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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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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius 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

(1-7 of 7)
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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.
Johnson Martins | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Simplicity on the initial implementation of Azure Cognitive Speech Services is a big plus. The features' flexibility is very unique and customizing any function is simple. The software reaches with powerful tools with effective voice recognition ability and easy to manage record and other business data management through Cloud services, and even the engagement functions and also predictive data analytics from this solution are the best.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Azure Cognitive Speech Services to add speech to text, text to speech, and other AI-driven NLP-related speech services to our customised applications esp those involving chatbots for different business functions. The idea was to make use of speech services for mobile apps to make them hands-free and more accessible. The range of languages helped especially from an Indian context as only one competitor product could support as many Indian languages apart from a few European and middle eastern ones.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
It is one of the most advanced software available. Through its advanced features, it recognizes even distorted noise efficiently. We can effectively convert speech-to-text and text-to-voice, which helps us communicate, make notes, and accurately discover requirements.
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We used it for a POC where we had to convert speech recordings from customers calling at our helpline to text. These text scripts were to be used for training and doing an analysis on customer sentiments. Azure cognitive speech services were used to convert speech to text. The scope of the use case was extended to analyze all customer conversations calling for inquiries and support.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We mainly used Azure Cognitive Speech Services for text to speech and speech to text use cases to take note of the things we say to our client. As a technical support engineer, we say a lot of pointers and reminders to our clients and we have to make sure that we also know what we previously had told them so this is very important for us.
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