TWM612933U - Audio-guided house description device - Google Patents

Abstract

This authoring department provides a voice-interpretation housing device, which includes a script template database, an object database, a drafting module, and a text-to-speech module. The drafting module obtains the index code of the object to be drafted and its characteristics, as well as the index code of the lecture set board and the content of the variable lecture, and outputs the corresponding lecture file, and the text-to-speech module uses the lecture file Each object in the text will be converted into voice data corresponding to the object.

Description

Audio-guided house installation

This creation is about a device for explaining houses, especially a device for explaining houses by voice.

There are many considerations for purchasing real estate, such as: price, location, public housing ratio, number of square meters, living functions, object types, etc. Common real estate search methods use the above-mentioned aspects as the criteria for customers to search, for example, the total price of the search is less than one. Tens of millions of objects or searching for objects in two bedrooms and one living room, but the results of the objects displayed by the customer after the aforementioned search are still very messy and disorderly, and it still takes a lot of effort and energy to browse and filter each object one by one. The usual retrieval method cannot fully meet the needs of customers in terms of purchase considerations.

In addition, many customers are not only considering the conditions of the item itself when purchasing real estate, but the priority is whether the item in which the item is located meets their preferences or needs, that is, to find a good house first The concept of finding good objects has gradually become a trend. However, the existing real estate search methods are still based on the conditions of the objects themselves, or they can only query and know which objects are in a certain administrative area. You must select and enter each object category point by point. Knowing the conditions of the item (such as the age of the house, the total price band, etc.), it will take more time for the customer to find the satisfactory item, and the real estate agent cannot smoothly provide the customer with the information of the item sold through the system.

In addition, with the development of voice technology, the count of voice recognition has been introduced to the needs of real estate transactions one by one, but voice recognition Recognition rate has always been one of the most troublesome issues. If the result of the recognition is always not what the user thinks, after a long time, the user will no longer use the voice recognition to search.

In addition, even if the voice search can produce results smoothly, the existing technology still cannot display the search results through voice playback. This is because the real estate industry has a huge amount of items for sale, and it is impossible to pre-specify each item one by one. Record the voice file of the voice profile.

Because of this, the applicant, in view of the lack of known technology, invented this creation "Voice Explaining House Device" to improve the above-mentioned deficiency.

Therefore, there is a need for an audio-guided house device that can overcome the problems of the conventional art. In order to achieve the above-mentioned purpose, this authoring department provides an audio-interpretation house device, which includes a script template database, an object database, a drafting module, and a text-to-speech module. The drafting module obtains the index code of the object to be drafted and its characteristics, as well as the index code of the lecture set board and the content of the variable lecture, and outputs the corresponding lecture file, and the text-to-speech module uses the lecture file Each object in the text will be converted into voice data corresponding to the object.

In this way, first use the template to grab the required data from the database, and then convert it into voice data through text-to-speech, which can save a lot of manual recording of large-scale voice explanations, making pure voice-operated real estate websites become may.

In order to reduce the speech recognition error rate, the authoring system will use the speech recognition phrase relative to the search context according to the search context, convert the speech object condition into an object condition string, and then perform the search process.

The voice explanation house device provided by this creation can fully meet the needs of customers in real estate purchase, that is, the voice explanation house device of this creation Housing installations are searched in an object-first search method. After the user enters his needs for objects and other residential types, the system presents the result of the object collection. The user can first select the object that he or she is satisfied with, and then browse the waiting list. For sale of objects, since objects can often reflect the living conditions of the objects in them, such as the quality of life and other living conditions, the object-first search method can effectively allow real estate agents to provide customers with information on the objects they sell through the system, thereby increasing the chances of matching between the two parties. .

