Abstract: Disclosed are an electronic device and a method of controlling an operation of the electronic device. A method comprises receiving first data related to an input comprising a request for performing a task using a second external device and obtained through a microphone and comprising information on a user interface of a first external device from the first external device, identifying a sequence of states of the second external device for executing the task based on at least some of the first data, transmitting first information on the sequence of states of the second external device to the second external device through the network interface, receiving second data indicative of a need for an additional input for completing the task from the second external device through the network interface, and transmitting second information to the first external device based on at least some of the second data.

Abstract: The present invention extends to methods, systems, for diagnosing coronary artery disease (CAD) in patients by using their voice signal comprising receiving voice signal data indicative of speech from the patient.

Abstract: An electronic device includes a microphone that receives an audio signal that includes a spoken trigger phrase, and a processor that is electrically coupled to the microphone. The processor measures characteristics of the audio signal, and determines, based on the measured characteristics, whether the spoken trigger phrase is acceptable for trigger phrase model training. If the spoken trigger phrase is determined not to be acceptable for trigger phrase model training, the processor rejects the trigger phrase for trigger phrase model training.

Abstract: Method, system and product for automatic performance of user interaction operations on a computing device. A method comprising: obtaining an identifier of an operations sequence; obtaining the operations sequence by searching a repository of operations sequences using the identifier, wherein the repository of operation sequences comprises operations sequences defined based on a previous execution of one or more operations by another computing device other than the computing device on behalf of another user other than the user; and automatically executing the operations sequence or portion thereof on the computing device. Another method comprises: identifying elements in a layout of a GUI, displaying in visible proximity to each of the elements an assigned unique label; recognizing speech by a user vocally indicating a selected element by referring to the assigned label; and, automatically performing a user interaction operation on the selected element.

Abstract: A voice recognition apparatus includes: a first controller configured to acquire a voice signal of a user and acquire a phonebook list including at least one phonebook data piece in which a name and a phone number are matched from a user terminal; and a voice recognition engine to recognize the voice signal based on a voice recognition parameter, wherein the first controller is further configured to determine whether to change the voice recognition parameter value based on the phonebook list and change the voice recognition parameter value based on a determination result.

Abstract: An improved gain-shape vector quantization is achieved by determining a number of bits to be allocated to a gain adjustment- and shape-quantizer for a plurality of combinations of a current bit rate and a first signal property. The bit allocation is derived by using an average of optimal bit allocations for a training data set. A number of bits to the gain adjustment and the shape quantizers for a plurality of combinations of the bit rate and a first signal are pre-calculated, and a table indicating the number of bits to be allocated to the gain adjustment- and the shape-quantizers for a plurality of combinations of the bit rate and a first signal property is created. In this way, the table can be used for achieving an improved bit allocation.

Abstract: Methods and apparatuses are described for automated execution of computer software based upon determined empathy of a communication participant. A server captures a digitized voice segment from a remote computing device. The server analyzes vocal cues of the digitized voice segment to generate a voice empathy score. The server converts speech in the digitized voice segment into text and determines empathy keywords in the text to generate a keyword empathy score. The server captures digitized images of the participant's face and analyzes physical expressions of the face to identify emotions and generate a facial empathy score. The server generates an overall empathy confidence score for the communication participant based upon the voice empathy score, the keyword empathy score, and the facial empathy score. The server generates recommended changes for the user based upon the overall empathy confidence score and executes a software application that displays the recommended changes.

Abstract: A method, computer system, and a computer program product for selectively blacklisting audio commands is provided. The present invention may include observing an audible command received by an IoT (Internet of Things) enabled device, wherein the observed audible command appears in a blacklist database. The present invention may also include blacklisting the observed audible command.

Abstract: Disclosed herein are system, method, and computer program product embodiments for a text-to-speech system. An embodiment operates by identifying a document including text, wherein the text includes both a structured portion of text, and an unstructured portion of text. Both the structured portion and unstructured portions of the text are identified within the document rich data, wherein the structured portion corresponds to a rich data portion that includes both a descriptor and content, and wherein an unstructured portion of the text includes alphanumeric text. A summary of the content of the rich data portion of the document at a specified level of detail is generated at a specified level of detail. An audible version of the document including both the text-only portion of the document and the summary of the content of the rich data portion of the document is output.

Abstract: Recording audio information from a meeting includes determining which audio input audio device (smartphones) correspond to which meeting participant, measuring volume levels in response to each of the meeting participants speaking, identifying one of the participants is speaking based on stored voice profiles and/or relative volume levels at each of the smartphones, recording on a first channel audio input at a first smartphone corresponding to the speaker, identifying another one of the participants is speaking based on stored voice profiles and/or relative volume levels at each of the smartphones, recording on a second channel, separate from the first channel, audio input at a second smartphone corresponding to the other speaker, and merging the first and second channels to provide a storyboard that includes audio input from the channels and identification of speakers based on which specific ones of the channels contains the audio input.

