CN109671436A - The method of intelligent sound identification address book contact name - Google Patents
The method of intelligent sound identification address book contact name Download PDFInfo
- Publication number
- CN109671436A CN109671436A CN201811495648.5A CN201811495648A CN109671436A CN 109671436 A CN109671436 A CN 109671436A CN 201811495648 A CN201811495648 A CN 201811495648A CN 109671436 A CN109671436 A CN 109671436A
- Authority
- CN
- China
- Prior art keywords
- address book
- phonetic
- contact
- name
- search
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000001755 vocal effect Effects 0.000 claims abstract description 8
- 238000004891 communication Methods 0.000 claims description 12
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 238000013473 artificial intelligence Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000012905 input function Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- 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
- G10L15/26—Speech to text systems
-
- 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
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/26—Devices for calling a subscriber
- H04M1/27—Devices whereby a plurality of signals may be stored simultaneously
- H04M1/274—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc
- H04M1/2745—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc using static electronic memories, e.g. chips
- H04M1/27467—Methods of retrieving data
- H04M1/2748—Methods of retrieving data by matching character strings
-
- 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
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/74—Details of telephonic subscriber devices with voice recognition means
Landscapes
- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Machine Translation (AREA)
Abstract
The invention discloses the methods of intelligent sound identification address book contact name, including following main steps: step 1: creation private database, database includes creation address book contact phonetic library and creation phonetic search address book contact ordering method;Step 2: user searches for contact person by verbal instructions, smart machine converts verbal instructions, is converted into textual form, obtains corresponding text search results;Step 3: text search results are converted into phonetic, the address book contact phonetic library in comparison database obtains corresponding contact person's search result.Compared with the name phonetic that the present invention facilitates voice to input is compared with associated databases, it is easy-to-look-up to arrive corresponding contact person, when encountering the multiple contact persons of unisonance, it can preferably be distinguished, contact person can be quickly searched, the time spent by artificial search is reduced, improves speech recognition name rate, speech recognition errors rate is reduced, to improve the experience of user.
Description
Technical field
The present invention relates to technical field of voice recognition, the specially method of intelligent sound identification address book contact name.
Background technique
Speech recognition technology is also referred to as automatic speech recognition, and target is the vocabulary Content Transformation in the voice by the mankind
For computer-readable input.
Field involved in speech recognition technology includes signal processing, pattern-recognition, probability theory and information theory, sound generating mechanism
With hearing mechanism, artificial intelligence etc..
With on the intelligent terminals such as mobile phone speech voice input function it is universal, user uses voice on the intelligent terminals such as mobile phone
The demand of input is more and more, and especially by the contact person in phonetic search address list, utilization rate is higher and higher.
However the method for existing voice search address book contact, it is not high enough that there are accuracys rate, user speech search experience
Bad problem.
Summary of the invention
The present invention provides the method for intelligent sound identification address book contact name, has more preferably intelligent search and contact
The advantages of people, it is not accurate enough to solve existing address list phonetic search contact identification, causes identification to be easy to happen mistake, makes
At the bad problem of user speech search experience.
The invention provides the following technical scheme: the method for intelligent sound identification address book contact name, including following masters
Step:
Step 1: creation private database, database includes creation address book contact phonetic library and creation phonetic search
Address book contact ordering method;
Step 2: user searches for contact person by verbal instructions, smart machine is converted into converting after speech recognition
Textual form, to obtain corresponding text search results;
Step 3: text search results are converted into phonetic, the address book contact phonetic library in comparison database, thus
Obtain corresponding contact person's search result;
Step 4: being based on phonetic search address book contact ordering method, multiple phonetic search contact person results are carried out
Intelligent sequencing, to conveniently obtain the contact person of verbal instructions meaning.
Preferred technical solution, creation address book contact phonetic library are first extracted address book contact name and are used to
Phonetic library is created, which further comprises:
Summarize all names of address list, for creating name text phonetic library;
Summarize all names of address list, creation name pinyin compares rule base.
