Patent classifications
G06F16/63
Concurrent transmission and playback of audio information
In a network comprising a plurality of synchrony groups, including at least a first synchrony group and a second synchrony group, wherein a first zone player is a member of the first synchrony group and a second zone player is a member of the second synchrony group, a method comprising: transmitting, by the first zone player while the first zone player is playing a first audio information, a second audio information to the second zone player, wherein the second audio information is different from the first audio information; and playing, by the second synchrony group, the second audio information while the first synchrony group is playing the first audio information.
BOOK SEARCH INTERFACE APPARATUS, BOOK SEARCH METHOD, AND PROGRAM
Provided is a technique for effectively searching for a book for an articulation disordered-child to use in practice. A search condition setting unit 120 sets a search condition for a speech sound in accordance with a selection state of kana symbol buttons disposed in a book search screen, the kana symbol buttons corresponding one-to-one to kana symbols indicating respective speech sounds. A search unit 130 searches for a book in which a desired speech sound appears, in accordance with the search condition. A book search screen includes at least one of a Japanese syllabary button group in which the kana symbol buttons are classified as vowels or consonants, and an articulation button group in which the kana symbol buttons are classified by articulatory organ and articulation manner.
Feature vector profile generation for interviews
Aspects of the present disclosure concern cognitive interview management. Audio data from an interviewer in an interview is received. The audio data is processed by converting the audio data into structured text. The structured text is then analyzed to identify questions in the structured text. The structured text data is also analyzed to determine at least one tonal dimension, at least one class dimension, and at least one difficulty dimension of the structured text. A feature vector is then generated having the determined dimensions. A reference feature vector is received having at least one reference tonal dimension, at least one reference class dimension, and at least one reference difficulty dimension. The generated feature vector and reference feature vector are then compared. A determination is made whether the comparison satisfies a match threshold, and in response to the comparison satisfying the match threshold, the interviewer is selected for a panel.
METHODS FOR THREE-DIMENSIONAL SEARCHING TO PRECISELY TARGET RETRIEVAL WITHIN DIVERSE TYPES OF CONTENT AND DEVICES THEREOF
Methods, non-transitory computer readable media, and computing devices for three-dimensional searching that precisely targets retrieval within diverse types of content includes retrieving web content in response to a received request from a client device. A destination page, an address within the page, and an offset distance from a starting point at the address to a correlated responsive portion of the web content to the received request is identified. The responsive web content with the identified destination page, the address, and the offset distance is provided to the requesting client device.
METHODS FOR THREE-DIMENSIONAL SEARCHING TO PRECISELY TARGET RETRIEVAL WITHIN DIVERSE TYPES OF CONTENT AND DEVICES THEREOF
Methods, non-transitory computer readable media, and computing devices for three-dimensional searching that precisely targets retrieval within diverse types of content includes retrieving web content in response to a received request from a client device. A destination page, an address within the page, and an offset distance from a starting point at the address to a correlated responsive portion of the web content to the received request is identified. The responsive web content with the identified destination page, the address, and the offset distance is provided to the requesting client device.
MATCHING AUDIO FINGERPRINTS
Methods, apparatus, systems and articles of manufacture are disclosed to select reference sub-fingerprints for comparison to query sub-fingerprints based on a determination that a query sub-fingerprint is a match with a reference sub-fingerprint, generate a count vector that stores total counts of matches between the query sub-fingerprints and different subsets of the reference sub-fingerprints, each of the different subsets being aligned to the query sub-fingerprints at a different offset from a reference point, each of the different offsets being mapped by the count vector to a different total count, calculate a maximum count among the total counts, a median of the total counts, and a difference between the maximum count and the median of the total counts, and classify the reference sub-fingerprints as a match with the query sub-fingerprints based on the difference between the maximum count in the count vector and the median.
MATCHING AUDIO FINGERPRINTS
Methods, apparatus, systems and articles of manufacture are disclosed to select reference sub-fingerprints for comparison to query sub-fingerprints based on a determination that a query sub-fingerprint is a match with a reference sub-fingerprint, generate a count vector that stores total counts of matches between the query sub-fingerprints and different subsets of the reference sub-fingerprints, each of the different subsets being aligned to the query sub-fingerprints at a different offset from a reference point, each of the different offsets being mapped by the count vector to a different total count, calculate a maximum count among the total counts, a median of the total counts, and a difference between the maximum count and the median of the total counts, and classify the reference sub-fingerprints as a match with the query sub-fingerprints based on the difference between the maximum count in the count vector and the median.
Information recording system and information recording method
In an information recording system, a sound processing unit generates a conversion candidate word in a process of converting sound information into text information. A recording unit records the text information and the conversion candidate word on a recording medium such that the text information and the conversion candidate word are associated with each other. A search unit performs a search based on a keyword and extracts a word matching the keyword from words within the text information and the conversion candidate word. A reading unit reads the text information including the word matching the keyword from the recording medium. A display unit displays the text information such that a part corresponding to the word matching the keyword and a part other than the corresponding part are able to be distinguished.
Information recording system and information recording method
In an information recording system, a sound processing unit generates a conversion candidate word in a process of converting sound information into text information. A recording unit records the text information and the conversion candidate word on a recording medium such that the text information and the conversion candidate word are associated with each other. A search unit performs a search based on a keyword and extracts a word matching the keyword from words within the text information and the conversion candidate word. A reading unit reads the text information including the word matching the keyword from the recording medium. A display unit displays the text information such that a part corresponding to the word matching the keyword and a part other than the corresponding part are able to be distinguished.
Synchronizing operations among a plurality of independently clocked digital data processing devices
Example systems, apparatus, and methods receive audio information including a plurality of frames from a source device, wherein each frame of the plurality of frames includes one or more audio samples and a time stamp indicating when to play the one or more audio samples of the respective frame. In an example, the time stamp is updated for each of the plurality of frames using a time differential value determined between clock information received from the source device and clock information associated with the device. The updated time stamp is stored for each of the plurality of frames, and the audio information is output based on the plurality of frames and associated updated time stamps. A number of samples per frame to be output is adjusted based on a comparison between the updated time stamp for the frame and a predicted time value for play back of the frame.