Azure AI Speech

Score8.6 out of 10

19 Reviews and Ratings

Community insights

TrustRadius Insights for Azure AI Speech are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Voice Capabilities: Users have consistently praised the platform for its precise voice analysis capabilities, emphasizing the potential for further improvement through personalized speech models.

Pricing: The affordability of the service has been a standout feature for many users, widening its accessibility to a diverse user base.

High-Speed: Reviewers have lauded the remarkable speed of data migration on the platform, highlighting its efficiency in handling large volumes of data seamlessly. These positive aspects collectively contribute to making the platform a valuable tool for various users across different industries and use cases.

Features: Users appreciate the platform's advanced features that enhance their overall experience and productivity.

Reviews

8 Reviews

Azure AI Speech, a great fellow traveler in your speed to text adventure!

Rating: 9 out of 10

Incentivized

May 4, 2024

Use Cases and Deployment Scope

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 fact checker in an open discussion with another speaker

Pros

Build a conversational language understanding model
Translate text with Azure AI Translator service
Create a custom text classification solution

Cons

Voice quality needs to be improved
Word Error Rate in Azure is bigger than OpenAI's, needs to improve

Likelihood to Recommend

For a Call Center question/answer model, Azure AI Speech performs very well.

It is not ideal for creating a flawless Speech-to-Text based customer self-service experience, OpenAI performs better.

Hugo Martínez Arroyo

Software Engineer, Devops in Information Technology at CMG Financial (501-1000 employees)

Vetted Review

1 year of experience

View profile

A solid service provided by Microsoft which has some room for minor improvements. Definitely one of the top service in this market and well worth considering

Rating: 8 out of 10

Incentivized

March 29, 2022

Use Cases and Deployment Scope

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.

Pros

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

Cons

It can be quite difficult to set up
Speech recognition is occasionally inaccurate
It sometimes struggles with non-native English speakers' accents

Likelihood to Recommend

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.

Verified User

Employee in Information Technology (1001-5000 employees)

Vetted Review

1 year of experience

Great Recognition Capability with Azure Cognitive Speech Services and the Technical Team is Very Reliable.

Rating: 9 out of 10

March 29, 2022

Use Cases and Deployment Scope

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.

Pros

Supportive data integration functions.
Simple adaptation to all functionalities.
I really love the speed of data migration with this platform.

Cons

The initial training when new to this software is an essential process.
Tracking a huge amount of recording history.
Collective multiple reports and evaluation is a turf operation.

Likelihood to Recommend

Ease of the functionalities and the best solution on customer services management and intelligent ability on multiple voice recognition with Azure Cognitive Speech Services are very helpful. Also, the reporting functions manipulation is great and excellent experience managing multiple contacts and the effective data analytics functions offers results in real-time data.

Johnson Martins

.NET Software Engineer in Information Technology at JFrog (501-1000 employees)

Vetted Review

2 years of experience

View profile

Enterprise grade speech services for the ML generation

Rating: 8 out of 10

Incentivized

March 24, 2022

Use Cases and Deployment Scope

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.

Pros

APIs offered are very robust.
Languages supported is far greater than most of its competitors.
Integration with our custom apps was easy.
Speech models that we created using neural voices were quite impressive.
Translation services worked really well.
Built in machine learning opens it to a lot more business use cases for the future.

Cons

At times different accents can be an issue but over time with more data, this can be further improved esp with reinforcement learning.
Price is on the higher side so ROI is slow to realise.
For community development, perhaps some of its source code could be open-sourced for further engagement and development as the overall community is small.

Likelihood to Recommend

Excellent for voice enabled apps
built in security so speech data does not go outside
Flexible deployment on the cloud
Speech translation in real time scenarios
Using customised keywords to activate IoT devices

Verified User

Consultant in Sales (1001-5000 employees)

Vetted Review

2 years of experience

Pricey but effective solution for sales and targeted pitches.

Rating: 7 out of 10

Incentivized

March 17, 2022

Use Cases and Deployment Scope

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.

Pros

The free version provides up to five hours of audio and allows you to create one custom voice model per month.
Microsoft's language processing system justifies the cost of the software - it recognizes even faint and distorted sound in many cases.
It works with many languages and dialects which helps understand many speeches.

Cons

The software is not user-friendly- it has a complicated interface and requires a lot of training to set up.
The pricing is also costly - so for an individual user, not on a company plan, this is not affordable.

Likelihood to Recommend

Azure Cognitive Speech Services can work with many languages and dialects, making it imperative for people working with multi-lingual clients. It also helps to catch speeches while conversing in meetings. The setup is complicated, which is why for a novice user - it is not an easy endeavor to use. The pricing is also high.

Verified User

Manager in Sales (10,001+ employees)

Vetted Review

1 year of experience

Enables our users to have more natural-feeling conversations with chatbots

Rating: 10 out of 10

Incentivized

March 17, 2022

Use Cases and Deployment Scope

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.

Pros

Accurate speech-to-text
Realistic 'voice' when using text-to-speech
Customisable 'voices' for text-to-speech

Cons

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

Likelihood to Recommend

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.

Verified User

Analyst in Information Technology (10,001+ employees)

Vetted Review

1 year of experience

Good secured platform for enterprise cognitive requirements.

Rating: 8 out of 10

Incentivized

March 15, 2022

Use Cases and Deployment Scope

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.

Pros

Deployment is easy since its available on the cloud.
It is directly as a service and no expertise in AI or ML is needed by the development team.
Security of data since Azure promises that it does not store the data of the customers that is used by the service.

Cons

More support for India regional languages and the ability to interpret Indian dialect.
More detailed documentation with more coded examples to be available.

Likelihood to Recommend

Azure Cognitive Speech Services is well suited for scenarios where you need real-time or batch-based data conversion - either from speech to text or text to speech, It can be used to interpret and document customer conversations or employee conversations or to make specific training programs. It can also be used to make and train avatars to read from a text document. It can also be made to use for cases where it can read for employees with special needs.

Verified User

Manager in Information Technology (1001-5000 employees)

Vetted Review

1 year of experience

Speech Analytics Redefined

Rating: 10 out of 10

Incentivized

March 15, 2022

Use Cases and Deployment Scope

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.

Pros

Easily leverage the available APIs even with the free version.
Accurate speech to text.
Local languages are supported.

Cons

Pricing is costly, it seems MS is forcing you to opt with the premium version since you can only use worth five hours of free translations.

Likelihood to Recommend

Since this is made by Microsoft, integration wouldn't be a huge obstacle with your O365 applications. You just have to check if your apps are available for integration, use the available APIs then you are good to go.

Verified User

Engineer in Information Technology (201-500 employees)

Vetted Review

1 year of experience

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