SYSTEMS AND METHODS FOR IDENTIFYING DYNAMIC TYPES IN VOICE QUERIES

    公开(公告)号:US20220058213A1

    公开(公告)日:2022-02-24

    申请号:US17520142

    申请日:2021-11-05

    Abstract: The system receives a voice query at an audio interface and converts the voice query to text. The system identifies entities included in the query based on comparison to an information graph, as well as dynamic types based on the structure and format of the query. The system can determine dynamic types by analyzing parts of speech, articles, parts of speech combinations, parts of speech order, influential features, and comparisons of these aspects to references. The system combines tags associated with the identified entities and tags associated with the dynamic types to generate query interpretations. The system compares the interpretations to reference templates, and selects among the query interpretations using predetermined criteria. A search query is generated based on the selected interpretation. The system retrieves content or associated identifiers, updates metadata, updates reference information, or a combination thereof. Accordingly, the system responds to queries that include non-static types.

    SYSTEMS AND METHODS FOR DETERMINING TRAITS BASED ON VOICE ANALYSIS

    公开(公告)号:US20210398541A1

    公开(公告)日:2021-12-23

    申请号:US16908132

    申请日:2020-06-22

    Abstract: Systems and methods are provided herein for determining one or more traits of a speaker based on voice analysis to present content item to the speaker. In one example, the method receives a voice query and determines whether the voice query matches within a first confidence threshold of a speaker identification (ID) among a plurality of speaker IDs stored in a speaker profile. In response to determining that the voice query matches to the speaker ID within the first confidence threshold, the method bypasses a trait prediction engine and retrieves a trait among the plurality of traits in the speaker profile associated with the matched speaker ID. The method further provides a content item based on the retrieved trait.

    Systems and methods for identifying dynamic types in voice queries

    公开(公告)号:US11200264B2

    公开(公告)日:2021-12-14

    申请号:US16518840

    申请日:2019-07-22

    Abstract: The system receives a voice query at an audio interface and converts the voice query to text. The system identifies entities included in the query based on comparison to an information graph, as well as dynamic types based on the structure and format of the query. The system can determine dynamic types by analyzing parts of speech, articles, parts of speech combinations, parts of speech order, influential features, and comparisons of these aspects to references. The system combines tags associated with the identified entities and tags associated with the dynamic types to generate query interpretations. The system compares the interpretations to reference templates, and selects among the query interpretations using predetermined criteria. A search query is generated based on the selected interpretation. The system retrieves content or associated identifiers, updates metadata, updates reference information, or a combination thereof. Accordingly, the system responds to queries that include non-static types.

    SYSTEMS AND METHODS FOR AVOIDING INADVERTENTLY TRIGGERING A VOICE ASSISTANT

    公开(公告)号:US20210343279A1

    公开(公告)日:2021-11-04

    申请号:US16861643

    申请日:2020-04-29

    Abstract: Systems and methods are provided herein for avoiding inadvertently trigging a voice assistant with audio played through a speaker. An audio signal is captured by sampling a microphone of the voice assistant at a sampling frequency that is higher than an expected finite sampling frequency of previously recorded audio played through the speaker to generate a voice data sample. A quality metric of the generated voice data sample is calculated by determining whether the generated voice data sample comprises artifacts resulting from previous compression or approximation by the expected finite sampling frequency. Based on the calculated quality metric, it is determined whether the captured audio signal is previously recorded audio played through the speaker. Responsive to the determination that the captured audio signal is previously recorded audio played through the speaker, the voice assistant refrains from being activated.

    ENHANCING SIGNATURE WORD DETECTION IN VOICE ASSISTANTS

    公开(公告)号:US20210327420A1

    公开(公告)日:2021-10-21

    申请号:US16853326

    申请日:2020-04-20

    Abstract: Systems and methods detecting a spoken sentence in a speech recognition system are disclosed herein. Speech data is buffered based on an audio signal captured at a computing device operating in an active mode. The speech data is buffered irrespective of whether the speech data comprises a signature word. The buffered speech data is processed to detect a presence of the sentence comprising at least one command and a query for the computing device. Processing the buffered speech data includes detecting the signature word in the buffered speech data, and in response to detecting the signature word in the speech data, initiating detection of the sentence in the buffered speech data.

    ENHANCING SIGNATURE WORD DETECTION IN VOICE ASSISTANTS

    公开(公告)号:US20210327419A1

    公开(公告)日:2021-10-21

    申请号:US16853322

    申请日:2020-04-20

    Abstract: Systems and methods for speech recognition processing are disclosed herein. A user event indicative of a user intention to interact with a speech recognition device is detected. In response to detecting the user event, an active mode of the speech recognition device is enabled to record speech data based on an audio signal captured at the speech recognition device irrespective of whether the speech data comprises a signature word. While the active mode is enabled, a recording of the speech data is generated and the signature word is detected in a portion of the speech data other than a beginning portion of the speech data. In response to detecting the signature word, the recording of the speech data is processed to recognize a user-uttered phrase.

    SYSTEMS AND METHODS FOR INTERPRETING NATURAL LANGUAGE SEARCH QUERIES USING TRAINING DATA

    公开(公告)号:US20210280175A1

    公开(公告)日:2021-09-09

    申请号:US16807419

    申请日:2020-03-03

    Abstract: A frequency of occurrence for each term in a training data set is determined in relation to the entire training data set. A relational data structure is generated that associates each term in the training data with its respective frequency. Any term that has a frequency below a threshold frequency is then added to a list of relevant words. When a natural language search query is received, a plurality of terms in the natural language search query are identified and compared with the list of relevant words. If any term of the natural language search query is included in the relevant words list, that term is identified as a keyword. The natural language search query is then interpreted based on any identified keywords.

    METHODS FOR NATURAL LANGUAGE MODEL TRAINING IN NATURAL LANGUAGE UNDERSTANDING (NLU) SYSTEMS

    公开(公告)号:US20210272554A1

    公开(公告)日:2021-09-02

    申请号:US16805342

    申请日:2020-02-28

    Abstract: Systems and methods for determining to perform an action of a query using a trained natural language model of a natural language understanding (NLU) system are disclosed herein. A text string corresponding to a prescribed action includes at least a content entity is received. A determination is made as to whether the text string corresponds to an audio input of a first group. In response to determining the text string corresponds to an audio input of a first group, a determination is made as to whether the text string includes an obsequious expression. In response to determining the text string corresponds to an audio input of a first group and in response to determining the text string includes an obsequious expression, a determination is made to perform the prescribed action. In response to determining the text string corresponds to an audio input of a first group and in response to determining the text string does not include the obsequious expression, a determination is made to not perform the prescribed action.

Patent Agency Ranking