A voice assistant system includes a server apparatus performing voice assistant and a plurality of devices, in which the server apparatus and the devices are communicatively connected to each other. The plurality of devices each records the same user's speech through a microphone, and then transmits recorded data of the same user's speech to the server apparatus. The server apparatus receives the recorded data transmitted from each of the plurality of devices, and then voice-recognizes two or more of the received recorded data in accordance with a predetermined standard to thereby interpret the contents of the user's speech to perform the voice assistant.

Apparatuses, methods, and program products are disclosed for spelling words. One apparatus includes a sensor, a processor, and a memory that stores code executable by the processor. The code is executable by the processor to detect, by use of the sensor, an audio input. The audio input includes instructions for spelling a word. The code is executable by the processor to convert the audio input to text. The text includes the word. The code is executable by the processor to spell the word based on a context of the instructions within the text. The instructions include natural language terminology.

Some embodiments provide retail product ordering systems comprising: a user computing device comprising an application executed by a device control circuit to: receive an audible utterance; controls a product identifier application interface to: apply a tokenizer model and obtain a set of individual search words; apply a series of featurizer models to the search words to generate features; and apply a classifier and extractor model based on the features and generate multiple requested product entities each comprising a respective sub-set of the position labeled product terms; wherein the device control circuit is further configured to access a purchase history database, confirm an accuracy of each of requested product entities relative to a purchase history, generate a listing of determined product identifiers corresponding to the confirmed set of the multiple requested product entities, and control a display system of the user computing device to render the listing of determined product identifiers.

Systems and methods for correcting recognition errors in speech recognition systems are disclosed herein. Natural conversational variations are identified to determine whether a query intends to correct a speech recognition error or whether the query is a new command. When the query intends to correct a speech recognition error, the system identifies a location of the error and performs the correction. The corrected query can be presented to the user or be acted upon as a command for the system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for natural language processing. One of the methods includes receiving a first voice input from a user device; generating a first recognition output; receiving a user selection of one or more terms in the first recognition output; receiving a second voice input spelling a correction of the user selection; determining a corrected recognition output for the selected portion; and providing a second recognition output that merges the first recognition output and the corrected recognition output.

Some embodiments provide retail product ordering systems comprising: a user computing device comprising an application executed by a device control circuit to: receive an audible utterance; controls a product identifier application interface to: apply a tokenizer model and obtain a set of individual search words; apply a series of featurizer models to the search words to generate features; and apply a classifier and extractor model based on the features and generate multiple requested product entities each comprising a respective sub-set of the position labeled product terms; wherein the device control circuit is further configured to access a purchase history database, confirm an accuracy of each of requested product entities relative to a purchase history, generate a listing of determined product identifiers corresponding to the confirmed set of the multiple requested product entities, and control a display system of the user computing device to render the listing of determined product identifiers.

The device includes a centralized warning system able to detect failures of systems of the aircraft and to display procedure lines on a screen, a procedure line including a text giving an indication of an action to be executed at least in the case of a failure, a semantic analysis module for determining from a current procedure line if the action to be executed is associated with a controllable control button and for implementing a semantic analysis of the text of the procedure line using word recognition and in order to derive therefrom indications relative to the controllable control button, these indications including at least an identification of the control button, and a warning unit receiving these indications and being able to warn a member of the crew.

Systems and methods for correcting recognition errors in speech recognition systems are disclosed herein. Natural conversational variations are identified to determine whether a query intends to correct a speech recognition error or whether the query is a new command. When the query intends to correct a speech recognition error, the system identifies a location of the error and performs the correction. The corrected query can be presented to the user or be acted upon as a command for the system.

A method, system, and a computer-readable recording medium for improving a set of at least one semantic unit are provided. According to the present invention, a set of at least one semantic unit may be improved by using a phonetic sound or text.