87 results about "Music identification" patented technology

The present invention relates to a music identification/purchasing system, specifically to a method for marking the time and the name of the radio station in portable device such as a key holder, watch, cellular phone, beeper or the like which will allow the user to learn via internet or regular telephone the name of the song, artist and/or music company by matching the stored data with broadcast archive. The system will allow for purchase of the full length of the identified music item or related music. An alternate embodiment provides the listener with convenient means to record a segment of the music in which he/she is interested. The recorded music segment is played back into an apparatus which can identify the song based on the play back and provide the user with information on the identified song such as title, singer or artist, composer, producer, etc., and provide related purchasing information. The user can make selections and provide payment data to the music identification/purchasing system which will result in the selections being delivered to the user by mail.

The personalized content system of the system combines a summary music identification value creation and identification algorithm that represents a mathematical summary music identification of a song, an audio file, or other relational music criteria and data (e.g. title, artist, genre, style, beats per minute, etc.) or any combination thereof. The derived value represents the musical taste or style attributes of a song or style. The analysis and generation of the summary music identification value is intended to take place while outside the vehicle where attention can be paid and vehicle distraction and safety is not an issue. A user can generate a single summary music identification value or can generate multiple summary music identification values for different criteria. In other cases, summary music identification values can be defined for genre, but with a much more personal touch possible than with fixed playlist radio stations. In another embodiment, a user can obtain and use someone else's summary music identification value (e.g. a celebrity, artist, friend, etc.) and use it with the system.

A method of and a system for providing an identification of a piece of information to a person tuned to a broadcasting station which is broadcasting the piece of information. The person sends a first message to a centralized information identification location having a data base storing data for identifying pieces of information. The first message describes the piece of information and preferably also identifies a receiving location to which identification of the piece of information is to be sent. In response to the first message, the data base is interrogated to identify the piece of information, and a second message is sent to the identified receiving location, including identification of the piece of information. If desired, the first message can include an order for a copy of the musical piece and payment information, and the centralized music identification location can forward an order for the copy to an order shipping center.

A humming transcription system and methodology is capable of transcribing an input humming signal into a standard notational representation. The disclosed humming transcription technique uses a statistical music recognition approach to recognize an input humming signal, model the humming signal into musical notes, and decide the pitch of each music note in the humming signal. The humming transcription system includes an input means accepting a humming signal, a humming database recording a sequence of humming data for training note models and pitch models, and a statistical humming transcription block that transcribes the input humming signal into musical notations in which the note symbols in the humming signal is segmented by phone-level Hidden Markov Models (HMMs) and the pitch value of each note symbol is modeled by Gaussian Mixture Models (GMMs), and thereby output a musical query sequence for music retrieval in later music search steps.

The personalized content system of the system combines a summary music identification value creation and identification algorithm that represents a mathematical summary music identification of a song, an audio file, or other relational music criteria and data (e.g. title, artist, genre, style, beats per minute, etc.) or any combination thereof. The derived value represents the musical taste or style attributes of a song or style. The analysis and generation of the summary music identification value is intended to take place while outside the vehicle where attention can be paid and vehicle distraction and safety is not an issue. A user can generate a single summary music identification value or can generate multiple summary music identification values for different criteria. In other cases, summary music identification values can be defined for genre, but with a much more personal touch possible than with fixed playlist radio stations. In another embodiment, a user can obtain and use someone else's summary music identification value (e.g. a celebrity, artist, friend, etc.) and use it with the system.

A customer for music distributed over the internet may select a composition from a menu of written identifiers (such as the song title and singer or group) and then confirm that the composition is indeed the one desired by listening to a corrupted version of the composition. If the customer has forgotten the song title or the singer or other words that provide the identifier, he or she may hum or otherwise vocalize a few bars of the desired composition, or pick the desired composition out on a simulated keyboard. A music-recognition system then locates candidates for the selected composition and displays identifiers for these candidates to the customer.

