The Speech service is the unification of speech-to-text, text-to-speech,
and speech-translation into a single Azure subscription. It's easy to
speech enable your applications, tools, and devices with the Speech CLI,
Speech SDK, Speech Devices SDK, Speech Studio, or REST APIs.
Boost content discoverability, automate text extraction, analyze video in
real time, and create products that more people can use by embedding cloud
vision capabilities in your apps with Computer Vision, part of Azure
Cognitive Services. Use visual data processing to label content with
objects and concepts, extract text, generate image descriptions, moderate
content, and understand people's movement in physical spaces. No machine
learning expertise is required.
Azure Custom Vision is an image recognition service that lets you build,
deploy, and improve your own image identifiers. An image identifier
applies labels (which represent classes or objects) to images, according
to their visual characteristics. Unlike the Computer Vision service,
Custom Vision allows you to specify the labels and train custom models to
detect them.
The Text Analytics API is a cloud-based service that provides Natural
Language Processing (NLP) features for text mining and text analysis,
including: sentiment analysis, opinion mining, key phrase extraction,
language detection, and named entity recognition.
The Anomaly Detector API enables you to monitor and detect abnormalities
in your time series data without having to know machine learning. The
Anomaly Detector API's algorithms adapt by automatically identifying and
applying the best-fitting models to your data, regardless of industry,
scenario, or data volume. Using your time series data, the API determines
boundaries for anomaly detection, expected values, and which data points
are anomalies.
Language Understanding (LUIS) is a cloud-based conversational AI service
that applies custom machine-learning intelligence to a user's
conversational, natural language text to predict overall meaning, and pull
out relevant, detailed information.
QnA Maker is a cloud-based Natural Language Processing (NLP) service that
allows you to create a natural conversational layer over your data. It is
used to find the most appropriate answer for any input from your custom
knowledge base (KB) of information. QnA Maker is commonly used to build
conversational client applications, which include social media
applications, chat bots, and speech-enabled desktop applications.
Azure Form Recognizer is a cognitive service that lets you build automated
data processing software using machine learning technology. Identify and
extract text, key/value pairs, selection marks, tables, and structure from
your documents—the service outputs structured data that includes the
relationships in the original file, bounding boxes, confidence and more.
You quickly get accurate results that are tailored to your specific
content without heavy manual intervention or extensive data science
expertise. Use Form Recognizer to automate data entry in your applications
and enrich your documents search capabilities.
