CN114465837B - Collaborative wake-up processing method and device for intelligent voice equipment - Google Patents
Collaborative wake-up processing method and device for intelligent voice equipment Download PDFInfo
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- CN114465837B CN114465837B CN202210113024.2A CN202210113024A CN114465837B CN 114465837 B CN114465837 B CN 114465837B CN 202210113024 A CN202210113024 A CN 202210113024A CN 114465837 B CN114465837 B CN 114465837B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
- H04L12/282—Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2807—Exchanging configuration information on appliance services in a home automation network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
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Abstract
The intelligent voice equipment collaborative wake-up processing method and device comprises the steps of initializing a voice engine of the voice equipment, networking the voice equipment after the initialization is finished, and selecting master equipment; acquiring equipment priority and domain priority information configured by a cloud, and synchronizing the equipment priority and the domain priority information to a master device; after the voice equipment is awakened, sending an awakening state to master equipment, and judging response equipment by the master equipment according to equipment priority information and equipment state; the response equipment receives arbitration information of the master equipment and then picks up the sound, the response equipment sends picked-up voice to the cloud to receive nlu results returned by the cloud, and the response equipment judges and executes the equipment according to the domain priority of cloud configuration. According to the cloud-based response priority selection method, optimal response equipment is selected according to response priorities of all fields preset by a cloud; the confusion of voice interaction is avoided, the on-site voice broadcasting is more accurate, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of voice processing, in particular to a collaborative wake-up processing method and device for intelligent voice equipment.
Background
At present, in an intelligent home scene, when a user has a plurality of intelligent devices at home, if the user sends out voice information containing wake-up words, a plurality of sound boxes can be in a listening state at the same time, so that the confusion of voice interaction is caused, the on-site voice broadcasting environment is noisy, and the user experience is poor.
At present, main stream intelligent sound box manufacturers on the market usually adopt a sound source positioning method or an energy comparison method to avoid the problems, but both methods have obvious defects.
The sound source localization method mainly obtains the voice equipment closest to the voice recognition data through the position information of the sound source of the voice recognition data. However, the placement position of a plurality of devices in the space is often thousands of, if a wall is blocked, voice data are difficult to accurately obtain, and therefore, the sound direction cannot be judged.
The energy comparison method mainly calculates the nearest device to the user by comparing the sound energy collected by each voice device, thereby responding. However, due to the different pickup capacities of different hardware devices (two microphones and four microphones), uniformity of pickup conditions is not satisfied, and thus the sound energy obtained by each device cannot be proportional to the distance between the user and the device, which results in inaccurate calculation results.
In view of the foregoing, a new wake-up processing solution for intelligent voice devices is needed.
Disclosure of Invention
Therefore, the invention provides a collaborative wake-up processing method and device for intelligent voice equipment, which solve the problems of voice interaction confusion and poor user experience caused by incapability of accurately waking up multi-voice equipment in an intelligent home scene.
In order to achieve the above object, the present invention provides the following technical solutions: a collaborative wake-up processing method of intelligent voice equipment comprises the following steps:
initializing a voice engine of the voice equipment, networking the voice equipment after the initialization is finished, and selecting master equipment;
acquiring equipment priority and domain priority information configured by a cloud, and synchronizing the equipment priority and the domain priority information to the master equipment;
after the voice equipment is awakened, sending an awakening state to the master equipment, and judging a response device by the master equipment according to the equipment priority information and the equipment state of the awakened voice equipment;
the response equipment receives arbitration information of the master equipment and then picks up sound, and the response equipment sends picked-up voice to the cloud;
and the responding equipment receives a nlu result returned by the cloud, and judges the executing equipment of the nlu result according to the domain priority of the cloud configuration.
As a preferable scheme of the intelligent voice equipment collaborative wake-up processing method, when an application is started, a voice engine of the voice equipment is initialized, after the initialization is completed, the voice equipment is networked in a mode of sending multicast information, and master equipment is selected.
As a preferable scheme of the intelligent voice equipment collaborative wake-up processing method, the information synchronized to the master equipment also comprises equipment states, wherein the equipment states are network states;
and the master device judges the response device according to the device priority information and the network state of the awakened voice device.
As a preferable scheme of the intelligent voice equipment collaborative wake-up processing method, after the voice equipment is waken up, the responding equipment performs voice pickup, and the non-responding equipment is waken up and does not perform voice pickup.
As a preferable scheme of the intelligent voice equipment collaborative wake-up processing method, nlu results are distributed to the wake-up execution equipment for processing, and the wake-up non-execution equipment is restored to a state to be waken.