Abstract: A method of detecting a replay attack comprises: receiving an audio signal representing speech; identifying speech content present in at least a portion of the audio signal; obtaining information about a frequency spectrum of each portion of the audio signal for which speech content is identified; and, for each portion of the audio signal for which speech content is identified: retrieving information about an expected frequency spectrum of the audio signal; comparing the frequency spectrum of portions of the audio signal for which speech content is identified with the respective expected frequency spectrum; and determining that the audio signal may result from a replay attack if a measure of a difference between the frequency spectrum of the portions of the audio signal for which speech content is identified and the respective expected frequency spectrum exceeds a threshold level.

Abstract: Utilizing a computing device to share a social media post with automatically generated dynamic text in a social media service in real time. A computing device receives a social media post from a social media user computer. The computing device monitors social media activities of a social media user computer. The computing device accesses one or more social media activities of social media follower computers. The computing device compares social media activities of the social media user computer with the one or more social media activities of social media follower computers. The computing device aligns the received social media post to a preference model. The computing device generates dynamic text in real time to accompany the received social media post. The computing device outputs the generated dynamic text to the social media user computer to accompany the received social media post.

Abstract: Embodiments of this disclosure disclose a method and apparatus for providing a voice service. An embodiment of the method comprises: analyzing, in response to receiving first voice request information sent by an intelligent voice device containing a display, the first voice request information to determine a user demand; determining an alternative operation associated with the user demand based on a configured optional operation set; generating prompt information for guiding a user to execute the alternative operation; and pushing the prompt information to the intelligent voice device containing the display to enable the intelligent voice device to show the prompt information on the display. The embodiment realizes a user demand based differential operation prompt, and improves the efficiency of the voice service.

Abstract: Aspects of the subject matter described herein relate to language translation. In aspects, a reference to a language translation component is embedded or otherwise inserted into a Web page. When the Web page is rendered, code corresponding to the language translation component may be downloaded and executed. Once executed, the translation component may access other content in the Web page and allow a user to request translation of the Web page. Upon receiving an indication that translation is desired, the translation component may send content in the Web page to a translation service and receive translated content. The translation component may then provide this translated content to a user viewing the Web page.

Abstract: A system, a computer program product, and method for controlling synthesized speech output on a voice-controlled device. One or more sensors are used to detect whether one person or more than one person is within a first settable distance from the voice-controlled device. Next a determination is made whether the audio input received is recognized as speech. In response to only one person being detected within the settable distance, begin outputting synthesized speech based on the audio input without waiting for an attention word to be recognized and otherwise wait for additional criteria before outputting synthesized speech based on the speech input. The additional criteria includes determining that more than one person is detected and recognizing that the attention word is received before outputting synthesized speech based on the audio input.

Abstract: Method and apparatus are provided for reconstructing a noise component of a speech/audio signal. A bitstream, is received and decoded to obtain a speech/audio signal. A first speech/audio signal is determined according to the speech/audio signal. A symbol of each sample value in the first speech/audio signal and an amplitude value of each sample value in the first speech/audio signal is determined. An adaptive normalization length and an adjusted amplitude value of each sample value are determined according to the adaptive normalization length and the amplitude value of each sample value. A second speech/audio signal is determined according to the symbol of each sample value and the adjusted amplitude value of each sample value.

Abstract: Processing circuitry of an information processing apparatus obtains a set of identity vectors that are calculated according to voice samples from speakers. The identity vectors are classified into speaker classes respectively corresponding to the speakers. The processing circuitry selects, from the identity vectors, first subsets of interclass neighboring identity vectors respectively corresponding to the identity vectors and second subsets of intraclass neighboring identity vectors respectively corresponding to the identity vectors. The processing circuitry determines an interclass difference based on the first subsets of interclass neighboring identity vectors and the corresponding identity vectors; and determines an intraclass difference based on the second subsets of intraclass neighboring identify vectors and the corresponding identity vectors.

Abstract: A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designating certain voice commands as hotwords. The methods, systems, and apparatus include actions of receiving a hotword followed by a voice command. Additional actions include determining that the voice command satisfies one or more predetermined criteria associated with designating the voice command as a hotword, where a voice command that is designated as a hotword is treated as a voice input regardless of whether the voice command is preceded by another hotword. Further actions include, in response to determining that the voice command satisfies one or more predetermined criteria associated with designating the voice command as a hotword, designating the voice command as a hotword.

Abstract: Among other things, requests are received from voice assistant devices expressed in accordance with different corresponding protocols of one or more voice assistant frameworks. Each of the requests represents a voiced input by a user to the corresponding voice assistant device. The received requests are re-expressed in accordance with a common request protocol. Based on the received requests, responses to the requests are expressed in accordance with a common response protocol. Each of the responses is re-expressed according to a protocol of the framework with respect to which the corresponding request was expressed. The responses are sent to the voice assistant devices for presentation to the users.