10: Voice explanation of house installation

2: Lecture set database

4: Proposed module

6: Text-to-speech module

8: Broadcasting device

101: user side

105: Object database

106: Plural objects

110: Voice module

120: Search module

130: output module

106A: Object

106B: Object

A01, A02, A03, A04: object features

S01, S02: Saleable items

20: System search page

205: Search type options

206: Search type options

210: search criteria

211: search criteria

215: Search button

220: map block

221: mark

222: mark

230: search result block

231: Project

232: Project

30: Execution process

S301, S302, S303, S304, S305, S306, S307, S308: steps

Figure 1 is a schematic diagram showing the voice-guided housing installation of this creation; Figure 2 is a schematic diagram showing the voice-guided housing device of this creation; Figure 3 is a schematic diagram showing the object database of this creation; Figure 4 is a schematic diagram showing the creation of the object database The schematic diagram of the system search page of creation; Figure 5 is a schematic diagram showing the system search page of this creation; Figure 6 is a schematic diagram showing the system search page of this creation; and

This creation will be fully understood by the following example description, so that those who are familiar with the art can complete it, but this creation can also be implemented with other examples widely. That is, the implementation of this creation is not limited by the following embodiments, but the scope of the patent application for this creation shall prevail.

Please refer to Figure 2, which shows a schematic diagram of the voice-guided house installation in this creation. In FIG. 1, the device 10 for explaining the house by voice includes an object database 105, a script template database 2, a drafting module 4, and a text-to-speech module 6. The object database 105 stores a plurality of objects, and corresponds to each object with an object index code, and the object includes at least object characteristics. For example, the characteristics of an object may be the number of houses, the age of the house, the public status, the number of households in the community to which the object belongs, the living functions, the number of floor space, the orientation of the house, and the number of floors of the house. Preferably, the object database 105 can store one Or data of multiple objects. Preferably, the object may have one or more object characteristics. Preferably, the saleable items of the item may be zero or an integer greater than zero.

To put it simply, the drafting module 4 outputs a relative speech file and uses the text-to-speech module 6 to convert each object speech in the speech file into speech data corresponding to the object, and the speech data can be played by the broadcasting device 8. , So that the user can hear the content of the voice data, and the search results can be played relatively after the user completes the voice search, so as to realize the pure voice operation of the real estate website, or in the interactive operation during VR viewing, the user clicks Select some hot spots in the VR viewing content (for example, it is designated on the window, and the voice playback content may be explaining the scenery outside the window). Among them, the lecture file contains at least one object lecture, and each object lecture is composed of the unchangeable lecture content and the variable lecture content, and the variable lecture content in the lecture file is composed of the feature of the object .

The unchangeable lecture content comes from the plural lecture set data stored in the lecture set database 2, and each lecture set data has a lecture set index code and the unchangeable lecture content to which the lecture set index code belongs. For example, the number of community houses is XX, the house age is XX years, and the public status is XX. Except for XX, which is variable lecture content, the rest are non-changeable lecture content. There are many types of information in the presentation kit. For example, the number of houses in the community is XX, or the community is divided into XX districts and there are XX buildings in total. The selection of the script template can be specified by the system or selected by the user through voice interactive operations.

After the user completes the search operation, the user wants to listen to the search results (including at least one index code of the object), and the drafting module 4 obtains the index code of the object to be drafted, the characteristic of the object, and the index code of the lecture package And the variable content of the speech, and output the relative speech file, the text-to-speech module 6 converts each object speech in the speech file into the voice data corresponding to the object. Among them, the voice data can be played by the broadcasting device 8 so that the user can hear the content of the voice data. The following continues to describe how users conduct voice search.

Please refer to Figure 2, which shows a schematic diagram of the voice-guided house installation in this creation. In Figure 2, the audio-guided housing device 10 includes an object database 105, a voice module 110, a search module 120, and an output module 130. The object database 105 stores a plurality of objects 106, and the plurality of objects 106 have at least An object feature (detailed in Figure 2). The voice explanation housing device 10 has a user terminal 101 outside. The voice module 110 receives the first voice object condition sent by the user terminal 101 about the characteristics of the object, and according to the search context, uses the voice recognition phrase relative to the search context to The first voice object condition is converted into a first object condition string. Among them, the search context includes different situations such as renting a house, buying a house, selling a house, and so on. In different search contexts, there will be relative speech recognition phrases for recognition, and the first object condition string generated is also roughly Belong to the speech recognition phrase, reducing false speech recognition.

The drafting module 4 outputs the corresponding speech file according to the object index code of the plurality of objects in the search result and the speech package index code, and the text-to-speech module 6 outputs each item in the speech file The object speech is converted into the voice data corresponding to the object. Furthermore, voice search can also be incorporated into the learning function.