The invention also provides a cooperative wake-up processing device of the intelligent voice equipment, which comprises:
the system comprises an engine initial module, a voice processing module and a voice processing module, wherein the engine initial module is used for initializing a voice engine of voice equipment;
the networking processing module is used for networking the voice equipment after the initial completion and selecting master equipment;
the configuration information synchronization module is used for acquiring the equipment priority and the domain priority information of cloud configuration and synchronizing the equipment priority and the domain priority information to the master equipment;
the response judging module is used for sending an awakening state to the master equipment after the voice equipment is awakened, and the master equipment judges response equipment according to the equipment priority information and the equipment state of the awakened voice equipment;
the pickup processing module is used for pickup after the response equipment receives arbitration information of the master equipment, and the response equipment sends picked-up voice to the cloud;
nlu result return module, configured to receive nlu result returned by the cloud end by the response device;
and the execution judging module is used for judging the execution equipment of the nlu result according to the domain priority of the cloud configuration.
As a preferred scheme of the intelligent voice equipment collaborative wake-up processing device, in the engine initial module, after the application is started, a voice engine of the voice equipment is initialized;
and in the networking processing module, the voice equipment is networking in a mode of sending multicast information after the initial completion, and master equipment is selected.
As a preferable scheme of the intelligent voice equipment collaborative wake-up processing device, in the configuration information synchronization module, the information synchronized to the master equipment further comprises an equipment state, wherein the equipment state is a network state;
in the response judging module, the master device judges the response device according to the device priority information and the network state of the awakened voice device.
As the optimal scheme of the intelligent voice equipment collaborative wake-up processing device, in the pick-up processing module, after the voice equipment is waken up, the responding equipment performs voice pickup, and the non-responding equipment is waken up and does not perform voice pickup.
As a preferable scheme of the intelligent voice equipment collaborative wake-up processing device, the intelligent voice equipment collaborative wake-up processing device further comprises an execution processing module, a wake-up processing module and a wake-up processing module, wherein the execution processing module is used for distributing nlu results to wake-up execution equipment for processing;
the system also comprises a state restoration module which is used for restoring the awakened non-execution device to the state to be awakened.
The invention has the following advantages: initializing a voice engine of the voice equipment, networking the voice equipment after the initialization is finished, and selecting master equipment; acquiring equipment priority and domain priority information configured by a cloud, and synchronizing the equipment priority and the domain priority information to a master device; after the voice equipment is awakened, sending an awakening state to master equipment, and judging response equipment by the master equipment according to equipment priority information and the equipment state of the awakened voice equipment; the response equipment receives arbitration information of the master equipment and then picks up sound, and the response equipment sends picked-up voice to the cloud; and the responding equipment receives the nlu result returned by the cloud, and judges nlu the executing equipment of the result according to the domain priority of the cloud configuration. The invention can utilize the home LAN with local stability to carry out networking and dynamically arbitrate according to the intention field hit by the voice command, thereby selecting the optimal response equipment according to the response priority of each field preset by the cloud; the confusion of voice interaction is avoided, the on-site voice broadcasting is more accurate, and the user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, changes in proportions, or adjustments of sizes, which do not affect the efficacy or the achievement of the present invention, should fall within the scope of the invention.
Fig. 1 is a schematic flow chart of a collaborative wake-up processing method for an intelligent voice device according to an embodiment of the present invention;
fig. 2 is a schematic technical route diagram of a collaborative wake-up processing method for an intelligent voice device according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an intelligent voice device co-wake processing apparatus according to an embodiment of the present invention.
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1 and 2, embodiment 1 of the present invention provides a cooperative wake-up processing method for an intelligent voice device, including the following steps:
s1, initializing a voice engine of voice equipment, networking the voice equipment after the initialization is completed, and selecting master equipment;
s2, acquiring equipment priority and domain priority information of cloud configuration, and synchronizing the equipment priority and the domain priority information to the master equipment;
s3, after the voice equipment is awakened, sending an awakening state to the master equipment, and judging a response equipment by the master equipment according to the equipment priority information and the equipment state of the awakened voice equipment;
s4, after receiving arbitration information of the master device, the response device picks up sound, and the response device sends picked-up voice to the cloud;
and S5, receiving a nlu result returned by the cloud end by the response equipment, and judging the execution equipment of the nlu result according to the domain priority of the cloud end configuration.
In the embodiment of fig. 2, in step S1, when the application is started, the speech engine of the speech device is initialized, after the initialization, the speech device is networked by sending a multicast message, and a master device is selected.
Specifically, the speech engine is the prior art applied to speech equipment, relates to acoustics, linguistics, digital signal processing technology and multimedia technology, and can convert text information in text state into audible sound information, so that the text information which can only be seen by eyes can be heard by ears. Such as a popular science and large news flyer speech engine, a little love speech engine, etc.