Preferred technical solution, the creation phonetic search address book contact ordering method, first creates address book ordering
Rule, which further comprises:
Creation is grouped the ordering rule of display contact person according to address list;
Create the ordering rule according to communication contact person communication frequency.
Preferred technical solution, the comparison in the third step obtain search result the following steps are included:
The phonetic of text search results is matched with name pinyin comparison rule base, obtains corresponding by the first step
With angle value;
Second step, by judging matching angle value;
Third step, when matching angle value is greater than the set value, it is possible that multiple results or single as a result, multiple when occurring
When as a result, main four step of step the is leapt to, when there is single result, phonetic search is confirmed as and is calculated as a result, terminating;
4th step judges the matching angle value again;
5th step, when matching angle value is greater than the set value, it is possible that multiple results or single as a result, multiple when occurring
When as a result, main four step of step the is leapt to, when there is single result, phonetic search is confirmed as and is calculated as a result, terminating;
6th step is defaulted as not searching corresponding contact person when matching angle value lower than setting value, automatic to terminate meter
It calculates.
Preferred technical solution, the intelligent sequencing rule further progress of the 4th step, which extends, includes:
The ordering rule sequence of display contact person is grouped according to address list;
It is sorted according to the ordering rule of address book contact communication frequency;
By artificial intelligence mode, ranking results sequence is automatically generated.
Preferred technical solution, the comparison rule of the phonetic comparison rule base, which extend, includes:
Being considered as identical alphabetical library includes:
f≈h;
N ≈ l, such as: Hunan ≈ Forlan;
r≈l;
z≈zh;
C≈ch;
S≈sh;
an≈ang;
en≈eng;
in≈ing;
ian≈iang;
uan≈uang;
User can add new same letter data manually.
Preferred technical solution, the setting of the matching angle value are considered as when matching angle value reaches presetting matching value
Successful match.
The present invention have it is following the utility model has the advantages that
The method that the intelligent sound identifies address book contact name, the name phonetic and corresponding data for facilitating voice to input
Library, which compares, compares, easy-to-look-up to arrive corresponding contact person, when encountering the multiple contact persons of unisonance, can preferably carry out area
Not, contact person can be quickly searched, the time spent by artificial search is reduced, improves speech recognition name rate, reduce voice
Error rate is identified, to improve the experience of user.
Detailed description of the invention
Fig. 1 is speech recognition flow chart of the present invention;
Fig. 2 is database sharing figure of the present invention;
Fig. 3 is speech recognition process decision chart of the present invention;
Fig. 4 is contact person of the present invention sequence familygram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the method for intelligent sound identification address book contact name, including following main steps:
Step 1: creation private database, database includes creation address book contact phonetic library and creation phonetic search
Address book contact ordering method;
Step 2: user searches for contact person by verbal instructions, smart machine is converted into converting after speech recognition
Textual form, to obtain corresponding text search results;
Step 3: text search results are converted into phonetic, the address book contact phonetic library in comparison database, thus
Obtain corresponding contact person's search result;
Step 4: being based on phonetic search address book contact ordering method, multiple phonetic search contact person results are carried out
Intelligent sequencing, to conveniently obtain the contact person of verbal instructions meaning.
Fig. 1 and 2 is please referred to, address book contact phonetic library is created, address book contact name is first extracted and is used to create spelling
Sound library, which further comprises:
Summarize all names of address list, for creating name text phonetic library, by the creation in name text phonetic library,
Data inside the name pinyin for facilitating voice to convert and the phonetic library compare between carrying out, easy-to-look-up to suitable connection
People;
Summarize all names of address list, creation name pinyin compares rule base, compares rule base by phonetic and conveniently mentions
For comparison rule, the phonetic of voice converting text is facilitated to be compared with the name pinyin in rule base, to obtain corresponding
With angle value, it is worth corresponding query result by matching degree, facilitates the operation for completing next step;
The comparison rule of phonetic comparison rule base, which extend, includes:
Being considered as identical alphabetical library includes:
f≈h;
N ≈ l, such as: Hunan ≈ Forlan;
r≈l;
z≈zh;
C≈ch;
S≈sh;
an≈ang;
en≈eng;
in≈ing;
ian≈iang;
uan≈uang;
User can add new same letter data manually.
