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1. AWS SPEECH TO TEXT REAL TIME FOR FREE
2. AWS SPEECH TO TEXT REAL TIME SOFTWARE
3. AWS SPEECH TO TEXT REAL TIME CODE

That said, pricing with either of these services can be complex. Email-only support plans start at $29 per user per month, while phone support plans start at $100 per user per month. But, you’ll also need to pay extra if you want support from Microsoft techs.

AWS SPEECH TO TEXT REAL TIME CODE

Microsoft offers more online documentation for its Speech Service software, including how-to videos and example code for the platform API. Options start at $100 per user per month. You can purchase a support plan from Google if you need to talk to a tech. You’ll find some basic troubleshooting tips online, but otherwise Google directs you to ask the community for help on Stack Overflow or Slack. Google Cloud Speech-to-Text doesn’t come with much support by default. But most of the time, both Speech Service and Speech-to-Text were each able to differentiate speakers on a conference call within the transcribed text. This feature isn’t always perfectly accurate if you have two people with a similar tone and a less than crisp recording. We found that the two apps are also very comparable when it comes to recognizing multiple speakers.

AWS SPEECH TO TEXT REAL TIME FOR FREE

You can try Microsoft Azure Speech Services for free before committing to the app. Feeding Speech Service poor models can also hurt your transcription and leave you with a less accurate result.

If you skip this step, you may find that the two platforms are much more comparable in their accuracy when transcribing difficult recordings.

AWS SPEECH TO TEXT REAL TIME SOFTWARE

This means that when the software is struggling with audio quality or interpreting an accent, the transcription quality can suffer quite a bit.Īll that said, getting better results from Microsoft’s software is dependent on using high-quality speech and acoustic models. Google largely sticks to recognizing words based on their audio signatures and stringing them together. Since this software can accept custom speech models, it also handles accents, lisps, and other speech impediments significantly better than Google’s Speech-to-Text platform. The difference is that Microsoft’s software uses AI to make sure that what it’s transcribing makes linguistic sense. Performanceįor straightforward audio transcription, Microsoft Azure Speech Service tends to perform better than Google Cloud Speech-to-Text. So, you can easily use either of these speech-to-text apps for transcribing meetings and conference calls.

So, if the software is having trouble recognizing words, it could prompt the speaker to talk more slowly or clearly to achieve better results.īoth Microsoft and Googles’ platforms automatically detect when there are multiple speakers in a recording. Speech Service’s API also enables you to code real-time feedback.

This is especially helpful if you frequently experience audio noise in a conference room or over a headset.

Or, Speech Service supports acoustic models that you can use to cancel out noise in your recordings. You can feed the software a custom speech model to help you improve accuracy for a single speaker or for speakers with a regional accent. Microsoft Azure Speech Service is more feature-rich when it comes to getting your transcription exactly right. Google Cloud Speech-to-Text supports punctuation and recognizes multiple speakers in recordings.