For example, in the search context of house purchase and sale, the same first voice object condition, such as Shuanglian, is more likely to find objects around Shuanglian MRT station in the search context of house purchase, so the first object condition The string is more likely to be Shuanglian MRT station, and it is more likely to be looking for objects around Shuanglian Street in the search context of house sales, so the first object condition string is more likely to be Shuanglian Street instead of Shuanglianjie Transport station.

After the voice module 110 receives the first object condition string sent by the user terminal 101, it sends the received object condition string to the search module 120, and then the search module 120 compares the object condition string with the object database According to the object characteristics in 105, the objects matching each other within the predetermined conditions are found and the matching objects are sent to the output module 130, and then the output module 130 sends the search result back to the user terminal 101. Preferably, the search module 120 finds objects that match each other within a predetermined condition and generates a search result containing a specific number of objects, where the specific number can be zero or an integer greater than zero.

Please refer to Figure 3, which shows the database of objects created by this creation Schematic. In FIG. 3, the object database 105 stores that the object 106A is, for example, a suitable house, and the object 106B is, for example, a building. For example, the objects can be military villages, built-up houses, national houses, collective residential areas, suitable houses, social houses, or apartments within a specific range, mansions, residential buildings, suites, touring houses, or other dwellings. Type. Object 106A has object feature A01, for example, the age of the house is 15 years, object feature A02, for example, the number of households in the community to which the object belongs, 20 households, object feature A03, for example, the living function is a store, and object feature A04 is, for example, a public swimming pool, and object 106A is also It has a saleable item S01 and a saleable item S02. The object 106B has an object feature A01, for example, a house age of 15 years, an object feature A02, for example, the number of households in the community to which the object belongs, 15 households, and an object feature A03, for example, a living function as a market, where the saleable items of the object 106B are zero.

The correspondence relationship between the object 106A, the saleable article S01 and the saleable article S02 needs to be completed by some means, because there is no public information to find out the correspondence relationship. Specifically, based on the township, urban area, location of the land section, or building address, total land transfer area square meters, urban land use zoning, transaction year and month, number of transaction buildings, transfer level, total number of floors , Building type, main purpose, main building materials, building completion year and month, total area of the building transferred square meters, current state of the building, whether there is a management organization, the total price, the unit price per square meter or the name of the object, etc., you can choose All, or select several from them, and construct the object characteristics of a plurality of objects, and then disassemble the transaction data into a plurality of fields based on this, and provide search and comparison purposes. Then, according to the housing conditions of the saleable object S01 and the saleable object S02, it means that the address, total number of floors, and construction completion date in this housing condition are compared with the object characteristics of most objects in the object database. By searching and obtaining at least one specific item information corresponding to the housing conditions of the saleable item S01 and the saleable item S0, the establishment of the relationship between the item 106A, the saleable item S01 and the saleable item S02 is completed.

Please continue to refer to Figures 2 and 3, the search module 120 compares the received object condition string with the object characteristics of a plurality of objects 106 in the object database 105 to find objects that meet each other within the predetermined conditions. For example, if the object condition string is the age of the house 15 years, the search module 120 compares the object features in the object database 105 and finds that the object feature A01 of the object 106A and object 106B is the house age of 15 years, so the comparison condition is met The objects are the object 106A and the object 106B, and then the search module 120 sends the object 106A and the object 106B to the output module 130 to generate search results.

In this creation, the search module 120 will perform comparisons within predetermined conditions, and the predetermined conditions include (1) the object condition string is a numeric value, and the housing group characteristics are the same as the object condition string, and the search results show objects that completely match; (2) The object condition string is a numeric value. If the housing group characteristics are different from the object condition string, the difference range is the range of the object condition string plus or minus the predetermined value. The search result shows some objects that match; (3) The object condition string is If the text, housing group characteristics and the object condition string are the same, the search results show objects that completely match; and (4) The object condition string is text, and the housing group characteristics are different from the object condition string, then the search results show the housing group characteristics and objects Objects with similar condition strings. For example, if the object condition string is 20 households in the community to which the object belongs, the search module 120 will compare the object characteristics in the object database 105 with the value 20 plus or minus 5 in the search range of 15-25, and then find the house The group feature is the object 106A with 20 households in the community to which the object belongs and the housing group feature is the object 106B with 15 households in the community to which the object belongs. In addition to the object 106B with the market, the object 106A with the characteristics of the housing complex will also be found with similar characteristics. Among them, markets, stores, etc. belong to similar conditions and need to be summarized in advance and build an object database.