Phonetic search address book contact ordering method is created, address book ordering rule, address book ordering rule are first created
Then further comprise:
Creation according to address list be grouped display contact person ordering rule, such as: the rule can be household → colleague →
Friend → classmate;
The ordering rule according to communication contact person communication frequency is created, which may is that
[from high to low] option
[from low to high] option
[only calculating the telephonic communication frequency] option
[only calculating the message communication frequency] option
Other options.
By the setting of rule base, the sequence of search contact person is conveniently obtained, facilitates carry out Effective selection, facilitates similar
The lower user's screening of rate is gone down, and most matched user is lifted to extreme higher position.
Please refer to Fig. 1 and 3, the comparison in third step obtain search result the following steps are included:
The phonetic of text search results is matched with name pinyin comparison rule base, obtains corresponding by the first step
With angle value;
Second step matches the setting of angle value, when matching angle value reaches presetting by judging matching angle value
When with value, it is considered as successful match;
Third step, when matching angle value is greater than the set value, it is possible that multiple results or single as a result, multiple when occurring
When as a result, main four step of step the is leapt to, when there is single result, phonetic search is confirmed as and is calculated as a result, terminating;
4th step judges the matching angle value again;
5th step, when matching angle value is greater than the set value, it is possible that multiple results or single as a result, multiple when occurring
When as a result, main four step of step the is leapt to, when there is single result, phonetic search is confirmed as and is calculated as a result, terminating;
6th step is defaulted as not searching corresponding contact person when matching angle value lower than setting value, automatic to terminate meter
It calculates.
Fig. 1 and 4 are please referred to, the intelligent sequencing rule further progress extension of the 4th step includes:
The ordering rule sequence of display contact person is grouped according to address list;
It is sorted according to the ordering rule of address book contact communication frequency;
By artificial intelligence mode, automatic production scheduling sort result.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (7)
1. the method for intelligent sound identification address book contact name, which is characterized in that including following main steps:
Step 1: creation private database, database includes creation address book contact phonetic library and creation phonetic search communication
Record contact sequencing method;
Step 2: user searches for contact person by verbal instructions, smart machine is converted into text to converting after speech recognition
Form, to obtain corresponding text search results;
Step 3: text search results are converted into phonetic, the address book contact phonetic library in comparison database, to obtain
Corresponding contact person's search result;
Step 4: being based on phonetic search address book contact ordering method, intelligence is carried out to multiple phonetic search contact person results
Sequence, to conveniently obtain the contact person of verbal instructions meaning.
2. the method for intelligent sound identification address book contact name according to claim 1, it is characterised in that: the wound
Address book contact phonetic library is built, address book contact name is first extracted and is used to create phonetic library, which further comprises:
Summarize all names of address list, for creating name text phonetic library;
Summarize all names of address list, creation name pinyin compares rule base.
3. the method for intelligent sound identification address book contact name according to claim 1, it is characterised in that: the wound
Phonetic search address book contact ordering method is built, address book ordering rule is first created, address book ordering rule is further wrapped
It includes:
Creation is grouped the ordering rule of display contact person according to address list;
Create the ordering rule according to communication contact person communication frequency.
4. the method for intelligent sound according to claim 1 identification address book contact name, it is characterised in that: described the
Comparison in three steps obtain search result the following steps are included:
The phonetic of text search results is matched with name pinyin comparison rule base, obtains corresponding matching degree by the first step
Value;
Second step, by judging matching angle value;
Third step, when matching angle value is greater than the set value, it is possible that multiple results or single as a result, when there are multiple results
When, main four step of step the is leapt to, when there is single result, phonetic search is confirmed as and is calculated as a result, terminating;
4th step judges the matching angle value again;
5th step, when matching angle value is greater than the set value, it is possible that multiple results or single as a result, when there are multiple results
When, main four step of step the is leapt to, when there is single result, phonetic search is confirmed as and is calculated as a result, terminating;
6th step is defaulted as not searching corresponding contact person when matching angle value lower than setting value, and automatic terminate calculates.
