1. A method to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the method comprises steps of: receiving, through a microphone, an audio content of the TV advertisement; acquiring, at a microprocessor, the received audio content; identifying, a Sanskrit text, from the acquired audio content; generating a query in response to the identified Sanskrit text; executing the generated query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts, wherein each of the pre-stored Sanskrit text corresponds to at least one excerpt; filtering, the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text; selecting, a first excerpt from the identified one or more optimum excerpts; and displaying, at the TV screen, the selected first excerpt for the TV advertisement.

2. The method as claimed in claim 1, wherein the microprocessor selects the first excerpt based on a criterion, which is selected from a contextual relevance, length, and language complexity.

3. The method as claimed in claim 1, wherein the microprocessor determines a display count for the TV advertisement.

4. The method as claimed in claim 3, wherein the microprocessor manages the selection of the first excerpt, based on the determined display count.

5. The method as claimed in claim 1, wherein the microprocessor receives an excerpt recitation input from a user through an input mechanism.

6. The method as claimed in claim 5, wherein the microprocessor enables recitation of the selected first excerpt by suppressing the audio content of the TV advertisement, based on the received excerpt recitation input.

7. A system to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the system comprises: a microphone is arranged to receive an audio content of the TV advertisement; a control unit is arranged to: acquire the received audio content; identify, a Sanskrit text, from the acquired audio content; generate a query in response to the identified Sanskrit text; execute query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts, wherein each of the pre-stored Sanskrit text corresponds to at least one excerpt; filter the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text; selecting, a first excerpt from the identified one or more optimum excerpts; and control unit to manage the TV screen to display the selected first excerpt for the TV advertisement.

8. The device of claim 7, wherein the control unit determines a display count for the TV advertisement.

9. The device of claim 8, wherein the control unit manages the selection of the first excerpt, based on the determined display count.

10. The device of claim 7, wherein control unit receives an excerpt recitation input from a user through an input mechanism. FETCHING SANSKRIT EXCERPT FOR AN ADVERTISEMENT Abstract The steps of receiving, via microphone, an audio content of the TV advertising is one example of an embodiment of the present disclosure that might be used to show a Sanskrit extract at a television (TV) screen for a TV advertisement. Obtaining the received sound data at a microprocessor is also a possibility in certain embodiments. Identifying a Sanskrit text from the recorded audio material is another possible embodiment. Depending on the detected Sanskrit text, embodiments may additionally include producing an inquiry. In certain implementations, the created query is used to search a database of pre-stored Sanskrit texts for the desired extracts. Each of the Sanskrit texts that have been saved in advance may be associated with at least one snippet in certain implementations. Embodiments may also include filtering, the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text. s:

1. A method to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the method comprises steps of: receiving, through a microphone, an audio content of the TV advertisement; acquiring, at a microprocessor, the received audio content; identifying, a Sanskrit text, from the acquired audio content; generating a query in response to the identified Sanskrit text; executing the generated query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts, wherein each of the pre-stored Sanskrit text corresponds to at least one excerpt; filtering, the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text; selecting, a first excerpt from the identified one or more optimum excerpts; and displaying, at the TV screen, the selected first excerpt for the TV advertisement.

2. The method as claimed in claim 1, wherein the microprocessor selects the first excerpt based on a criterion, which is selected from a contextual relevance, length, and language complexity.

3. The method as claimed in claim 1, wherein the microprocessor determines a display count for the TV advertisement.

4. The method as claimed in claim 3, wherein the microprocessor manages the selection of the first excerpt, based on the determined display count.

5. The method as claimed in claim 1, wherein the microprocessor receives an excerpt recitation input from a user through an input mechanism.

6. The method as claimed in claim 5, wherein the microprocessor enables recitation of the selected first excerpt by suppressing the audio content of the TV advertisement, based on the received excerpt recitation input.

7. A system to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the system comprises: a microphone is arranged to receive an audio content of the TV advertisement; a control unit is arranged to: acquire the received audio content; identify, a Sanskrit text, from the acquired audio content; generate a query in response to the identified Sanskrit text; execute query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts, wherein each of the pre-stored Sanskrit text corresponds to at least one excerpt; filter the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text; selecting, a first excerpt from the identified one or more optimum excerpts; and control unit to manage the TV screen to display the selected first excerpt for the TV advertisement.

