corresponding segments of the new mixed audio recording and reduces a power level of the new mixed audio recording based at least in part on correlation of the one or more corresponding segments with the one or more segments.
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Education:
Portsmouth East High school 1989 to 1993 High School Diploma
Dr. Walters graduated from the University of Rochester School of Medicine and Dentistry in 2003. He works in Livonia, NY and specializes in Family Medicine. Dr. Walters is affiliated with Nicholas H Noyes Memorial Hospital.
Dr. Walters graduated from the University of Texas Southwestern Medical Center at Dallas in 1982. He works in Austin, TX and 2 other locations and specializes in Ophthalmology. Dr. Walters is affiliated with Northwest Hills Surgical Hospital and Seton Medical Center Austin.
"Most people who have cataract surgery are older and may have a difficult time adhering to a post-operativeeye drop regimen for various reasons," said Dr. Thomas Walters, an ophthalmologist at Texan Eye in Austin, Texas and lead researcher for the study. "Getting eye drops onto the eye can be diffi
Date: Oct 19, 2014
Category: Health
Source: Google
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