5. the method for intelligent sound according to claim 1 identification address book contact name, it is characterised in that: described the
The intelligent sequencing rule further progress of four steps extends
The ordering rule sequence of display contact person is grouped according to address list;
It is sorted according to the ordering rule of address book contact communication frequency;
By artificial intelligence mode, ranking results sequence is automatically generated.
6. the method for intelligent sound identification address book contact name according to claim 2, it is characterised in that: the spelling
The comparison rule of sound comparison rule base, which extend, includes:
Being considered as identical alphabetical library includes:
f≈h;
N ≈ l, such as: Hunan ≈ Forlan;
r≈l;
z≈zh;
C≈ch;
S≈sh;
an≈ang;
en≈eng;
in≈ing;
ian≈iang;
uan≈uang;
User can add new same letter data manually.
7. the method for intelligent sound identification address book contact name according to claim 4, it is characterised in that: described
Setting with angle value is considered as successful match when matching angle value reaches presetting matching value.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811495648.5A CN109671436A (en) | 2018-12-07 | 2018-12-07 | The method of intelligent sound identification address book contact name |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811495648.5A CN109671436A (en) | 2018-12-07 | 2018-12-07 | The method of intelligent sound identification address book contact name |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109671436A true CN109671436A (en) | 2019-04-23 |
Family
ID=66144220
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811495648.5A Pending CN109671436A (en) | 2018-12-07 | 2018-12-07 | The method of intelligent sound identification address book contact name |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109671436A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112153206A (en) * | 2020-09-23 | 2020-12-29 | 北京百度网讯科技有限公司 | Contact person matching method and device, electronic equipment and storage medium |
CN112364212A (en) * | 2020-11-04 | 2021-02-12 | 北京致远互联软件股份有限公司 | Voice name recognition method based on approximate voice recognition |
CN112581954A (en) * | 2020-12-01 | 2021-03-30 | 杭州九阳小家电有限公司 | High-matching voice interaction method and intelligent equipment |
CN113094470A (en) * | 2021-04-08 | 2021-07-09 | 蔡堃 | Text searching method and system |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101330687A (en) * | 2008-06-10 | 2008-12-24 | 中兴通讯股份有限公司 | Method for matching numbers according to call frequency and mobile phone |
CN102148886A (en) * | 2010-02-09 | 2011-08-10 | 北京数字天域科技有限责任公司 | Method for sorting contact list in mobile phone address book |
CN102946463A (en) * | 2012-11-01 | 2013-02-27 | 广东欧珀移动通信有限公司 | Classification method and system for address list |
CN104238991A (en) * | 2013-06-21 | 2014-12-24 | 腾讯科技(深圳)有限公司 | Voice input matching method and voice input matching device |
CN105187656A (en) * | 2015-09-23 | 2015-12-23 | 百度在线网络技术(北京)有限公司 | Address list contact person matching method and device |
CN105489220A (en) * | 2015-11-26 | 2016-04-13 | 小米科技有限责任公司 | Method and device for recognizing speech |
CN105721651A (en) * | 2016-01-19 | 2016-06-29 | 海信集团有限公司 | Voice dialing method and device |
CN107707745A (en) * | 2017-09-25 | 2018-02-16 | 百度在线网络技术(北京)有限公司 | Method and apparatus for extracting information |
-
2018
- 2018-12-07 CN CN201811495648.5A patent/CN109671436A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101330687A (en) * | 2008-06-10 | 2008-12-24 | 中兴通讯股份有限公司 | Method for matching numbers according to call frequency and mobile phone |
CN102148886A (en) * | 2010-02-09 | 2011-08-10 | 北京数字天域科技有限责任公司 | Method for sorting contact list in mobile phone address book |
CN102946463A (en) * | 2012-11-01 | 2013-02-27 | 广东欧珀移动通信有限公司 | Classification method and system for address list |