8. The device of claim 7, wherein the control unit determines a display count for the TV advertisement.

9. The device of claim 8, wherein the control unit manages the selection of the first excerpt, based on the determined display count.

10. The device of claim 7, wherein control unit receives an excerpt recitation input from a user through an input mechanism.

Field of the Invention
[0001] The present invention relates generally to natural language processing and machine learning, more particularly, to system and method to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement.

Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Television has been considered as the most effective media for advertisement of products and services. These advertisements are much more targeted, based on likes and followings of customers. However, audio-based recognition of Sanskrit words or text and semantics thereof, has been missing in the art. Since, the techniques were unable to generate equivalent words in a desired language, according to the morphological analysis, it is imperatively impossible to retrieve Sanskrit excerpts from the received audio signal associated with an advertisement. The sequential order of the parts-of-speech in Sanskrit language was not retrievable, since appropriate techniques were missing in the art.
[0004] Lacking in the art is a means for identification of Sanskrit text. Since length and relevance, and language complexity makes it increasingly difficult to provide excerpts based identified Sanskrit text. Sanskrit language is independent of word-order. As an epitome of illustration, if words in an original Sanskrit phrase or sentence, are jumbled, however, there might be no change in the semantics of the resulting sentence and would still mean the same as the original Sanskrit phrase or sentence.
[0005] Further, prior art techniques did not employ a standard model for recognition of Sanskrit text. For example, variation in lexical rule of each language is distinct. Thus, prior art techniques were unable to extract semantics of words in a language for providing Sanskrit excerpts for the same. It was also not feasible to recite Sanskrit excerpt by masking the audio content of the TV advertisement.
[0006] There are certain patent documents which cater similar segment and filed in different jurisdictions. Few exemplary patent documents are illustrated below.
[0007] US20060074753A1 (By: KIMBERLY CLARK WORLDWIDE) provides interstitial advertising during computer-enabled print time for a network-based coupon provider includes a first step of providing a coupon provision application via a network-accessible website interface, wherein the coupon provision application provides features by which a user can select various coupons for printing. Input from a user then generates a trigger signal representative of the desired coupons for printing (e.g., a selection of total coupons or a command to print the selected coupons). Upon receipt of this trigger signal, the desired coupons are printed while an interstitial advertisement or interactive display is also implemented in a substantially simultaneous fashion. Such advertisement or interactive communication may correspond to an interface for newsletter signup, an interactive survey or opinion poll, an interactive game with incentive prizes, a local information display, a static or rich media brand message or initiated web page, a music download offer with audio excerpt, and/or a screen saver with integrated sales or brand message.
[0008] AU2009229120B2 (By: MICROSOFT TECHNOLOGY LICENSING) disclose media and system are provided for customizing ads for delivery based on features in a web page. Text in a web page is evaluated to determine the sentiment of the web page. The sentiment can be based on the overall web page or on individual blocks of text within the web page. Based on the sentiment, an ad is created from the text in the web page. The resulting ad is rendered in the web page and shown to a user.
[0009] US10755300B2 (By: ORACLE) relates to a system for collecting and presenting information about advertising analytics comprises an ad preparation server, an ad server and an analytics server. The ad preparation server receives advertising assets (e.g., ads) and modifies them to include a data collection script. The preparation server then sends the modified ads to the ad server for delivery along with underlying content to users. The underlying content and modified ads are delivered to client devices that present the content and execute the data collection script. The data collection script collects and sends advertising analytic data back to the analytics server in a non-intrusive manner. The present invention also includes a method for preparing ads, a method for deriving a heat map, a method for generating and sending advertising data, and a method for generating a representation of a focus of attention for a user.
