Amberscript vs. Azure AI Speech

Amberscript is great for transcribing individual audio (or video) files that reside on your computer. The ability to view and edit the text of the text file (to correct or remove data that you don't want to be shared) before the output is a great option. I feel it may be limited in the ability to transcribe live audio records such as phone calls or meetings, where we would find it very useful to have immediate access to a transcript (for coaching or sharing purposes). I feel the needs are more designed as a solution for pre-existing audio/video files versus working in real-time.

Incentivized

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

Incentivized

• Automated Speech to text transcribing
• Video and Audio file to text data file conversion

Incentivized

• 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.

Incentivized

• There does not appear to be a way to transcribe live audio (such as a live meeting or live phone call)

Incentivized

• 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.

Incentivized

I feel that Amazon Transcribe was much more feature-rich, allowing for a much more real-time solution, whereas Amberscript is great for transcribing existing call recordings (or video files) to a rich text file. Amazon Transcribe will do both, while Amberscript only does the latter. For our business, this was a significant feature loss for Amberscript.

Incentivized

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.

Incentivized

• Having an automated speech-to-text conversion allows us to reduce human hours, which would normally take notes or have to review long audio files.
• Being able to transcribe multiple call recordings into a searchable text format allows for coaching of issues in a much more efficient format than an audio recording.

Incentivized

• The platform provides solutions for project information and easy management of client contacts.
• Reliable tools for quick reporting and the predictive data offered are quite relevant.
• Multiple data migration and easy to schedule through the platform.