339results about "Audio data querying" patented technology

A person can use a portable electronic device to electronically purchase or otherwise request a product, service or other deliverable related to audio programming to which the person is listening at the time they initiate the request. The request is fulfilled by a service that analyzes the audio content to identify the deliverable the person desires.

The invention discloses an audio processing method and device based on artificial intelligence. One concrete implement mode of the method includes the steps that an audio file to be processed is converted into an image to be processed; the content feature of the image to be processed is extracted; according to the style feature and the content feature of the image to be processed, a target image is determined, and the style feature is obtained from a template image converted from a template audio file; the target image is converted into the processed audio file. By means of the implement mode, the processed audio file has the template audio style without changing the content of the audio file to be processed, and audio processing efficiency and flexibility are improved.

An information processing method of an information processing system including a client device functioning as a client and a server device functioning as a server which are capable of communication via a network, includes the steps of: at the server device, managing format identification information provided so as to be unique for each content data within the range of each data format, corresponding to the contents of each content; at the client device, causing execution of communication via network, for specifying a content, as to the server device; at the server device, transmitting, to the client device, format identification information correlated with a specified content in response to specification of a content via network from the client device; and at the client device, managing the received and obtained format identification information as corresponding to the specified content.

Organizing and publishing content in a content management system wherein content, including text, images and video, is received and segmented into content atoms. One or more tags are associated with the content atoms to allow device specific presentation of the content atoms.

An excerpt of a media object is extracted by computing, for each bar of an N-bar loop, one or more perceptual quality vectors. For each of the one or more perceptual quality vectors within a search zone (S), one or more distances between bar i and bar i+N is computed and sorted to generate a sorted list of bars.

Methods, systems, and computer program products that automatically categorize and/or assign ratings to content (video and audio content) uploaded by individuals who want to broadcast the content to others via a communications network, such as an IPTV network, are provided. When an individual uploads content to a network, a network service automatically extracts an audio stream from the uploaded content. Words in the extracted audio stream are identified. For each identified word, a preexisting library of selected words is queried to determine if a match exists between words in the library and words in the extracted audio stream. The selected words in the library are associated with a particular content category or content rating. If a match exists between an identified word and a word in the library, the uploaded content is assigned a content category and/or rating associated with the matched word.

A first interface for reading a medical patient image record is provided. Furthermore, provision is made of an encoding module for machine-based learning of data encodings of image patterns by an unsupervised deep learning and for establishing a deep-learning-reduced data encoding of a patient image pattern contained in the patient image record. Furthermore, provision is made of a comparison module for comparing the established data encoding with reference encodings of reference image patterns stored in a database and for selecting a reference image pattern with a reference encoding which is similar to the established data encoding. An assignment module serves to establish a key term assigned to the selected reference image pattern and to assign the established key term to the patient image pattern. A second interface is provided for outputting the established key term with assignment to the patient image pattern.

According to one embodiment, audio and non-audio data can be represented as sound sources in a three-dimensional sound space adapted to also provide visual data. Non-audio data can be associated with audio sound sources presented in the sound space. Navigation within this combined three-dimensional audio/visual space can be based primarily on the audio aspects of the sound sources with the details of the non-audio data being presented on demand, for example, when the listener navigates through the combined three-dimensional audio/visual space to a particular sound source at which point the non-audio data associated with that sound source can be presented.

The invention belongs to the field of voice recognition, and particularly relates to a phone-call recording access failure reason recognizing method. The method comprises the following steps: markingaccess failure reasons by signals; if reasons cannot be obtained by signal classification, extracting an audio fingerprint characteristic sequence from to-be-recognized phone-call recording, and searching from an audio fingerprint database by the sequence; if matched fingerprints can be found out, marking the access failure reason for to-be-recognized phone-call according to access failure reasonlabels in fingerprint key values; and if the matched fingerprints cannot be found out, recognizing audio contents into text contents by automatic voice recognition, classifying in an access failure document classifying model by a text classifying method on the basis of the contents, and marking the to-be-recognized phone-call recording by access failure reason classifying results obtained by classification. The method can recognize recording files in an offline manner, streaming phone-call voice can also be recognized, the universality is high, and the phone-call recording access failure reason recognizing method is suitable for different application scenarios of the call center.