A system and method of identifying an audio track uses music identification software that produces a fingerprint or audio profile for an audio segment recorded with a portable communication device. The audio profile is transmitted from the portable communication device to a remote service provider over a communication network. The remote server receives the transmitted audio track profile and compares the profile to a stored database of audio tracks. If a matching audio track is identified by the remote server, metadata relating to the identified audio track is transmitted from the remote server to the portable communication device. The received audio track metadata is then displayed on the portable communication device.

The personalized content system of the system combines a summary music identification value creation and identification algorithm that represents a mathematical summary music identification of a song, an audio file, or other relational music criteria and data (e.g title, artist, genre, style, beats per minute, etc.) or any combination thereof. The derived value represents the musical taste or style attributes of a song or style. The user can control the system by issuing one of a plurality of commands comprising artist command, song/title command, genre command, and album/filtered list command. These commands then lead to command trees that may be used in a voice controlled system, for example.

The invention discloses a music identifying method and system. The method comprises steps of acquiring a to-be-identified music clip, extracting a mel-frequency cepstrum coefficient of each frame of the to-be-identified music clip, a mel-frequency cepstrum coefficient first difference, a linear prediction cepstrum coefficient and a sensing linear prediction coefficient, forming an audio feature vector according to the above coefficients of the audio, combing feature vectors of each frame audio to achieve a feature matrix of the to-be-identified music clip, comparing the feature matrix of the to-be-identified music clip and a feature matrix of a sampling music in a music library to achieve a maximum-similarity feature matrix, acquiring music information of a maximum sampling music feature matrix, and outputting the music information. The maximum-similarity feature matrix belongs to a sampling music having the maximum similarity to the to-be-identified music. The music identifying method and system have great noise resisting property and great identifying efficiency and ideal identifying effect.

A music recognition method and system for retrieving metadata based on content associated with a media file. The system includes a music recognition plug-in module associated with a music management unit that communicates with a centralized music repository. The unknown media file may be scanned for collecting a snippet and sent to the music repository in response to a user request for identifying metadata associated with the unknown media file. The music management unit responds to the user with a matching set of standardized metadata, one or more potentially matching sets of data, or an indication that no match is made. The unidentified media file can be made available to the user via a Web interface associated with a socialized music server in order to populate the repository with the standardized metadata. A rating indicative of the user response to identify the metadata associated with the unknown media file can be provided in order to attract the user to contribute for the unknown media file identification.

The invention relates to a method and device for playing music based on picture content. The method includes the steps that a target picture in a picture library and picture identification of the target picture are acquired; the image characteristics of the target picture are extracted; a scene label corresponding to the image characteristics of the target picture is judged through a pre-generated scene judgment model; scene music identification corresponding to the scene label is determined; the corresponding relationship between the picture identification and the scene music identification is established; when a command for opening the target picture corresponding to the picture identification is received, a music file corresponding to the scene music identification is played. According to the scheme, proper music can be played according to the picture content, the operation complexity of a user is lowered, and time is saved for the user.

The invention discloses a method for processing music fragment to obtain song information by using a mobile phone and the mobile phone thereof. The method sequentially comprises the following steps of (1) obtaining music fragments; (2) processing the music fragments and inquiring relevant information; and (3) outputting the inquiry result. The mobile phone comprises a music identifier arranged ona main board of the mobile phone, wherein the music identifier is connected with both a micro-processing controller and a memory. In the invention, a user inquires the information relevant to the music only according to the music fragments and is not required to set the conformity between the music beat and note information of the fragments and the music beat and note information in a database tocontrol the searched hit rate and searching precision, thereby being convenient for users to operate and improving the working efficiency without repeated operation.

