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.

Abstract: 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.

Abstract: Systems and methods for searching cloud-based databases are provided herein. A service provider may have a need to make their database(s) searchable through search technology. However, the service provider may not have the resources to implement such search technology. The search technology may allow for search queries against these cloud-based databases. The technology described herein provides a solution addressing the service provider's need, by giving a search technology that furnishes search results in a fast, accurate manner. In further embodiments, systems and methods to monetize those search results are also described herein.

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.

Abstract: A method for processing a voice message in a computerized system. The method receives and records a speech utterance including a message portion and a communication portion. The method proceeds to parse the input to identify and separate the message portion and the communication portion. It then identifies communication parameters, including one or more destination mailboxes, from the communication portion, and it transmits the message portion to the destination mailbox as a voice message.

Abstract: Systems and methods for searching cloud-based databases are provided herein. A service provider may have a need to make their database(s) searchable through search technology. However, the service provider may not have the resources to implement such search technology. The search technology may allow for search queries against these cloud-based databases. The technology described herein provides a solution addressing the service provider's need, by giving a search technology that furnishes search results in a fast, accurate manner. In further embodiments, systems and methods to monetize those search results are also described herein.

Abstract: 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.

Abstract: A method for processing a voice message in a computerized system. The method receives and records a speech utterance including a message portion and a communication portion. The method proceeds to parse the input to identify and separate the message portion and the communication portion. It then identifies communication parameters, including one or more destination mailboxes, from the communication portion, and it transmits the message portion to the destination mailbox as a voice message.

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.

Abstract: 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.

Abstract: A method for processing a voice message in a computerized system. The method receives and records a speech utterance including a message portion and a communication portion. The method proceeds to parse the input to identify and separate the message portion and the communication portion. It then identifies communication parameters, including one or more destination mailboxes, from the communication portion, and it transmits the message portion to the destination mailbox as a voice message.

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.

Abstract: 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.

Abstract: A method for identifying with a broadcast stream. That method includes receiving one or more broadcast streams, from which it generates and stores an audio fingerprint of a selected portion of each received broadcast stream. A query is received, and the method generates an audio fingerprint of the query. From that point, the method continues by identifying audio content from the query, using the query audio fingerprint and a database of indexed audio content. The method concludes by identifying the source of the query using the query audio fingerprint and the stored audio fingerprints. Embodiments of the method further include predictively caching audio fingerprint sequences and corresponding audio item identifiers from a server after storing audio fingerprints extracted from the broadcast stream; and using the predictively cached audio fingerprint sequences to identify an audio item within the audio signal based on at least some additional audio fingerprints of the audio signal.

Abstract: A method for processing a natural language input to a computerized system. The method parses the input to identify a query portion and a communication portion of the input. The system then determines an answer to the query portion, including identifying communication parameters from the communication portion. Upon determining the answer, the system prepares an answer to the communication and transmits that answer. If the answer requires information from a remote source, the system creates a subsidiary query to obtain that information and then submits the subsidiary query to the remote source. A response to the query is used to compose the answer to the query from the answer to the subsidiary query. If the system concludes that the query portion does not require information from a remote source, analyzing and answering the query locally.

Abstract: 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.

Abstract: A method and system for assisting a traveler. The method initiates a travel segment and interfaces with providers of data regarding geolocation, points of interest, or traffic. During execution of the method, the system monitors geolocation data. The system can predict a route of travel, basing that prediction on past geolocation data or directions from a geolocation provider. Also during execution of the method, the system can identify data of interest to a user, based on input initiated by the user. Further, the system can solicit input from the traveler, or it can perform tasks based on predefined criteria, such as locating and identifying points of interest between two geographic locations. During operation, system can provide information to the traveler relating to data of interest. The system includes a client unit and a server unit, the client unit being mounted in an automotive vehicle or in a communications device.

Abstract: 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.

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 a reference database without a significant increase in elapsed processing time. This is accomplished by first accessing the database, and for each word representation in the database, searching an utterance for likely instances of the word representation utilizing multiple parallel processors. Even the main decoding part can be parallelized as the number of words increase to maintain a fast response time.

Abstract: Systems and methods for searching databases by sound data input are provided herein. A service provider may have a need to make their database(s) searchable through search technology. However, the service provider may not have the resources to implement such search technology. The search technology may allow for search queries using sound data input. The technology described herein provides a solution addressing the service provider's need, by giving a search technology that furnishes search results in a fast, accurate manner. In further embodiments, systems and methods to monetize those search results are also described herein.