Within the last several years, speech recognition has come a long way. It’s a powerful tool that can help businesses in a variety of industries increase levels of productivity and success. So how can your company benefit from harnessing speech recognition? Learn about seven innovative ways to use speech recognition in business below!

1. Get in Touch with Your Customers

At the end of the day, there’s nothing more important than what your customers think. How they perceive your brand is critical to your success or failure. That’s why it’s so important to gain a deep understanding of how they feel about your products, services, and business overall. Our speech recognition technology gives you the ability to better interpret your customers’ feelings by performing in-depth data mining on recorded calls, which ultimately provides a clearer overall picture of your business’ health.

2. Learn More About Your Customers

You can perform in-depth data mining on your audio and video files with our speech recognition technology to identify key demographic information about your customers, including gender, estimated age, language spoken, accent, emotion and sentiment, speech patterns, action items, and more. With such valuable information, you can craft marketing campaigns that are highly-targeted, increase sales and support performance, and more.

3. Monitor Your Support Team

When your clients contact your support team, you can assume it’s something important. As support team members field these calls, they must convey accurate information in a way that’s approachable, understandable, and on-brand. By utilizing the power of speech recognition to capture and analyze audio, tracking each client-support team member interaction becomes easy and can be used to better understand and monitor your representatives.

4. Identify Callers and Mitigate Risk

Our speech recognition solutions give you the ability to analyze audio using industry-leading voice biometrics, allowing your business to easily identify and authenticate each caller to better detect and mitigate fraud. This is especially important for industries such as Finance and Government.

5. Streamline Your Support Process

Recorded audio from your support calls holds the key to providing optimal support to your customers. After capturing customer interactions and analyzing the findings, you can precisely identify issues that people request help for the most and work to make the support process as optimized as possible.

6. Utilize Automatic Transcription to Save Time

If you have a business with a small staff and limited resources, productivity and efficiency are critical priorities. With the power of speech recognition, you can covert your audio and video files into accurate text and help automate processes like complaint analysis, call and caller categorization, demographic analysis, legal compliance, NPS analysis, and more.

7. Use Voice Data to Continuously Optimize

With such valuable data available, it’s important to analyze and optimize. Accurate voice data from customer interactions and support calls give you the opportunity to continuously grow and improve all your related workflows and business processes.

Ready to start using the power of speech recognition to advance your business? Reach out to our team of voice technology experts to learn more or to get started on your project by contacting us. In the meantime, check out our top-rated voice transcription services.

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With acquisition of a vast amount of knowledge in Artificial Intelligence and Machine Learning algorithms, and with their day by day smart usage, possibilities of enhancement on any of your modern applications are just tremendous. Azure Cognitive services are icing on the cake!

Since its inception, Microsoft Azure has always bagged so much into its kitty. And talking in particular about Azure Cognitive Services, the overall experience is just amazing! With smart use of APIs available in cognitive services, you can infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication.

With Azure Cognitive Services’ APIs, it becomes so easy to enhance your applications in 5 areas: vision, speech, language, knowledge and search, so you can take advantage of the possibilities that AI has to offer.

Let us understand in detail as what these APIs are offering us:

Vision

Vision makes it possible for apps and services to accurately identify and analyze content within images and videos. Providing APIs through which developers can process the image, either by uploading it or providing the image URL to analyze visual content to extract information.

1. Content Moderator

This features helps with the identification of explicit or offensive content moderation for images and videos. It makes sure we are displaying appropriate content in videos.

2. Computer Vision

This feature returns information about visual content found in an image, like a celebrity or landmark, scene and activity recognition, optical character recognition, and handwriting recognition.

3. Facial Recognition

It detects a human face with high precision face location in the image. It also detects facial attributes, gender, age, pose, hair, and more. It also helps in emotion and similar face recognition and grouping in images. It is extremely helpful with security and identity management.

4. Custom Vision

This service provides us with an API through which we can upload an image, build and train a custom image classifier.

5. Video Indexer

It is built using Azure Media Analytics, Cognitive Services, and Azure Search. It extracts information like speaker indexing, video/audio text recognition, object, scene and activity detection, translation, audio and key frame extraction, analysis and more.

Speech

Speech enables the integration of speech processing capabilities into any app or service. Convert spoken language into text or produce natural sounding speech from text using standard (or customizable) voice fonts.

1. Speech Translation

This provides real time speech to text translation in various languages on the fly as well as automated and Customizable translation.

2. Speaker Recognition

This is mainly used for speaker verification and identification

3. Speech-to-Text APIs

It allows automatic and customizable speech recognition and speech transcription (speech-to-text), as well as Customizable speech models for unique vocabularies or accents.

4. Text-to-Speech APIs

It allows Automatic and Customizable speech recognition and speech transcription (text- to- speech), as well as Customizable speech models for unique vocabularies or accents.

Language

Language services ensure that apps and services can understand the meaning of unstructured text or recognize the intent behind a speaker’s utterances.

1. Bing spell check

This API focusses on Web-scale, multi-lingual spell check and contextual grammar.

2. LUIS

Language Understanding Service processes the user’s natural conversational language and understands it to figure out the overall meaning for fetching relevant information.

3. Text Analytics

It works on text data and functions such as name, sentiment analysis, language detection, and key phrase extraction.

4. Translator Text

This API translates text in near real-time for more than sixty languages. It also supports Automatic language detection and text translation.

5. Linguistic Analysis

An NLP tool for identifying the structure of text such as sentence separation, tokenization, and parts of speech tagging.

Knowledge

It creates rich knowledge resources that can be integrated into apps and services with Knowledge services.

1.QnA Maker

This provides a service which helps in Knowledge creation from collections of Q&As. Q&A can also be extracted from unstructured text.

2. Custom Decision Service

This is a contextual decision-making API which creates the intelligent app and helps in Semantic matching for knowledge bases. It converts content for further processing for machine learning and tries to understand it in terms of an image, video, text, and more.

Search

Enable apps and services to harness the power of a web-scale, ad-free search engine with Search.

1. Bing News Search

This news search API provides ad-free news search results from a search query to Bing News. It also helps in the identification of trending topics.

2. Bing Web Search

 This API provides results which are location-based, ad-free and safe. They may include an image, video, web page, or news.

3. Bing Visual Search

This API helps the user in Identification of similar images and products, Websource identification and in Knowledge acquisition from images.

4. Bing Video Search

This is a video search engine which gives Ad Free Video search results from Bing Videos as well as also provide video topic and trend identification.

5. Bing Entity Search

This API mainly returns local results with named entity or classification like popular persons, hotels, restaurants, and more.

6. Bing Custom Search

It enables the developer to create tailored search experiences for specific topics and ad-free results.

7. Bing Image Search

This API returns with searched images related to a query search.

8. Bing Autosuggest

This API comes up with a list of suggested queries based on the partial query string the user enters in the search box.

Conclusion

Learning more and more about Azure Cognitive Services is interesting in itself. These services are very promising for anyone who is depending on ready-to-use APIs and wants to enhance and expand their applications, bringing the benefits of AI and Machine Learning into the products. These services are a perfect example as to why you should use the cloud and its intelligent services.

At Beyond Key, we have a team of Azure Cloud and services experts who have been busy infusing apps, websites, and chatbots with intelligent algorithms and building masterpiece applications. If you have any questions or a project idea in mind, we are just a message away! Contact us here or schedule a demo with one of our cloud experts, and we will get back to you in less than one business day.

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