Specifically, the networking of the voice devices achieves point-to-multipoint network connection between the sender and each recipient by sending multicast messages. If a sender transmits the same data to a plurality of receivers at the same time, only one copy of the same data packet is needed, so that the data transmission efficiency is improved, and the possibility of congestion of a backbone network is reduced.
In this embodiment, in step S2, the information synchronized to the master device further includes a device state, where the device state is a network state;
and the master device judges the response device according to the device priority information and the network state of the awakened voice device.
Specifically, after the voice equipment networking is completed, equipment priority and domain priority information of cloud configuration are acquired from the cloud, and related information (equipment priority, domain priority and equipment state) is synchronized to the master equipment. The voice equipment of the network is in a state to be awakened, after the voice equipment is awakened, the awakening state is sent to the master equipment, and the master equipment judges the response equipment according to the equipment priority information and the equipment states (network states and the like) of all the awakened voice equipment.
Specifically, the device priority refers to the order of the voice devices that respond, and the domain priority refers to the order of the voice devices that execute the corresponding voice instructions according to the domain. The device priority and the domain priority information are preconfigured on the cloud.
In this embodiment, in step S3, after the voice device is awakened, the responding device performs voice pickup, and the non-responding device is awakened to perform no voice pickup. In step S5, the method further includes distributing nlu results to the awakened execution device for processing, and restoring the awakened non-execution device to the to-be-awakened state.
Specifically, the response device receives arbitration information of the master device and then picks up sound, and other voice devices which are awakened at the same time do not pick up sound, but display the state in work, and the response device sends the picked-up voice to the cloud and receives nlu results (natural language understanding results) returned by the cloud. After the response device obtains the nlu result, the execution device corresponding to the nlu result field is judged according to the cloud configured field priority, and the nlu result is distributed to the voice device corresponding to wake-up for processing, and other voice devices which are also wake-up do not process the wake-up, and are restored to the state to be wake-up.
In summary, the invention initializes the voice engine of the voice device, and after the initialization, the voice device is networked and the master device is selected; acquiring equipment priority and domain priority information configured by a cloud, and synchronizing the equipment priority and the domain priority information to a master device; after the voice equipment is awakened, sending an awakening state to master equipment, and judging response equipment by the master equipment according to equipment priority information and the equipment state of the awakened voice equipment; the response equipment receives arbitration information of the master equipment and then picks up sound, and the response equipment sends picked-up voice to the cloud; and the responding equipment receives the nlu result returned by the cloud, and judges nlu the executing equipment of the result according to the domain priority of the cloud configuration. The response equipment receives arbitration information of the master equipment and then picks up sound, other voice equipment which is awakened at the same time does not pick up sound, but displays the working state, and the response equipment sends the picked-up sound to the cloud and receives nlu results (natural language understanding results) returned by the cloud. After the response device obtains the nlu result, the execution device corresponding to the nlu result field is judged according to the cloud configured field priority, and the nlu result is distributed to the voice device corresponding to wake-up for processing, and other voice devices which are also wake-up do not process the wake-up, and are restored to the state to be wake-up. The invention can utilize the home LAN with local stability to carry out networking and dynamically arbitrate according to the intention field hit by the voice command, thereby selecting the optimal response equipment according to the response priority of each field preset by the cloud; the confusion of voice interaction is avoided, the on-site voice broadcasting is more accurate, and the user experience is improved.
Example 2
Referring to fig. 3, embodiment 2 of the present invention further provides an intelligent voice device co-wake processing apparatus, including:
the engine initialization module 1 is used for initializing a voice engine of the voice equipment;
the networking processing module 2 is used for networking the voice equipment after the initial completion and selecting master equipment;
the configuration information synchronizing module 3 is used for acquiring the equipment priority and the domain priority information configured by the cloud, and synchronizing the equipment priority and the domain priority information to the master equipment;
the response judging module 4 is used for sending an awakening state to the master device after the voice device is awakened, and the master device judges the response device according to the device priority information and the device state of the awakened voice device;
the pickup processing module 5 is used for pickup after the response equipment receives the arbitration information of the master equipment, and the response equipment sends the picked-up voice to the cloud;
nlu result return module 6, configured to receive a nlu result returned by the cloud end by the response device;
and the execution judging module 7 is used for judging the execution equipment of the nlu result according to the domain priority of the cloud configuration.
In this embodiment, in the engine initialization module 1, after an application is started, a speech engine of a speech device is initialized;
in the networking processing module 2, after the initial completion, the voice equipment is networking in a mode of sending multicast messages, and master equipment is selected.
In this embodiment, in the configuration information synchronization module 3, the information synchronized to the master device further includes a device state, where the device state is a network state;
in the response judging module 4, the master device judges the response device according to the device priority information and the network state of the awakened voice device.
In this embodiment, in the pickup processing module 5, after the voice device is awakened, the responding device performs voice pickup, and the non-responding device is awakened to perform no voice pickup.
