Abstract: An acoustic crosstalk suppression device includes a speaker estimation unit configured to estimate a main speaker based on voice signals collected by n units of microphones corresponding to n number of persons (n: an integer equal to or larger than 3); n units of filter update units each of which is configured to update a parameter of a filter configured to generate a suppression signal of a crosstalk component included in a voice signal of the main speaker; and a crosstalk suppression unit configured to suppress the crosstalk component by using a synthesis suppression signal generated by the maximum (n-1) units of filter update units corresponding to reference signals collected by the maximum (n-1) units of microphones.

Abstract: The present disclosure may provide a voice audio data processing system. The voice audio data processing system may obtain voice audio data, which includes one or more voices, each being respectively associated with one of one or more subjects. For one of the one or more voices and the subject associated with the voice, the voice audio processing system may generate a text based on the voice audio data. The text may have one or more sizes, each size corresponding to one of one or more volumes of the voice. The text may have one or more colors, each color corresponding to one of one or more emotion types of the voice.

Abstract: A command analysis device capable of shortening the time until a command is executed is provided. The command analysis device includes a speech recognition unit that performs, every time when a predetermined unit of a speech signal is input, speech recognition on the speech signal and acquires a partial speech recognition result which is an intermediate result, and a command analysis unit that verifies an intermediate result in light of a predetermined intermediate result recognition rule, and outputs an analysis result during the input of the speech signal when a command execution target and a command execution content are successfully analyzed are provided.

Abstract: There is a need for more effective and efficient text categorization. This need can be addressed by, for example, techniques for semantic text categorization. In one example, a method includes determining an input vector-based representation of an input document; processing the input vector-based representation using a trained supervised machine learning model to generate the categorization based at least in part on the input vector-based representation, wherein: (i) the trained supervised machine learning model has been trained using automatically-generated training data, and (ii) the automatically generated training data is generated by determining an inferred semantic label for each unlabeled training document of one or more unlabeled training documents; and performing one or more categorization-based actions based at least in part on the categorization, and (iii) the labels are described by one or more short documents/short texts.

Abstract: Embodiments of this disclosure disclose a sentence processing method and device. The method may include performing word segmentation operation on a source sentence to be encoded to obtain m words. The method may further include obtaining an ith word in the m words using an ith encoding processing node in the n encoding processing nodes, and obtaining an (i?1)th word vector from an (i?1)th encoding processing node. The method may further include performing linear operation and non-linear operation on the ith word and the (i?1)th word vector using the first unit of the ith encoding processing node to obtain an ith operation result, and outputting the ith operation result to the at least one second unit for processing to obtain an ith word vector. The method may further include generating, in response to obtaining m word vectors, a sentence vector according to the m word vectors.

Abstract: Systems, devices, and methods discussed herein provide improved autonomous agent applications that are configured to generate automated answers to a question using summarized logical forms (SLFs). A myriad of techniques may be utilized to generate one or more summarized logical forms for an answer, where the summarized logical form(s) identifies the main entities/informative portions of the answer. Instead of indexing the whole of the answer as in conventional methods, an answer can be indexed using the summarized logical forms. A subsequent query may be converted to logical form to generate a query representation which can be compared to one or more SLFs of a set of answers. If an SLF of an answer matches the query representation, the answer may be provided in response to the question. By indexing the answer with its informative portions, the speed and accuracy of identifying the answer is improved.

Abstract: An apparatus for the generation of a collaboration score is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a plurality of entity profiles from a plurality of entities, wherein each of the plurality of entity profiles includes entity data. The memory instructs the processor to identify a plurality of opportunity data as a function of the plurality of entity profiles. The memory instructs the processor to generate collaboration data as a function of the plurality of opportunity data. The memory instructs the processor to determine a collaboration score as a function of the collaboration data. The memory instructs the processor to draft a collaboration report as a function of the collaboration score and the collaboration data. The memory instructs the processor to display the collaboration report using a display device.

Abstract: In an embodiment of a messaging system, a method for presenting a commercial message to a user is provided. A target language in which the user is comfortable communicating may be determined based on at least one communication received by the user or at least one communication provided by the user. The commercial message may be presented to the user in the target language.

Abstract: A coding method and a decoding method are provided which can use in combination a predictive coding and decoding method which is a coding and decoding method that can accurately express coefficients which are convertible into linear prediction coefficients with a small code amount and a coding and decoding method that can obtain correctly, by decoding, coefficients which are convertible into linear prediction coefficients of the present frame if a linear prediction coefficient code of the present frame is correctly input to a decoding device.

Abstract: A recognition method and device of named entity, a creation method of dictionary of named entity, an electronic device, and a computer-readable medium. The method includes: obtaining target text; determining to-be-classified word and part-of-speech classification thereof in the target text according to CRF model, the CRF model including semantic function and template function; each template function being configured to provide a score for each character corresponding to each part-of-speech classification in the target text; the semantic function being configured to match at least part of word in the target text with a sememe in sememe library, and give a score of part-of-speech classification corresponding to a type attribute of the sememe in the sememe library for each character of the word when the word has a matched sememe; and determining the named entity in the target text according to the part-of-speech classification of the to-be-classified word.

