219results about How to "Improve speech recognition rate" patented technology

A system and method are provided for recognizing a user's speech input. The method includes the steps for detecting the user's speech input, recognizing the user's speech input by comparing the speech input to a list of entries using language model statistics to determine the most likely entry matching the user's speech input, and detecting navigation information of a trip to a predetermined destination, where the most likely entry is determined by modifying the language model statistics taking into account the navigation information. A system and method is further provided that takes into account navigation trip information to determine the most likely entry using language model statistics for recognizing text input.

Disclose is a mobile terminal and control method thereof for inputting a voice to automatically generate a message to be sent during conversation using a mobile messenger, and it may include a microphone for inputting a user's voice, a display unit for displaying a mobile messenger; and a controller for inputting and recognizing a user's voice when a mobile messenger is implemented and then converting into a message to display the message on a message input window of the mobile messenger, and sending the displayed message to the other party which has been preset, and displaying the message sent to the other party and a message received from the other party in the sending and receiving order on a send/receive display window of the mobile messenger.

The invention discloses a voice interaction control method and device for intelligent equipment, and the method comprises the steps: monitoring and collecting a voice signal, sent by an intelligent equipment user, in real time; carrying out the voice recognition of the collected voice signal; wakening the corresponding functions of the intelligent equipment according to the voice recognition result of the voice signal, and determining whether to control the intelligent equipment to move or not: obtaining the position of the user if the intelligent equipment is controlled to move, controlling the intelligent equipment to move towards the user, shortening the distance between the intelligent equipment and the user, and recognizing another voice signal sent by the user; or else, controlling the intelligent equipment to carry out the corresponding operation according to the voice recognition result. According to the technical scheme of embodiment of the invention, the method controls the intelligent equipment to move towards the user according to the voice recognition result when a voice instruction of the user cannot be heard clearly because of long distance, thereby achieving the near-field voice interaction, ironing out the defect that a far-field voice recognition effect is poor, and providing natural and smooth interaction experience for the user.

A speech recognition method comprises model selection step which selects a recognition model based on characteristic information of input speech and speech recognition step which translates input speech into text data based on the selected recognition model.

Voice operation device includes: voice recognition dictionary for storing plurality of groups of synonyms provided for plurality of functions of devices to be operated and each includes at least one word; voice recognition unit that checks voice data from voice taking unit against words stored in voice recognition dictionary to recognize word corresponding to voice; device control unit that controls devices to be operated based on word recognized by voice recognition unit; recognition history storage unit that sequentially stores words recognized by voice recognition unit; and dictionary update unit that updates voice recognition dictionary in such way that words which are determined to have been recognized at low frequencies in the past, based on recognition history stored in recognition history storage unit, are deleted except at least one of word which is left in each group of plurality of groups of synonyms in order to be checked.

A method for speech recognition can include generating a context-enhanced database from a system input. A voice-generated output can be generated from a speech signal by performing a speech recognition task to convert the speech signal into computer-processable segments. During the speech recognition task, the context-enhanced database can be accessed to improve the speech recognition rate. Accordingly, the speech signal can be interpreted with respect to words included within the context-enhanced database. Additionally, a user can edit or correct an output in order to generate the final voice-generated output which can be made available.

The operation of a device by a user is detected, and one or more speech input executing commands corresponding to the operated device are provided to the user, e.g., by speech or by being displayed on a screen. Speech input guidance may be stopped if it would interfere with an audio or image output of an operated device, or if a count of guidance speech outputs exceeds a predetermined number.

The invention provides a method for adjusting a confidence coefficient threshold of voice recognition and an electronic device. The method for adjusting the confidence coefficient threshold of voice recognition is applied to the electronic device which supports voice recognition. The current confidence coefficient threshold of voice recognition serves as a first value. The method for adjusting the confidence coefficient threshold of voice recognition comprises the steps of detecting N parameters to obtain N detection results, wherein the N is an integer larger than or equal to one; adjusting the confidence coefficient threshold on the basis of at least one of the N detection results so that the confidence coefficient threshold can be changed from the first value into a second value, wherein the second value is equal to or different from the first value.