A music recognition method based on harmonic features and a motion generation method for a mobile robot. The music recognition method preferably includes: extracting harmonic peaks from an audio signal of an input song; computing a harmonic feature related to the average of distances between extracted harmonic peaks; and recognizing the input song by harmonic component analysis based on the computed harmonic feature. The motion generation method for a mobile robot includes: extracting a musical feature from an audio signal of an input song; generating an initial musical score after identifying the input song on the basis of the extracted musical feature; generating a final musical score by synchronizing the initial musical score and musical feature together; and generating robot motions or a motion script file by matching a motion pattern of the mobile robot with the final musical score.

The invention comprises e-circuits built from basic modules of e-cells which are capable of: recognizing a previously memorized percept anywhere within an arbitrarily large input field without incurring delay related to size of the search space; isolating a previously memorized percept within the input field when in the adjacent presence of other percepts and closely related distractors; locating and recognizing all occurrences of a repeated subfield within the input field, even in the presence of closely related distractors; and performing sequential shift attention between a number of different percepts in the input field. The invention is applicable to various recognition tasks including those in sensory domains such as speech and music recognition, vision, olefaction, and touch. The invention also comprises a method to apply these e-circuits specifically to the task of learning and recognizing subjects in images in any two dimensional signal space under translation, and if necessary, scaling, rotation and other transforms.

According to one embodiment, a sound quality correction apparatus calculates various feature parameters for identifying the speech signal and the music signal from an input audio signal and, based on the various feature parameters thus calculated, also calculates a speech/music identification score indicating to which of the speech signal and the music signal the input audio signal is close to. Then, based on this speech/music identification score, the correction strength of each of plural sound quality correctors is controlled to execute different types of the sound quality correction processes on the input audio signal.

The present invention relates to the field of automation, and discloses a music recognition method, a note recognition model establishing method, a device and electronic equipment, wherein the technical problem in the prior art that the music recognition needs to rely on specific hardware devices can be solved. The method comprises the steps of after acquiring first audio data corresponding to music, matching and recognizing the first audio data based on M note segments and a note model contained in the first audio data. The note model contains the corresponding relationship between at least one group of note fragments and the feature information. Therefore, no hardware modification is required while the related information in the first audio data can be recognized. As a result, the technical effect of improving the compatibility of the music recognition is realized.

The invention provides a music data processing method specific to humanoid robot. The method comprises the following steps of receiving multimoding data input by a user and analyzing the multimoding data, obtaining music segment information of a chapter to be performed; performing music identification on music segment information, and confirming the chapter that the music belongs to; extracting music characteristic parameter according to the identified chapter, and integrating with the music characteristic parameter to train and generate an action output model corresponding to the chapter; performing multimoding output by combining with the action output model. Through practicing the invention, a robot can actively and automatically find out the matched music and dance along with the music according to simple singing of human beings by voice, thus realizing the dancing action output of any song.

Various systems and methods for music recognition are disclosed herein. For example, music recognition devices are disclosed that include a data receiver that is operable to receive a data signal incorporating an identification of a currently playing song. The devices further include a memory and a processor. The memory includes instructions executable by the processor to: parse the data signal and to cause the identification to be stored to the memory. At least a portion of the identification is maintained in the memory after the currently playing song has terminated.

The invention discloses a method and device for obtaining music contents of a vehicle station. The device comprises a main control module and a cloud server. The method comprises the steps that: when detecting a music collection instruction, the main control module obtains information of a played station at the initiation time according to the initiation time of the music collection instruction, and then, uploads the obtained station information to the cloud server; and the cloud server obtains the currently played audio content of the station at the initiation time according to the station information transmitted from a vehicle terminal, then, performs music identification of the obtained audio content, identifies music information corresponding to the audio content, and then, returns the identified music information. By means of the method and the device disclosed by the invention, the uploaded data flow can be reduced; the data processing rate and the accuracy rate can be increased; and the device has a music file storage scheme. The method and device for obtaining the music contents of the vehicle station disclosed by the invention can be widely used in the field of vehicular systems.