Please refer to Figure 4, which shows the system search page of this creation Schematic diagram. In FIG. 4, the system search page 20 includes search type options 205-206, search conditions 210-211, and a search button 215. The user selects the type option and enters the search condition and clicks the search button 215 to send the object condition string to the voice module of the authoring system. Preferably, the search type option 205 and search condition 210 are required input data, and the search type option 206 and search condition 211 are unnecessary input data. If the user wants to input multiple search data, he can click on the system search page 20 "+" to generate new search type options and search criteria fields.

Please refer to Figure 5, which shows a schematic diagram of the system search page of this creation. In Figure 5, the system search page 20 further includes a map block 220 and a search result block 230. The map block 220 displays the location of the search result object on the map, for example, the object 106A is indicated by the mark 221 and the object 106B It is represented by the mark 222, and the search result block 230 displays the name of the object of the search result, for example, the object 106A is represented by the item 231 and the object 106B is represented by the item 232. For example, after the user sends out the object condition string, such as the voice module of the system that is 15 years old to the creation, the output module will compare the object database with the search module and the output module will have the housing group feature A01. For example An object 106A that is 15 years old is a suitable house, and an object 106B, such as a mansion, is sent back to the system search page 20, where the search module will confirm whether the matching object is available for sale after finding the matching object Objects, if the matching objects do not have saleable objects, they will be listed as non-conforming objects and removed from the comparison results. That is, the search results do not show objects that meet the matching conditions but do not have any saleable object data. In this example, object 106A has saleable object S01 and saleable object S02, and object 106B has saleable object S01, so they are all objects that have saleable objects and meet the matching conditions. In addition, the search module will also match the matching conditions. The number of saleable object data in the conditional object, and sort the objects in the search results by least, such as objects 106A has more saleable items than item 106B, so the order of item 106A is higher than that of item 106B. By this means, users can know which items meet their search criteria and have saleable items, and can give priority to having more saleable items. Object of object.

Please refer to Figure 6, which shows a schematic diagram of the system search page of this creation. Fig. 6 is a continuation of Fig. 5. After the user obtains the preliminary search result, the user performs an operation related to a second voice object condition of the at least one object feature, and the voice module 110 uses the relative to the search according to the search context. The speech recognition phrase in the context, the second speech object condition is converted into a second object condition string, and the second object condition string is used to search again in the preliminary search results, where the data of the preliminary search result has been stored in On the client side, the re-searching process will only read the cache on the client side, and will not re-access the object database to reduce the burden on the object database.

In more detail, the search module compares the second object condition string with at least one object feature of the object that meets the matching conditions in the preliminary search results, and finds out that at least one housing group feature and the second object condition string are predetermined Objects that match each other in the conditions, and generate a search result that includes one of the objects that meet the matching conditions. If the search module compares the second object condition string with at least one object feature of the object that meets the matching conditions in the search result Find out the objects that at least one housing group feature and the second object condition string match each other within the predetermined conditions, then the search module removes the non-conforming objects from the search results and presents the matching objects in the re-search result . For example, the user sends a second object condition string such as a swimming pool, and in the preliminary search results, only object 106A has housing group characteristics. A04 such as a public swimming pool, so the system search page 20 is based on the second object condition The string removes the object 106B from the map block 220 and the search result block 230, leaving only the matching object 106A, which is the re-search result. Preferably, if the search module compares the second object condition string with the preliminary search result If at least one object feature matching the second object condition string within the predetermined condition is not found after the object features that meet the comparison condition, the re-search result is the same as the preliminary search result. This creation is disclosed with the above-mentioned preferred embodiments and examples as references, and readers should understand that these examples are used for description rather than limitation. Anyone who is familiar with this technique can make various combinations and modifications without departing from the spirit and scope of the present invention, and it should still fall within the scope of the patent of the present invention.