The invention provides a noise reduction method, a noise reduction device and a terminal, wherein the noise reduction method comprises the steps of determining noise properties of received voice information; determining a target noise reduction manner from a plurality of pre-set noise reduction manners according to the noise properties of the voice information, and reducing noise of the voice information, wherein the plurality of pre-set noise reduction manners comprise a hardware noise reduction manner and a software noise reduction manner. By means of the technical scheme provided by the invention, the noise reduction manner suitable for a current scene is determined according to the noise properties of the voice information, and therefore, input of the voice information can be enhanced; the voice recognition rate is increased, and further, the best noise reduction and voice recognition effects are achieved.

The invention discloses a voice recognition method, device and apparatus and a storage medium. The method includes: when a sounding event is triggered, receiving a voice signal sent by a microphone and acquired by a user during the execution of the sounding event and an image signal including a lip; performing feature extraction on the voice signal to generate a voice feature signal, and performing feature extraction on the image signal including the lip to generate a lip-language feature signal; sending the voice feature signal and the lip-language feature signal to a server to instruct the server to match the voice feature signal with a preset voice signal to generate a voice recognition result and to match the lip-language feature signal with a preset lip-language signal to generate a lip-language recognition result; if the similarity between the voice recognition result and the lip-language recognition result is greater than or equal to a similarity threshold, generating a recognition feedback result according to the voice recognition result and sending the recognition feedback result to a terminal. The embodiment of the invention achieves improved voice recognition rate.

The invention relates to a voice recognition method, a voice recognition device and a voice recognition system. The voice recognition method comprises the following steps: preprocessing picked voice data to obtain preprocessed voice data; extracting voice features in the preprocessed voice data; matching the voice features with a local voice feature database, and if the matching is unsuccessful, sending a first voice recognition request to a target server; receiving a first voice recognition response which includes the matching result of the voice features and the local voice feature database through the target server returned by the target server and sending a second voice recognition request to the target server when the first voice recognition response presents that the matching is unsuccessful, and receiving a second voice recognition response returned by the target server, wherein the second voice recognition response comprises a voice recognition result obtained after the preprocessed voice data is sent to a manual translation terminal to be manually translated. According to the technical scheme of the embodiment of the invention, the voice recognition rate of an intelligent terminal is greatly improved.

The invention discloses a human-computer interaction system and method controlling an IP set-top box through smart phone voice. The system comprises a smart terminal and the controlled IP set-top box, wherein the smart terminal and the controlled IP set-top box are connected through a communication network, the smart terminal comprises a voice acquiring module, a voice identifying module, a voice instruction screening module and a voice controlling module, and the voice identifying module is connected with a voice cloud computing platform through the Internet. According to the human-computer interaction system and method controlling the IP set-top box through the smart phone voice, voice control over the set-top box is achieved through a smart phone, operation is simple, and cost is low; voice identifying is performed through the cloud computing platform which collects a large amount of data of voice, vocabularies and the like, and the voice identifying rate is high; voice instructions are screened, the effects caused by accents, dialects, noise and the like are effectively weakened, the instruction expected by a user is hit, and accuracy of the voice control is improved; semantic identifying can be achieved through a custom voice input function, the voice expected by the user can be mapped to corresponding operation, and the accuracy of the voice control is further improved.

The embodiment of the invention provides an information processing method and electronic equipment and relates to the field of electronic terminals. The information processing method and the electronic equipment can improve voice recognition rate and improve user experience. The method comprises the steps that after a trigger instruction is obtained, the trigger instruction is responded to control a voice recognition engine unit to be switch into a normal work state from a low power consumption state; when the voice recognition engine unit is in the normal work state, a voice collecting unit can collect voice data, and a display unit can display first prompt information which is used for displaying that the electronic equipment is collecting voice; then parameter information of the voice data is obtained; output contents are decided according to the parameter information; the output contents are used for prompting a user to carry out input advise of voice interaction on the electronic equipment; the output contents are controlled to be output. The information processing method and the electronic equipment are used for voice input in a voice collecting state.

The speech recognition system of the present invention includes: a sound source separating section which separates mixed speeches from multiple sound sources; a mask generating section which generates a soft mask which can take continuous values between 0 and 1 for each separated speech according to reliability of separation in separating operation of the sound source separating section; and a speech recognizing section which recognizes speeches separated by the sound source separating section using soft masks generated by the mask generating section.