The invention discloses a listening sound spectrograph which comprises a musical sound acquiring device, a memory, a feature extraction device, a musical score generating device, a musical score displaying device, a musical score optimizing device and a musical score playing device. The output end of the musical sound acquiring device is connected with the input interface of the memory. The feature extraction device is bi-directionally communicatively connected to the memory. The musical score generating device bi-directionally communicates with the memory. The musical score optimizing device bi-directionally communicates with the memory. The input end of the musical score displaying device is connected to the output interface of the memory. The input end of the musical score displaying device is connected with the output interface of the memory. The listening sound spectrograph realizes automatic music identification, recording, and proofreading on a mobile terminal, helps to learn a basic music theory, the promotion and popularization of music art.

The embodiment of the invention discloses a music identifying method, system and device. The method includes the following steps: a client extracts audio information used for music identification from acquired audio data; the client uploads the audio information used for music identification to a data analysis server; the data analysis server matches the audio information used for music identification with a characteristic database of known music so that a matching similarity is obtained; and when the matching similarity does not meet a music identification success condition, the client continues to upload the audio information used for music identification to the data analysis server and when the matching similarity meets a music identification success condition, the client stops temporarily uploading the audio information used for music identification to the data analysis server. The music identifying method, system and device are capable of keeping balance between ensuring of an identification success rate and saving of data transmission resources.

The invention discloses a music recognition method and device of a car radio. The method comprises the following steps: when the car radio is triggered to enter a music recognition mode, acquiring a music clip output by the car radio and extracting fingerprint features of the music clip; sending the fingerprint features to a server to carry out recognition and receiving a recognition result returned by the server; and displaying the recognition result. According to the music recognition method and device, a car-mounted terminal apparatus can automatically complete music recognition and display the recognition result according to a triggering instruction, and the driver does not need to use other apparatuses such as mobile phones and the like, so that the non-safe driving behaviors of the driver are not increased and the safety and convenience are both considered.

The invention discloses a segmentation method of news program, which comprises the following steps of: acquiring the audio and video data, selecting new clips about a moderator, an interviewer and program music, training a global background model according to clips data, respectively self-adapting the speech/music clips on the global background model, computing a mapping vector as a space vector to obtain a self-adaptive model, segmenting the news program according to the end point detection, adjusting a threshold value, performing the speech/music recognition one segment by one segment according to the self-adaptive model, labeling the identity of a producer of each segment of speech/music; meanwhile, preserving the confidence grade information, extracting a video key frame from the news program clips with the confidence grade less than a predetermined value, verifying a labeling result, and combining the news program clips which are adjacent to each other and have the same producer of speech/music. By adopting the technical scheme, the automation of the segmentation of the news program is greatly increased, and the accuracy of the segmentation of the news program is guaranteed.

The invention discloses an audio frequency feature library establishing method and device. The audio frequency feature library establishing method comprises the steps of estimating the noise feature of a recording and playing system; according to the estimated noise feature of the recording and playing system, carrying out imnoise processing on audio frequencies in an audio frequency library; extracting features of the audio frequencies which are subjected to imnoise processing; and an audio frequency feature library is established through the extracted features. According to the technical scheme of the audio frequency feature library provided by the embodiment of the invention, comparing with the training method of a traditional CMI (Contend-based Music Identification) system, the imnoise processing is added in the training phase, the audio frequency feature library which is obtained through the imnoise processing is used to relieve the mismatch phenomenon of training signals and test signals, and the accuracy of an audio frequency identification system can be effectively improved.

A music sharing method and system is disclosed, for quickly searching for a specific song and related information through the music recognition technology, and applying the cloud push technology to share the uploaded specific song and related information to a specific member of the group member sharing platform. Furthermore, the invention enables a user to share the uploaded specific songs and related information to specific members of the group member sharing platform within the preset range. Moreover, the invention can recommend songs according to the requirements of the user through the cloud push technology. Moreover, the invention can provide product information suitable for the user through the cloud push technology. Moreover, the invention can understand the ranking of all songs through the cloud push technology, and know that the preferences of the user and all members in sharing certain categories of songs.