Soundhound, Inc.

Soundhound Ai Ip, LLC

Timothy P Stonehocker

Keyvan Mohajer

Bernard Mont-Reynaud

Aaron Master

Jun Huang

Benjamin John Levitt

Matthias Eichstaedt

Seyed Majid Emami

Kamyar Mohajer

Zizu Gowayyed

Evelyn Jiang

Kathleen Worthington McMahon

Ryan Berryhill

Mathieu Ramona

Neil Veira

A system for performing automated speech recognition (ASR) on audio data includes a queue manager to receive a request to perform ASR on audio data, add the request to a queue of incoming requests, and determine a queue depth representing a number of requests in the queue at a given time. The system also includes a load supervisor to receive the request and the queue depth from the queue manager and assign a service level for the request based on the queue depth. In addition, the system includes a speech-to-text converter to receive the assigned service level for the request from the load supervisor, select an ASR model for the request based on the received service level, receive the audio data associated with the request, and perform ASR on the audio data using the selected ASR model.

Multiple service levels for automatic speech recognition

A system and a method are disclosed that enable sidebar conversations between two or more attendees that are participating in a primary or main meeting. The sidebar conversation occurs in conjunction or concurrently with the primary meeting. A first attendee provides commands to indicate a desire to initiate a sidebar conversation and information about a targeted attendee. The commands are analyzed to determine if a trigger phrase is included. The commands are analyzed to determine if there is an identification of a second (targeted) attendee, who is currently participating in the main meeting. If the second attendee is available, then the sidebar conversation is initiated. Additional attendees can be added to the sidebar conversation. Additional independent and simultaneous sidebar conversations can be initiated (by attendees currently participating in the active sidebar conversation), thereby allowing one attendee to conduct multiple simultaneous sidebar conversations while being able to switch between them.

Sidebar conversations

A system and method are disclosed for setting up a communication link between a device or application and a system with a controller. The controller can collect and send information to the application. A user interfaces with the controller to access the functionality of the application through providing commands to the controller. The system allows the user to interface with multiple applications.

System and method for controlling an application using natural language communication

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 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

A system and method is presented for performing dual mode speech recognition, employing a local recognition module on a mobile device and a remote recognition engine on a server device. The system accepts a spoken query from a user, and both the local recognition module and the remote recognition engine perform speech recognition operations on the query, returning a transcription and confidence score, subject to a latency cutoff time. If both sources successfully transcribe the query, then the system accepts the result having the higher confidence score. If only one source succeeds, then that result is accepted. In either case, if the remote recognition engine does succeed in transcribing the query, then a client vocabulary is updated if the remote system result includes information not present in the client vocabulary.

System and method for performing dual mode speech 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

A system and method for performing dual mode speech recognition, employing a local recognition module on a mobile device and a remote recognition engine on a server device. The system accepts a spoken query from a user, and both the local recognition module and the remote recognition engine perform speech recognition operations on the query, returning a transcription and confidence score, subject to a latency cutoff time. If both sources successfully transcribe the query, then the system accepts the result having the higher confidence score. If only one source succeeds, then that result is accepted. In either case, if the remote recognition engine does succeed in transcribing the query, then a client vocabulary is updated if the remote system result includes information not present in the client vocabulary.

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.

Components of a method and system that allow identification of music from the song or sound using only the sound of the audio being played. A system built using the method and device components disclosed processes inputs sent from a mobile phone over a telephone or data connection, though inputs might be sent through any variety of computers, communications equipment, or consumer audio devices over any of their associated audio or data networks.

Identifying music from peaks of a reference sound fingerprint

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.

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Sunnyvale, CA, United States of America

Timothy P Stonehocker