Azure AI Speech vs. Trint

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.

Incentivized

It consequently translates sound from all record designs and produces a shareable and editable transcript. The interface of Trint is decent and works really hard in interpreting the content. It can also be used when taking an interview of an individual from a different language background. Here and there the record of certain dialects contains botches which are then rectified by the actual persons.

Incentivized

• 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.

Incentivized

• User friendly interface
• Value for money
• Seamless to transcribe from audio
• Performance is quick give results fast

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

Incentivized

• No choice for erasing the records whenever you have utilized them.
• The API likewise needs a great deal of work to be finished.
• The limitless provisions are extremely less.

Incentivized

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.

• It helps us catch requirements and make notes so that we don't forget when drawing out proposals.
• Also helps us with targeted pitches and helps save time.

Incentivized

• Save time and money
• Quick results help us to focus on different work