[00010] CA2693675A1 (By: EBAY) describes contextual advertising and merchandizing based on user configurable preferences is disclosed. The system in an example embodiment includes an advertising (ad) preferences service to obtain user preference information related to advertising, enable user configuration of the user preference information related to advertising, and modify the presentation of advertising to the user based upon the user configured preference information.
[00011] Thus, there exists a need in the art for providing Sanskrit excerpt in response to received audio content of the TV advertisement.
[00012] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary of the Invention
[00013] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00014] The present invention relates generally to natural language processing and machine learning, more particularly, to system and method to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement.
[00015] Embodiments of the present disclosure may include a method to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the method may include steps of receiving, through a microphone, an audio content of the TV advertisement. Embodiments may also include acquiring, at a microprocessor, the received audio content. Embodiments may also include identifying, a Sanskrit text, from the acquired audio content.
[00016] Embodiments may also include generating a query in response to the identified Sanskrit text. Embodiments may also include executing the generated query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that may include the multiple pre-stored Sanskrit texts. In some embodiments, each of the pre-stored Sanskrit text corresponds to at least one excerpt.
[00017] Embodiments may also include filtering, the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text. Embodiments may also include selecting, a first excerpt from the identified one or more optimum excerpts. Embodiments may also include displaying, at the TV screen, the selected first excerpt for the TV advertisement.
[00018] In some embodiments, the microprocessor selects the first excerpt based on a criterion, which may be selected from a contextual relevance, length, and language complexity. In some embodiments, the microprocessor determines a display count for the TV advertisement. In some embodiments, the microprocessor manages the selection of the first excerpt, based on the determined display count. In some embodiments, the microprocessor receives an excerpt recitation input from a user through an input mechanism. In some embodiments, the microprocessor enables recitation of the selected first excerpt by supressing the audio content of the TV advertisement, based on the received excerpt recitation input.
[00019] Embodiments of the present disclosure may also include a system to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the system may include a microphone may be arranged to receive an audio content of the TV advertisement. Embodiments may also include a control unit may be arranged to acquire the received audio content.
[00020] Embodiments may also include identify, a Sanskrit text, from the acquired audio content. Embodiments may also include generate a query in response to the identified Sanskrit text. Embodiments may also include execute query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that may include the multiple pre-stored Sanskrit texts.
[00021] In some embodiments, each of the pre-stored Sanskrit text corresponds to at least one excerpt. Embodiments may also include filter the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text. Embodiments may also include selecting, a first excerpt from the identified one or more optimum excerpts. Embodiments may also include control unit to manage the TV screen to display the selected first excerpt for the TV advertisement.
[00022] In some embodiments, the control unit determines a display count for the TV advertisement. In some embodiments, the control unit manages the selection of the first excerpt, based on the determined display count. Embodiments may also include control unit receives an excerpt recitation input from a user through an input mechanism.
[00023] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

