Posts

Azure AI Search Solution: Understand Indexing Process

By Ashwin Venugopal -
Image
  Understand The Indexing Process For every indexed entity, a document is created as part of the indexing process. An enrichment pipeline produces the documents repeatedly during indexing, combining enriched fields retrieved by cognitive skills with metadata from the data source. You can think of each indexed document as a JSON structure, which initially consists of a document with the index fields you have mapped to fields extracted directly from the source data. You can set up the indexer to extract image data from documents in the data source and add each image to a collection called normalized_images. You can use the collection of photographs as an input for skills that extract information from image data by normalizing the image data in this manner. Every talent adds fields to the document. For instance, a skill that determines the language used in a document may store its result in a language field. The document is structured hierarchically, and the skills are applied to a sp...
Post a Comment
Read more

Azure AI Search Solution: Understand Search Components

By Ashwin Venugopal -
Image
  Introduction Each of the several parts that make up an AI search solution is crucial to the extraction, enrichment, indexing, and querying of data. Data Source The majority of search solutions begin with a data source that has the information you are looking for. Azure AI Search is compatible with a variety of data sources, including: Unstructured files in Azure blob storage containers. Tables in Azure SQL Database. Documents in Cosmos DB. Azure AI Search can pull data from these data sources for indexing. Alternatively, applications can push JSON data directly into an index, without pulling it from an existing data store. Skillset You may index the data taken from the data source in a simple search solution. The data source determines the information that can be extracted. For example, while indexing data in a database, the fields in the database tables may be extracted. Similarly, when indexing a collection of documents, the text content of the document many be extracted along...
Post a Comment
Read more

Create an Azure AI Search Solution (Part 2)

By Ashwin Venugopal -
Image
  Manage Capacity You must first build an Azure AI Search resource in your Azure subscription before you can develop an Azure AI Search solution. You might additionally require Azure resources for data storage and other application services, depending on the particular solution you want to develop. Service Tiers and Capacity Management When establishing an Azure AI Search resource, it is necessary to choose a pricing tier. The tier you choose dictates the capacity restrictions of your search service, the configuration options that are accessible to you, and the expense of the service. The available pricing tiers are: Free (F)- Use this tier to explore the service or try the tutorials in the product documentation. Basic (B)- Use this tier for small-scale search solutions that include a maximum of 15 indexes and 2 GB of index data. Standard (S)- Use this tier for enterprise-scale solutions. There are multiple variants of this tier, including S, S2, and S3; which offer increasing c...
Post a Comment
Read more

Create an Azure AI Search Solution (Part 1)

By Ashwin Venugopal -
Image
  Introduction Information is necessary for all companies to make choices, respond to inquiries, and operate effectively. For the majority of businesses, the issue is not a lack of information but rather the difficulty of locating and retrieving it from the vast collection of documents, databases, and other sources that contain it. For example, that Margie's Travel is a travel company that specializes in planning vacations to cities all over the world. The business has accumulated a substantial amount of data over time in papers like brochures and customer-submitted hotel reviews.  Although the sheer amount of data can make it challenging to locate pertinent information to address a particular client query, this data is a significant source of insights for travel agents and customers as they plan trips. To address this challenge, Margie's Travel can implement a solution in which the documents are indexed and made easy to search. This solution enables agents and customers t...
Post a Comment
Read more

Synthesize Translations

By Ashwin Venugopal -
Image
  Introduction The TranslationRecognizer provides transcriptions of spoken input that have been translated, effectively converting spoken language into text. Additionally, you can produce the translation as speech, enabling speech-to-speech translation options. There are two methods available to achieve this. Event-based Synthesis When you aim to conduct a 1:1 translation (translating from one source language directly into a single target language), you can utilize event-driven synthesis to capture the translation as an audio stream. To accomplish this, you must indicate the preferred voice for the translated speech in the TranslationConfig. Develop an event handler for the Synthesizing event of the TranslationRecognizer object. Within the event handler, employ the GetAudio() method from the Result parameter to obtain the byte stream of the translated audio. The exact code for creating an event handler differs depending on the programming language you are using. Manual Synthesis Ma...
Post a Comment
Read more

Translate Speech With Azure AI Speech Service

By Ashwin Venugopal -
Image
  Introduction By identifying and recording spoken input in a designated language and providing translations of the transcription in one or more other languages, translation of speech expands upon speech recognition. Provision an Azure Resource For Speech Translation The Azure AI Speech service offers comprehensive speech translation capabilities powered by machine learning and artificial intelligence, allowing developers to integrate real-time, end-to-end speech translation into their applications or services. You have the option to utilize either a dedicated Azure AI Speech resource or a multi-service Azure AI Services resource. Before you can use the service, you need to create an Azure AI Speech resource in your Azure subscription. After creating your Azure resource, you will need the following information to use it from a client application through one of the supported SDKs: The location in which the resource is deployed One of the keys assigned to your resource. You can view ...
Post a Comment
Read more

Audio Format And Voices

By Ashwin Venugopal -
Image
  Configure Audio Format and Voices When generating speech, a SpeechConfig object can be utilized to tailor the audio provided by the Azure AI Speech service. Audio Format The Azure AI Speech service offers various output formats for the audio stream produced by speech synthesis. You can select a format that aligns with your specific requirements: Audio file type Sample-rate Bit-depth The supported formats are indicated in the SDK using the SpeechSynthesisOutputFormat enumeration. Voices The Azure AI Speech service offers a variety of voices that can be utilized to customize your speech-enabled applications. There are two kinds of voice that you can use: Standard voices - synthetic voices created from audio samples. Neural voices - more natural sounding voices created using deep neural networks. Voices are identified by names that indicate a locale and a person's name Use Speech Synthesis Markup Language While the Azure AI Speech SDK enables you to submit plain text to be synthes...
Post a Comment
Read more