Azure AI Speech, a great fellow traveler in your speed to text adventure!
We use Azure AI Speech to capture the user's voice from an Angular frontend app to then tokenize/rank words for helping the User to have a …
Starting at $1 per month
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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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Software Engineer, Devops
CMG Financial (Financial Services, 501-1000 employees)
Pricing
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
Product Details
- About
- Tech Details
- FAQs
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:
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.
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 Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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).
Comparisons
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Reviews and Ratings
(16)Attribute Ratings
Reviews
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Azure AI Speech easier to build up than the others.
As well having better integration with other services we have deployed in Azure Cloud, winning speed in the go-to-market.
As well having better integration with other services we have deployed in Azure Cloud, winning speed in the go-to-market.
- IBM Watson Text to Speech and Azure Cognitive Search (formerly Azure Search)
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.
March 29, 2022
Great Recognition Capability with Azure Cognitive Speech Services and the Technical Team is Very Reliable.
Score 9 out of 10
Vetted Review
Verified User
Azure Cognitive Speech Services is simple and the interface is not complicated even for those getting started with these customer services tools and the best voice recognition. Setting the platform dashboard preferences is also an easy process and with the ability to manage workflow and document management the system functions are stable and effective.
March 24, 2022
Enterprise grade speech services for the ML generation
- Google Cloud Speech-to-Text, Amazon Transcribe and IBM Watson Speech to Text
Price is the number one factor which stands out for Azure among its competitor's Number of languages supported esp from an Indian context also is quite remarkable as opposed to its competitors, the vocabulary and accent support therein also matters. Its cloud-first deployment strategy also makes app deployment very easy.
Yellow Messenger didn't have Speech to text capabilities. Azure Cognitive Speech Services was specifically selected because it had the capabilities of text to speech and speech to text both with the added convenience of it being deployed on the cloud. The integration and use were also easy.
March 15, 2022
Speech Analytics Redefined
- Acoustic Analytics (formerly IBM Watson Customer Experience Analytics)
Just used this once but for me Azure is much easier since the company uses Office 365.