Abstract: A system for informing cooking style decisions, the system including a computing device designed and configured to receive a personal recipe relating to a user. The computing device also designed and configured to select a cooking style, including locating in a recipe database a set of cooking styles associated with the personal recipe and selecting the cooking style from the set of cooking styles as a function of the user's biological extraction. Additionally, the computing device is designed and configured to incorporate the cooking style into the personal recipe of the user.

Abstract: A computing system receives an instruction to initiate audio presentation of electronic communications for a recipient, and outputs an audio presentation responsive to the instruction. The audio presentation includes an initial portion that includes a presentation road map, and a subsequent portion that includes audible output of text content of a plurality of unreviewed electronic communications for the recipient. The presentation road map identifies an estimated duration of time to present the subsequent portion of the audio presentation.

Abstract: Systems and methods of monitoring radio channels and automatically providing selective notifications through a network that messages containing useful information, transmitted in the form of voice content, have been received. Keywords are compared with textual data transcribed from voice messages receive on a radio channel. The textual data and the keywords are compared, and upon identifying a correlation therebetween, a notification is automatically generated that indicates receipt of a given message, the existence of the correlation with the keywords, and an identity of the channel, so that client terminals can receive the message and also receive subsequent or related messages.

Abstract: Systems and methods for determining that artificial commands, in excess of a threshold value, are detected by multiple voice activated electronic devices is described herein. In some embodiments, numerous voice activated electronic devices may send audio data representing a phrase to a backend system at a substantially same time. Text data representing the phrase, and counts for instances of that text data, may be generated. If the number of counts exceeds a predefined threshold, the backend system may cause any remaining response generation functionality that particular command that is in excess of the predefined threshold to be stopped, and those devices returned to a sleep state. In some embodiments, a sound profile unique to the phrase that caused the excess of the predefined threshold may be generated such that future instances of the same phrase may be recognized prior to text data being generated, conserving the backend system's resources.

Abstract: An emergency service request system that allows a user to effectively and/or efficiently provide information regarding an emergency situation to an emergency response center. The system presents a series of prompts to a user based on the user's preferred language, with each prompt having one or more prepopulated responses that are selectable by the user in response to the prompt. The user's responses to the prompts are prepared and formatted into a message that is transmitted to an emergency response center. The message contains the user-provided information regarding the emergency situation and the information is provided in a preferred language of the emergency response center.

Abstract: Implementations relate to generating a proficiency measure, and utilizing the proficiency measure to adapt one or more automated assistant functionalities. The generated proficiency measure is for a particular class of automated assistant actions, and is specific to an assistant device and/or is specific to a particular user. A generated proficiency measure for a class can reflect a degree of proficiency, of a user and/or of an assistant device, for that class. Various automated assistant functionalities can be adapted, for a particular class, responsive to determining the proficiency measure satisfies a threshold, or fails to satisfy the threshold (or an alternate threshold). The adaptation(s) can make automated assistant processing more efficient and/or improve (e.g., shorten the duration of) user-assistant interaction(s).

Abstract: Systems and methods directed to formulating and suggesting a subject line based on content of an email message are provided. More specifically, content corresponding to one or more portions of an email may be received, where the content may be utilized to determine one or more email topics and at least one intent of the email. An intent of the email may correspond to whether an action is to be performed, whether a question is presented, whether a request for time is present, and/or any other request on the part of the recipient or the sender. Based on the intent of the email and the one or more topics, a subject line suggestion may be formulated and presented to a user.

Abstract: Implementations can receive, at a computing device, audio data corresponding to a spoken utterance of a user, process the audio data to generate, for one or more parts of the spoken utterance, a plurality of speech hypotheses, select a given one of the speech hypotheses, cause the given one of the speech hypotheses to be incorporated as a portion of a transcription associated with the software application, and store the plurality of speech hypotheses. In some implementations, the plurality of speech hypotheses can be loaded at an additional computing device when the transcription is accessed at the additional computing device. In additional or alternative implementations, the plurality of speech hypotheses can be loaded into memory of the computing device when the software application is reactivated and/or when a subsequent dialog session associated with the transcription is initiated.

Abstract: A calculation process is efficiently performed to a text file in which one or more records are included, each of the records includes one or more cells having an arbitrary length, and each of the cells includes arbitrary pieces of characters. A parameter setting apparatus sets a maximum value Scsv and a minimum value scsv of a size of character strings for one record by using attribute information as an input, a maximum value Senc of a total size of encode information, a maximum value Sss of a total size of a calculation value obtained by performing specific calculation to the encode information, and a total size Sref of reference information, obtains a function value of C/(Scsv+Senc+Sref) as the number of records which is a process unit of encoding and calculation, and obtains a function value of f0/I·r·Scsv as the number of parallels in the calculation process. Here, C is a cache memory size, M is a main memory size, and f0 is a function value of scsv·M/(scsv+Senc+max(Sref,Sss)).

Abstract: Systems, methods, and computer-readable media are disclosed for dynamic voice search transitioning. Example methods may include receiving, by a computer system in communication with a display, a first incoming voice data indication, initiating a first user interface theme for presentation at a display, wherein the first user interface theme is a default user interface theme, and receiving first voice data. Example methods may include sending the first voice data to a remote server for processing, receiving an indication from the remote server to initiate a second user interface theme, and initiating the second user interface theme for presentation at the display.