CN104238991A (en) * | 2013-06-21 | 2014-12-24 | 腾讯科技(深圳)有限公司 | Voice input matching method and voice input matching device |
CN105187656A (en) * | 2015-09-23 | 2015-12-23 | 百度在线网络技术(北京)有限公司 | Address list contact person matching method and device |
CN105489220A (en) * | 2015-11-26 | 2016-04-13 | 小米科技有限责任公司 | Method and device for recognizing speech |
CN105721651A (en) * | 2016-01-19 | 2016-06-29 | 海信集团有限公司 | Voice dialing method and device |
CN107707745A (en) * | 2017-09-25 | 2018-02-16 | 百度在线网络技术(北京)有限公司 | Method and apparatus for extracting information |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112153206A (en) * | 2020-09-23 | 2020-12-29 | 北京百度网讯科技有限公司 | Contact person matching method and device, electronic equipment and storage medium |
CN112153206B (en) * | 2020-09-23 | 2022-08-09 | 阿波罗智联(北京)科技有限公司 | Contact person matching method and device, electronic equipment and storage medium |
CN112364212A (en) * | 2020-11-04 | 2021-02-12 | 北京致远互联软件股份有限公司 | Voice name recognition method based on approximate voice recognition |
CN112581954A (en) * | 2020-12-01 | 2021-03-30 | 杭州九阳小家电有限公司 | High-matching voice interaction method and intelligent equipment |
CN112581954B (en) * | 2020-12-01 | 2023-08-04 | 杭州九阳小家电有限公司 | High-matching voice interaction method and intelligent device |
CN113094470A (en) * | 2021-04-08 | 2021-07-09 | 蔡堃 | Text searching method and system |
CN113094470B (en) * | 2021-04-08 | 2022-05-24 | 蔡堃 | Text searching method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109671436A (en) | The method of intelligent sound identification address book contact name | |
EP1585030B1 (en) | Automatic Capitalization Through User Modeling | |
CN106407178B (en) | A kind of session abstraction generating method, device, server apparatus and terminal device | |
CN108564953B (en) | Punctuation processing method and device for voice recognition text | |
CN103456297B (en) | A kind of method and apparatus of speech recognition match | |
CN100578539C (en) | Automatic question-answering method and system | |
CN102867512A (en) | Method and device for recognizing natural speech | |
CN105354199B (en) | A kind of recognition methods of entity meaning and system based on scene information | |
US20040163035A1 (en) | Method for automatic and semi-automatic classification and clustering of non-deterministic texts | |
CN110020422A (en) | The determination method, apparatus and server of Feature Words | |
CN110147421B (en) | Target entity linking method, device, equipment and storage medium | |
CN109918485A (en) | The method and device of speech recognition vegetable, storage medium, electronic device | |
CN102867511A (en) | Method and device for recognizing natural speech | |
CN109815310B (en) | Voice processing method, device, storage medium and terminal | |
CN100504857C (en) | Method and apparatus for document filtering capable of efficiently extracting document matching to searcher's intention using learning data | |
CN106383836A (en) | Ascribing actionable attributes to data describing personal identity | |
CN106205613B (en) | A kind of navigation audio recognition method and system | |
JP2018501540A (en) | Stopword identification method and apparatus | |
US20040006460A1 (en) | System and method for problem solution support, and medium storing a program therefor | |
CN108803890A (en) | A kind of input method, input unit and the device for input | |
CN108536680A (en) | A kind of acquisition methods and device of house property information | |
CN109284362B (en) | Content retrieval method and system | |
CN110265019A (en) | A kind of method and speech robot people's system of speech recognition | |
CN106844734B (en) | Method for automatically generating session reply content | |
CN110196635B (en) | Gesture input method based on wearable equipment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190423 |