10: Voice explanation of house installation

2: Lecture set database

4: Proposed module

6: Text-to-speech module

8: Broadcasting device

105: Object database

Claims (10)

A device for audio explaining houses, comprising: an object database configured to store a plurality of objects, wherein an object index code corresponds to each object, and the object includes at least one object feature; a lecture template database for storing plural lectures Set of board data. Each lecture set of data has an index code of the set of lectures and an unchangeable lecture content to which the index of the set of lectures belongs; a drafting module that couples the database of the set of lectures and the object data The library obtains the object index code and the object characteristics to be drawn, as well as the lecture set board index code and the variable lecture content, and outputs a corresponding lecture file, wherein the lecture file contains at least one object lecture, Each object lecture is composed of the unchangeable lecture content and a variable lecture content. The variable lecture content in the lecture file is composed of the object feature; and a text-to-speech module coupled with the proposed module , To convert each object speech in the speech file into a voice data corresponding to the object; wherein, the speech data can be played by a broadcasting device so that the user can hear the content of the speech data. The voice-guided house device described in item 1 of the scope of patent application, wherein the voice-guided house device further comprises: a voice module configured to receive a first voice object condition related to the feature of the object, and follow a search Context, using a voice recognition phrase relative to the search context to convert the first voice object condition into a first object condition string; and A search module, coupled to the voice module and the object database, and configured to compare the first object condition string with the at least one object feature to find the at least one object feature and the first object condition String the plurality of objects that meet each other within a predetermined condition to generate a search result containing a specific number of the plurality of objects; wherein, the proposed module is based on the object index of the plurality of objects in the search result Output the corresponding speech file, and the text-to-speech module converts each object speech in the speech file into the speech data corresponding to the object. The audio-interpreted house device described in item 2 of the scope of patent application, wherein the mutual agreement within the predetermined condition means that the first object condition string falls within a difference range of the characteristics of the at least one housing complex. According to the audio-interpreted house device described in item 3 of the scope of patent application, wherein the mutual agreement within the predetermined condition includes: (1) the first object condition string is a numerical value, the at least one housing group feature and the first If the object condition string is the same, the search result shows the object that completely matches; (2) The first object condition string is a numeric value, and the at least one housing group feature is different from the first object condition string, then the difference range is the The first object condition string plus or minus a range of a predetermined value, the search result shows some objects that match; (3) the first object condition string is text, and the at least one housing group feature is the same as the first object condition string , The search result shows an object that completely matches; and (4) the first object condition string is text, and the at least one housing group feature is different from the first object condition string, then the search result shows the at least one housing group An object whose feature is similar to the first object condition string. As described in item 4 of the scope of the patent application, the voice module is configured to receive a second voice object condition related to the at least one object feature, and according to the search In the context search, the second voice object condition is converted into a second object condition string by using the speech recognition phrase relative to the search context. The audio-guided house device described in item 5 of the scope of patent application, wherein the search module is configured to compare the second object condition string with the at least one of the plurality of objects in the search result that meets the matching conditions Object feature, find the plurality of objects that match the at least one housing group feature and the second object condition string within the predetermined condition, and generate a search result that includes one of the plurality of objects that meets the comparison condition, Wherein, if the search module compares the second object condition string with the at least one object feature of the plurality of objects in the search result that meets the matching condition, then finds the at least one housing group feature and the second If the object condition string matches the objects within the predetermined condition, the search module removes the non-conforming objects from the search result and presents the matching objects in the re-search result. The audio-interpreted house device described in item 6 of the scope of patent application, wherein the comparison of the second object condition string is to read the data generated by the comparison of the first object condition string from the cache data, There is no need to re-access the data in the object database. For example, the audio-guided house device described in item 6 of the scope of patent application, wherein the object database is further configured to store a saleable object data of each object, and the search module is configured to compare the matching conditions A plurality of objects and the saleable item data they have, and according to the number of the saleable item data in the plurality of objects that meet the matching conditions, the search results and the re-search results are sorted by the least Multiple objects. For example, the audio-guided house device described in item 6 of the scope of patent application, in which if the plurality of objects that meet the matching conditions do not have any saleable object data, the search results and the re-search results do not show that the matching conditions are met Of the plural objects. As described in item 5 of the scope of patent application, the feature of the at least one object is selected from the group consisting of: the number of houses, the age of the house, the status of a public facility, the number of households in the community to which an object belongs, a living function, and a house A group consisting of the number of pings, the orientation of a house, the number of floors of a house, and their combination.

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