Soundhound, Inc.

Other

Soundhound Ai Ip, LLC

Soundbound, Inc.

Aaron Master

Keyvan Mohajer

Timothy P Stonehocker

Bernard Mont-Reynaud

Seyed Majid Emami

Jun Huang

Benjamin John Levitt

Kamyar Mohajer

Joel Gedalius

An audio recognition system provides for delivery of promotional content to its user. A user interface device, locally or with the assistance of a network-connected server, performs recognition of audio in response to queries. Recognition can be through a method such as processing features extracted from the audio. Audio can comprise recorded music, singing or humming, instrumental music, vocal music, spoken voice, or other recognizable types of audio. Campaign managers provide promotional content for delivery in response to audio recognized in queries.

Query-specific targeted ad delivery

Promotional content targeting based on recognized audio

The present invention relates to providing identification information in response to an audio segment using a first mode of operation including receiving an audio segment and sending the audio segment to a remote server and receiving, from the remote server, identification information relating to the audio segment, and a second mode of operation of receiving an audio segment and using stored information to obtain identification information relating to the received audio segment received, without sending the audio segment to the remote server. The present invention further includes using identification information from the remote server and using local identification information and selecting either identification information from the remote server or local identification information based on selection criteria, and generating an output based on the selected identification information.

Systems and methods for providing identification information in response to an audio segment

The present disclosure relates to systems and methods that recognize audio queries and select related information to return in response to recognition of the audio queries. The technology disclosed facilitates easy designation of aggregate user experience categories and custom audio references to be recognized. It facilitates linking and returning of selected information in response to recognition of audio queries that match the designated aggregate user experience categories or custom audio references to be recognized.

System and method for targeting content based on identified audio and multimedia

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.

System and methods for continuous audio matching

In one implementation, a method is described of retrying matching of an audio query against audio references. The method includes receiving a follow-up query that requests a retry at matching a previously submitted audio query. In some implementations, this follow-up query is received without any recognition hint that suggests how to retry matching. The follow-up query includes the audio query or a reference to the audio query to be used in the retry. The method further includes retrying matching the audio query using retry matching resources that include an expanded group of audio references, identifying at least one match and transmitting a report of the match. Optionally, the method includes storing data that correlates the follow-up query, the audio query or the reference to the audio query, and the match after retrying.

System and methods for offline audio recognition

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.

Systems and methods for sound recognition

The present disclosure relates to systems and methods that recognize audio queries and select related information to return in response to recognition of the audio queries. The technology disclosed facilitates easy designation of aggregate user experience categories and custom audio references to be recognized. It facilitates linking and return of selected information in response to recognition of audio queries that match the designated aggregate user experience categories or custom audio references to be recognized.

Systems and methods for determining underplayed or overplayed items are provided herein. Instructions stored in memory are executed by a processor to: calculate short term scores for radio data and music identification service data of the items, determine linear distance and logarithmic distance between radio virtual radio plays per days on one million stations (VRPDOMS) and identification VRPDOMS of the items, identify and eliminate items lacking minimum requisite number of radio VRPDOMS or identification VRPDOMS, and sort the items by largest linear distance or largest logarithmic distance first. The sorted items are then transmitted to the computing device.

Systems and methods for determining underplayed and overplayed items

Systems and methods for recognizing sounds are provided herein. User input relating to a sound is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the sound, analyze one or more databases using data included in the discriminated sound, the one or more databases being selected based upon the discrimination of the sound. Additionally, the processor may be executed to obtain information regarding the discriminated sound, from the one or more databases, based on the analysis, and in response to the search query, transmitting for display the information regarding the discriminated sound to the computing device.

The technology disclosed relates to audio signal processing. It includes a series of modules that individually are useful to solve audio signal processing problems. Among the problems addressed are buzz removal, selecting a pitch candidate among pitch candidates based on local continuity of pitch and regional octave consistency, making small adjustments in pitch, ensuring that a selected pitch is consistent with harmonic peaks, determining whether a given frame or region of frames includes harmonic, voiced signal, extracting harmonics from voice signals and detecting vibrato. One environment in which these modules are useful is transcribing singing or humming into a symbolic melody. Another environment that would usefully employ some of these modules is speech processing. Some of the modules, such as buzz removal, are useful in many other environments as well.

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Mountain View, CA, United States of America

Aaron Master