In this embodiment, the device further includes an execution processing module 8, configured to distribute the nlu result to the awakened execution device for processing;
a state restoration module 9 is further included for restoring the awakened non-executing device to the state to be awakened.
It should be noted that, because the content of information interaction and execution process between the modules/units of the above-mentioned apparatus is based on the same concept as the method embodiment in embodiment 1 of the present application, the technical effects brought by the content are the same as the method embodiment of the present application, and the specific content can be referred to the description in the foregoing illustrated method embodiment of the present application, which is not repeated herein.
Example 3
Embodiment 3 of the present invention provides a non-transitory computer readable storage medium, where a program code of the smart voice device co-wake processing method is stored, the program code including instructions for executing the smart voice device co-wake processing method of embodiment 1 or any possible implementation thereof.
Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc., that contain an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk, SSD), etc.
Example 4
Embodiment 4 of the present invention provides an electronic device, including: a memory and a processor;
the processor and the memory complete communication with each other through a bus; the memory stores program instructions executable by the processor, and the processor invokes the program instructions to perform the intelligent voice device co-wakeup processing method of embodiment 1 or any possible implementation thereof.
Specifically, the processor may be implemented by hardware or software, and when implemented by hardware, the processor may be a logic circuit, an integrated circuit, or the like; when implemented in software, the processor may be a general-purpose processor, implemented by reading software code stored in a memory, which may be integrated in the processor, or may reside outside the processor, and which may reside separately.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present invention, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.).
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.
While the invention has been described in detail in the foregoing general description and specific examples, it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (2)
1. The intelligent voice equipment collaborative wake-up processing method is characterized by comprising the following steps of:
initializing a voice engine of the voice equipment, networking the voice equipment after the initialization is finished, and selecting master equipment;
acquiring equipment priority and domain priority information configured by a cloud, and synchronizing the equipment priority and the domain priority information to the master equipment;
after the voice equipment is awakened, sending an awakening state to the master equipment, and judging a response device by the master equipment according to the equipment priority information and the equipment state of the awakened voice equipment;
the response equipment receives arbitration information of the master equipment and then picks up sound, and the response equipment sends picked-up voice to the cloud;
the responding equipment receives nlu results returned by the cloud, and the executing equipment of the nlu results is judged according to the domain priority of cloud configuration;
initializing a voice engine of the voice equipment after the application is started, networking the voice equipment in a mode of sending multicast information after the initialization is completed, and selecting master equipment;
the information synchronized to the master device also includes a device state, the device state being a network state;
the master device judges a response device according to the device priority information and the network state of the awakened voice device;
when the voice equipment is awakened, responding equipment performs voice pickup, and non-responding equipment is awakened and does not perform voice pickup;
and distributing nlu results to the awakened execution device for processing, and restoring the awakened non-execution device to a state to be awakened.
2. An intelligent voice device co-wakeup processing device, comprising:
the system comprises an engine initial module, a voice processing module and a voice processing module, wherein the engine initial module is used for initializing a voice engine of voice equipment;
the networking processing module is used for networking the voice equipment after the initial completion and selecting master equipment;
the configuration information synchronization module is used for acquiring the equipment priority and the domain priority information of cloud configuration and synchronizing the equipment priority and the domain priority information to the master equipment;
the response judging module is used for sending an awakening state to the master equipment after the voice equipment is awakened, and the master equipment judges response equipment according to the equipment priority information and the equipment state of the awakened voice equipment;
the pickup processing module is used for pickup after the response equipment receives arbitration information of the master equipment, and the response equipment sends picked-up voice to the cloud;
nlu result return module, configured to receive nlu result returned by the cloud end by the response device;
the execution judging module is used for judging the execution equipment of the nlu result according to the domain priority of cloud configuration;
in the engine initial module, after the application is started, a voice engine of the voice equipment is initialized;
in the networking processing module, after the initial completion, the voice equipment is networking in a mode of sending multicast information, and master equipment is selected;
in the configuration information synchronization module, the information synchronized to the master device further comprises a device state, wherein the device state is a network state;
in the response judging module, the master device judges response equipment according to equipment priority information and the network state of the awakened voice equipment;
in the pickup processing module, after the voice equipment is awakened, the responding equipment performs voice pickup, and the non-responding equipment is awakened and does not perform voice pickup;
the system also comprises an execution processing module, a processing module and a processing module, wherein the execution processing module is used for distributing nlu results to the awakened execution equipment for processing;
the system also comprises a state restoration module which is used for restoring the awakened non-execution device to the state to be awakened.
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| CN115019793A (en) * | 2022-05-31 | 2022-09-06 | 四川虹美智能科技有限公司 | Awakening method, device, system, medium and equipment based on cooperative error correction |
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