The invention relates to the technical field of air conditioners, in particular to an air conditioner system fault detecting method and device, and electronic equipment. The air conditioner system fault detecting method comprises the steps that a plurality of sets of audio data when various types of fault of an air conditioner system occur, and an audio sample set is obtained; characteristic information of all sets of audio in the audio sample set is extracted, and the correlation relationship between the various fault types and the characteristic information of all sets of audio is established; the fault audio data detected in real time are obtained, and the fault audio characteristic information is extracted; and the fault characteristic information and a fault audio database are matched, and the fault type of the air conditioner system is determined according to the correlation relationship. According to the scheme, the fault type, corresponding to the fault audio data, of the air conditioner system can be accurately detected through intelligent decision means.

Systems and methods for dynamically responding to requests for information, derived from one or more data sources, relating to at least one event participant. A notification of a scheduled event is received at a server. The notification identities a plurality of individuals invited to attend or participate in an event. Data attributes relating to the event participants are retrieved from one or more data sources and stored. The data attributes can include personal attributes, professional attributes, and social interaction attributes. Before, during or after an event, requests are received and processed to provide event participants and other interested parties access to contextual information relating event participants to one another, the identities of event participants possessing one or more attributes, and lists of attributes for one or more known event participants. The requests can include images and sound recordings captured during the event.

The invention discloses an audio detection method, an apparatus, a device and a computer-readable storage medium, wherein, the method comprises the following steps of: obtaining a training sample setcomprising a preset amount of training samples and sample tags of each of the training samples, wherein the training sample comprises audio samples corresponding to the sample tags of the spliced audio and the original audio respectively; training a pre-created convolution neural network by using the training sample set to obtain an audio recognition model; the audio sample with unknown sample label is obtained as the sample to be tested, and the sample to be tested is input to the audio recognition model, so as to obtain the recognition result that the sample to be tested output by the audiorecognition model is mosaic audio or original audio. Audio detection base on a convolution neural network is realized in that application, and the audio detection method is not only prove to have highaccuracy by experiments, but also has no special requirements for training samples and sample to be tested, and is good in generalization.

The invention relates to the technical field of audio processing, and discloses a lyrics display processing method and device, an electronic device and a computer-readable storage medium, wherein, thelyrics display processing method comprises the following steps of: obtaining song information and original lyrics information of a track to be played; Then, based on the preset lyrics format, analyzing the original lyrics information to obtain the target lyrics information which accords with the preset lyrics format, wherein The preset lyrics format includes the identification information part and the lyrics body part; Then, when the playback song information is detected, displaying the target lyrics information corresponding to the current playback time synchronously according to the currentplayback time of the song information. The method of the embodiment of the present application enables not only synchronously displaying the corresponding lyrics individually according to the playingprogress of the current song, but also accurately displaying the corresponding color of the lyrics verbatim according to the playing progress of the song, thereby greatly improving the user experience.

The invention discloses a voiceprint retrieval method based on deep Hash by which the effects of low storage space and efficient retrieval in a voiceprint retrieval task are achieved. The method comprises a step of training a deep voiceprint hash model, a step of constructing a hash coding database and a step of retrieving the query voice in the database, and is characterized by firstly constructing an end-to-end deep neural network structure, and training the deep neural network model by utilizing the voice data marked with a speaker identity to obtain a deep voiceprint hash function, and then calculating the Hash codes corresponding to the training set through the deep voiceprint Hash function, and constructing a database; for the newly inputted voice data, using the deep voiceprint hashfunction to calculate a corresponding hash code, and adding the hash code to a database in real time. During the retrieval process, for the given voice, the deep voiceprint hash function is used forcalculating the corresponding hash code, and finally a retrieval result is obtained in the database based on index or Hamming distance sorting.

Methods, systems, and apparatus for determining a maintenance issue are described. An audio signal is obtained and analyzed to generate an audio signature. A characteristic of a component is identified based on the audio signature and an action is determined based on the characteristic of the component.

The invention belongs to the technical field of audio data analysis, and discloses an audio classification method and system based on an SVM. The audio automatic classification and segmentation is animportant means for extracting the structured information and semantic content from audio and is the basis for understanding, analyzing and retrieving the audio content. In essence, classification ofthe audio data is a pattern recognition problem and comprises two basic aspects of feature extraction selection and classification. How to extract the information most capable of representing audio signal characteristics from the audio signals is crucial for audio classification; the audio feature extraction can be based on an audio frame feature analysis and extraction method and an audio-based feature analysis and extraction method; and in a method of extracting these characteristics, characteristics of audio are extracted using time domain characteristics and frequency domain characteristics, respectively. An SVM-based audio classification algorithm has a good classification effect, and the smooth audio segmentation result is more accurate.