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Azure AI Speech

Azure AI Speech
Formerly Azure Cognitive Speech Services

Overview

What is Azure AI Speech?

The Azure AI Speech service provides a range of speech recognition and generation capabilities including speech transcription, text-to-speech and speech translation. It provides a range of speech recognition and generation capabilities including speech transcription, text-to-speech, speech translation, and speaker recognition.

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Awards

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Pricing

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Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://azure.microsoft.com/en…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $1 per month
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Product Details

What is Azure AI Speech?

The Speech service is the unification of speech-to-text, text-to-speech, and speech-translation into a single Azure subscription. It's speech capabilities enable applications, tools, and devices with the Speech CLI, Speech SDK, Speech Devices SDK, Speech Studio, or REST APIs.

Services include:

Speech to Text - Transcribe audio in more than 92 languages and variants. Gain customer insights with call center transcription, improve experiences with voice-enabled assistants, and capture key discussions in meetings.

Text to Speech - Create apps and services that speak conversationally, choosing from more than 215 voices, and 60 languages and variants. Create natural-sounding audio content, improve accessibility with read-aloud functionality, and create custom voice assistants.

Speech Translation - Translate audio from more than 30 languages and customize translations for organization's specific terms in a preferred programming language.

Speaker Recognition - Confirm a person's identity or recognize who's speaking in a meeting by adding speaker verification and identification to an app.

Custom Commands - Users can build a touchless, voice-first experience to improve safety and support back-to-work scenarios.

Custom Keywords - Custom keyword for IoT devices and voice-enabled assistants to set your brand apart—making it more personal, personable, and secure.

Azure AI Speech Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

The Azure AI Speech service provides a range of speech recognition and generation capabilities including speech transcription, text-to-speech and speech translation. It provides a range of speech recognition and generation capabilities including speech transcription, text-to-speech, speech translation, and speaker recognition.

Azure AI Speech starts at $1.

The most common users of Azure AI Speech are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(16)

Attribute Ratings

Reviews

(1-2 of 2)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
There are two main uses for this product within our organisation as of yet, firstly: we use the accurate voice analysis with custom speech models in lectures to ensure our lectures are accessible to students with hearing-related accessibility issues, mostly through live text translation. Secondly, students are able to use this service and integrate its functionality into their application development during projects within their computing degrees.
  • It implements accurate voice analysis which can be improved with customised speech models
  • Affordable
  • Doesn't have to be run online/ can be run and stored locally
  • It can be quite difficult to set up
  • Speech recognition is occasionally inaccurate
  • It sometimes struggles with non-native English speakers' accents
This service is well suited for scenarios where you need to integrate text-to-speech and/or speech-to-text into applications. Within our organisation, it is primarily used by students for development purposes to enable said functionality but is also used to provide accessibility to students who have hearing-related issues. Its multi-language support is also beneficial for our international students who have English as a second language and are therefore able to rapidly translate any text or speech that they do not understand.
  • Accurate speech detection and transcription
  • Live speech detection functionality
  • Easy deployment
  • Increased accessibility of our lectures for students
  • Reduced the time required by lectures to introduce CC captions to remote lectures during the COVID-19 pandemic
Having used both this service and IBM Watson's Text to Speech, I can safely say that IBM's product comes out on top but this is a close call as both products are very good in their own right. That being said, this Azure service lacks some of the extra functionality that can be found in other products such as broader multi-language support. This product is also more costly than some other alternatives which is a con in my opinion. Azure does, however, come out on top in regards to customer support and general support of the product as it is supported by Microsoft which also means that it integrates well with other parts of the Microsoft suite.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We have been using chatbots within our organisation for several years. Our users have been asking whether it is possible to have a simulated 'voice conversation' with a chatbot (i.e., the user speaks into their microphone, which is converted into text and passed to the chatbot, which returns a text response which is synthesised into speech). We have recently been using Azure Cognitive Speech Services to handle speech-to-text and text-to-speech elements of interacting with a chatbot.
  • Accurate speech-to-text
  • Realistic 'voice' when using text-to-speech
  • Customisable 'voices' for text-to-speech
  • Occasionally, words in text-to-speech are not pronounced correctly
  • Sometimes the speech recognition is inaccurate
  • We have many non-native English speakers in our organisation, and the speech recognition occasionally struggles to understand certain words spoken in different accents
It is well suited for scenarios where there is a requirement to integrate speech-to-text and text-to-speech into user interaction, for example, with chatbots used internally at a large enterprise. We have also investigated the use of Azure Cognitive Speech Services for live captions during meetings and presentations and the additional translation of these captions from English into German.
  • Accurate speech recognition
  • Realistic synthesized text-to-speech 'voices'
  • Ability to translate speech and text from English to German and vice-versa
  • Live captions during meetings and presentations
  • Positive user response
  • Increased usage of internal enterprise chatbots
  • Improved accessibility and inclusivity for sight-impaired users
Azure Bot Service (Microsoft Bot Framework), Microsoft Teams, Microsoft Azure
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