IBM Watson Speech To Text vs Microsoft Azure Speech Service comparison

Cancel
You must select at least 2 products to compare!
IBM Logo
2,464 views|1,824 comparisons
100% willing to recommend
Microsoft Logo
3,069 views|2,652 comparisons
100% willing to recommend
Featured Review
Anonymous User
Raed Gharzeddine
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It was easy to understand, easy to configure, and easy to use."

More IBM Watson Speech To Text Pros →

"Useful text-to-speech and speech-to-text features."

More Microsoft Azure Speech Service Pros →

Cons
"The quality needs to be updated. For speech to text, support for additional languages can be included. For example, support for the large markets in Eastern Europe, such as Polish or Romanian, would be nice."

More IBM Watson Speech To Text Cons →

"Lacks a voice recording option."

More Microsoft Azure Speech Service Cons →

report
Use our free recommendation engine to learn which Speech-To-Text Services solutions are best for your needs.
767,667 professionals have used our research since 2012.
Questions from the Community
Ask a question

Earn 20 points

Top Answer:Useful text-to-speech and speech-to-text features.
Top Answer:There is an open source version but once you choose to deploy, they charge a per minute fee for speech to text, and per number of words for text-to-speech. It's quite an expensive product.
Top Answer:An additional feature I'd like to see would be the option for voice recording. It would be helpful for us to have that possibility.
Ranking
4th
Views
2,464
Comparisons
1,824
Reviews
0
Average Words per Review
0
Rating
N/A
2nd
Views
3,069
Comparisons
2,652
Reviews
1
Average Words per Review
282
Rating
8.0
Comparisons
Also Known As
Azure Speech Service, MS Azure Speech Service
Learn More
Overview

Watson Speech to Text is a cloud-native solution that uses deep-learning AI algorithms to apply knowledge about grammar, language structure, and audio/voice signal composition to create customizable speech recognition for optimal text transcription.

Easily add real-time speech-to-text capabilities to your applications for scenarios like voice commands, conversation transcription, and call center log analysis.

Tailor your speech recognition models to adapt to users’ speaking styles, expressions, and unique vocabularies, and to accommodate background noises, accents, and voice patterns.

Build smart apps and services that speak to users naturally with the Text to Speech service. Convert text to audio in near real time, tailor to change the speed of speech, pitch, volume, and more.

Give your application a one-of-a-kind, recognizable brand voice using custom voice models. Simply record and upload training data, and the service will create a unique voice font tuned to your recording.

Sample Customers
American Airlines, UBank, Bitly, Eurobits
KPMG
Top Industries
VISITORS READING REVIEWS
Computer Software Company22%
University10%
Educational Organization9%
Comms Service Provider8%
VISITORS READING REVIEWS
Computer Software Company17%
Financial Services Firm10%
Manufacturing Company9%
Government7%
Company Size
VISITORS READING REVIEWS
Small Business24%
Midsize Enterprise13%
Large Enterprise63%
VISITORS READING REVIEWS
Small Business25%
Midsize Enterprise14%
Large Enterprise61%

IBM Watson Speech To Text is ranked 4th in Speech-To-Text Services while Microsoft Azure Speech Service is ranked 2nd in Speech-To-Text Services with 1 review. IBM Watson Speech To Text is rated 8.0, while Microsoft Azure Speech Service is rated 8.0. The top reviewer of IBM Watson Speech To Text writes "Easy to understand, configure, and use". On the other hand, the top reviewer of Microsoft Azure Speech Service writes "Very useful and helpful text-to-speech and speech-to-text features". IBM Watson Speech To Text is most compared with Google Cloud Speech-to-Text, AssemblyAI and Amazon Transcribe, whereas Microsoft Azure Speech Service is most compared with Amazon Polly, Google Cloud Speech-to-Text, Amazon Transcribe and Google Cloud Text-to-Speech.

See our list of best Speech-To-Text Services vendors.

We monitor all Speech-To-Text Services reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.