Brief Description of the Drawings
[00024] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00025] FIG. 1 is a flowchart illustrating a method for fetching Sanskrit excerpt for an advertisement, according to some embodiments of the present disclosure.
[00026] FIG. 2 is a block diagram illustrating a system fetching Sanskrit excerpt for an advertisement, according to some embodiments of the present disclosure.

Detailed Description
[00027] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00028] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00029] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00030] The present invention relates generally to natural language processing and machine learning, more particularly, to system and method to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement.
[00031] FIG. 1 is a flowchart that describes a method, according to some embodiments of the present disclosure. In some embodiments, at 110, the method may include receiving, through a microphone, an audio content of the TV advertisement. At 120, the method may include acquiring, at a microprocessor, the received audio content. At 130, the method may include identifying, a Sanskrit text, from the acquired audio content. At 140, the method may include generating a query in response to the identified Sanskrit text.
[00032] In some embodiments, at 150, the method may include executing the generated query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts. At 160, the method may include selecting, a first excerpt from the identified one or more optimum excerpts. At 170, the method may include displaying, at the TV screen, the selected first excerpt for the TV advertisement. Steps of, the method may include 110 to 170. Each of the pre-stored Sanskrit text may correspond to at least one excerpt. Filtering, the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text.
[00033] In some embodiments, the microprocessor may select the first excerpt based on a criterion, which may be selected from a contextual relevance, length, and language complexity. In some embodiments, the microprocessor may determine a display count for the TV advertisement. In some embodiments, the microprocessor may manage the selection of the first excerpt, based on the determined display count. In some embodiments, the microprocessor may receive an excerpt recitation input from a user through an input mechanism. In some embodiments, the microprocessor may enable recitation of the selected first excerpt by supressing the audio content of the TV advertisement, based on the received excerpt recitation input.
[00034] FIG. 2 is a block diagram that describes a system 200, according to some embodiments of the present disclosure. In some embodiments, the system 200 may include a microphone 210 may be arranged to receive an audio content of the TV advertisement, a control unit 220 may be arranged to:, and control unit 230 to manage the TV screen to display the selected first excerpt for the TV advertisement. Acquire the received audio content. Identify, a Sanskrit text, from the acquired audio content. Generate a query in response to the identified Sanskrit text.
[00035] In some embodiments, execute query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that. The multiple pre-stored Sanskrit texts. Each of the pre-stored Sanskrit text may correspond to at least one excerpt. Filter the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text. Selecting, a first excerpt from the identified one or more optimum excerpts. In some embodiments, the control unit 230 may determine a display count for the TV advertisement. In some embodiments, the control unit 230 may manage the selection of the first excerpt, based on the determined display count. In some embodiments, control unit may receive an excerpt recitation input from a user through an input mechanism.
[00036] The steps of receiving, via microphone, an audio content of the TV advertising is one example of an embodiment of the present disclosure that might be used to show a Sanskrit extract at a television (TV) screen for a TV advertisement. Obtaining the received sound data at a microprocessor is also a possibility in certain embodiments. Identifying a Sanskrit text from the recorded audio material is another possible embodiment. Depending on the detected Sanskrit text, embodiments may additionally include producing an inquiry. In certain implementations, the created query is used to search a database of pre-stored Sanskrit texts for the desired extracts. Each of the Sanskrit texts that have been saved in advance may be associated with at least one snippet in certain implementations.
[00037] Filtering the set of Sanskrit excerpts collected to find the best one or more excerpts from the set retrieved is another option in certain embodiments. In certain implementations, the first extract is chosen among the best ones that have been determined. The chosen initial extract for the TV commercial may also be shown at the TV screen in certain embodiments. In certain implementations, the microprocessor chooses the first excerpt according to various criteria, such as the significance of the context, the length of the excerpt, or the difficulty of the language. Sometimes, the number of times the commercial will air is calculated by the embedded CPU. If the number of displays is known, the computer can handle the initial excerpt selection. In other implementations, the user inputs an extract recitation into the CPU through an input device.
[00038] According to certain implementations, when the microprocessor receives the excerpt recitation input, it mutes the TV commercial's audio to make way for the recitation of the chosen first excerpt. A microphone may be set up to pick up the audio content of a television commercial, and embodiments of the present disclosure may additionally comprise a system to show a Sanskrit snippet on a television (TV) screen for a TV commercial. A control unit that is set up to collect the transmitted audio material is also a possibility in certain embodiments. Identify, a Sanskrit text, may also be embodied if it can be deduced from the recorded audio. There are embodiments where a question is generated in response to the detected Sanskrit text.
[00039] The many pre-stored Sanskrit texts may be part of a database that is queried in embodiments to return a collection of Sanskrit excerpts. Each of the Sanskrit texts that have been saved in advance may be associated with at least one snippet in certain implementations. Filtering the obtained set of Sanskrit excerpts to find one or more optimal excerpts from the recovered collection of Sanskrit text is another possible embodiment. In certain implementations, the first extract is chosen among the best ones that have been determined. In certain implementations, a control device is used to direct the television set to play the commercial's chosen opening scene. The control unit, in certain implementations, counts the number of times the TV commercial has been shown and then uses that information to guide the selection of the first snippet. In certain implementations, a user provides input in the form of a recitation of an extract to a control unit.
[00040] Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.

Claims
I/We claims:

1. A method to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the method comprises steps of:
receiving, through a microphone, an audio content of the TV advertisement;
acquiring, at a microprocessor, the received audio content;
identifying, a Sanskrit text, from the acquired audio content;
generating a query in response to the identified Sanskrit text;
executing the generated query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts, wherein each of the pre-stored Sanskrit text corresponds to at least one excerpt;
filtering, the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text;
selecting, a first excerpt from the identified one or more optimum excerpts; and
displaying, at the TV screen, the selected first excerpt for the TV advertisement.
2. The method as claimed in claim 1, wherein the microprocessor selects the first excerpt based on a criterion, which is selected from a contextual relevance, length, and language complexity.
3. The method as claimed in claim 1, wherein the microprocessor determines a display count for the TV advertisement.
4. The method as claimed in claim 3, wherein the microprocessor manages the selection of the first excerpt, based on the determined display count.
5. The method as claimed in claim 1, wherein the microprocessor receives an excerpt recitation input from a user through an input mechanism.
6. The method as claimed in claim 5, wherein the microprocessor enables recitation of the selected first excerpt by suppressing the audio content of the TV advertisement, based on the received excerpt recitation input.
7. A system to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the system comprises:
a microphone is arranged to receive an audio content of the TV advertisement;
a control unit is arranged to:
acquire the received audio content;
identify, a Sanskrit text, from the acquired audio content;
generate a query in response to the identified Sanskrit text;
execute query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts, wherein each of the pre-stored Sanskrit text corresponds to at least one excerpt;
filter the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text; selecting, a first excerpt from the identified one or more optimum excerpts; and
control unit to manage the TV screen to display the selected first excerpt for the TV advertisement.

8. The device of claim 7, wherein the control unit determines a display count for the TV advertisement.

9. The device of claim 8, wherein the control unit manages the selection of the first excerpt, based on the determined display count.

10. The device of claim 7, wherein control unit receives an excerpt recitation input from a user through an input mechanism.

FETCHING SANSKRIT EXCERPT FOR AN ADVERTISEMENT
Abstract
The steps of receiving, via microphone, an audio content of the TV advertising is one example of an embodiment of the present disclosure that might be used to show a Sanskrit extract at a television (TV) screen for a TV advertisement. Obtaining the received sound data at a microprocessor is also a possibility in certain embodiments. Identifying a Sanskrit text from the recorded audio material is another possible embodiment. Depending on the detected Sanskrit text, embodiments may additionally include producing an inquiry. In certain implementations, the created query is used to search a database of pre-stored Sanskrit texts for the desired extracts. Each of the Sanskrit texts that have been saved in advance may be associated with at least one snippet in certain implementations. Embodiments may also include filtering, the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text.

I/We claims:

1. A method to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the method comprises steps of:
receiving, through a microphone, an audio content of the TV advertisement;
acquiring, at a microprocessor, the received audio content;
identifying, a Sanskrit text, from the acquired audio content;
generating a query in response to the identified Sanskrit text;
executing the generated query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts, wherein each of the pre-stored Sanskrit text corresponds to at least one excerpt;
filtering, the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text;
selecting, a first excerpt from the identified one or more optimum excerpts; and
displaying, at the TV screen, the selected first excerpt for the TV advertisement.
2. The method as claimed in claim 1, wherein the microprocessor selects the first excerpt based on a criterion, which is selected from a contextual relevance, length, and language complexity.
3. The method as claimed in claim 1, wherein the microprocessor determines a display count for the TV advertisement.
4. The method as claimed in claim 3, wherein the microprocessor manages the selection of the first excerpt, based on the determined display count.
5. The method as claimed in claim 1, wherein the microprocessor receives an excerpt recitation input from a user through an input mechanism.
6. The method as claimed in claim 5, wherein the microprocessor enables recitation of the selected first excerpt by suppressing the audio content of the TV advertisement, based on the received excerpt recitation input.
7. A system to display a Sanskrit excerpt at a television (TV) screen for a TV advertisement, the system comprises:
a microphone is arranged to receive an audio content of the TV advertisement;
a control unit is arranged to:
acquire the received audio content;
identify, a Sanskrit text, from the acquired audio content;
generate a query in response to the identified Sanskrit text;
execute query to retrieve a set of Sanskrit excerpts from a Sanskrit text database that comprises the multiple pre-stored Sanskrit texts, wherein each of the pre-stored Sanskrit text corresponds to at least one excerpt;
filter the retrieved set of Sanskrit excerpts to identify one or more optimum excerpts from the retrieved set of Sanskrit text; selecting, a first excerpt from the identified one or more optimum excerpts; and
control unit to manage the TV screen to display the selected first excerpt for the TV advertisement.

8. The device of claim 7, wherein the control unit determines a display count for the TV advertisement.

9. The device of claim 8, wherein the control unit manages the selection of the first excerpt, based on the determined display count.

10. The device of claim 7, wherein control unit receives an excerpt recitation input from a user through an input mechanism.