Provision Windows and Linux VMs in secondsĮnable a secure, remote desktop experience from anywhere We feature the best text-to-speech software.Explore some of the most popular Azure products.So, if you want one app that can handle recordings in nearly any language, Google Cloud Speech-to-Text may be the better option. That said, Microsoft’s language support is very limited compared to Google’s. We also found that it can be much more accurate if you take the time to supply custom speech and acoustics models with your recordings. It’s significantly cheaper than Google Cloud Speech-to-Text if you have many hours of audio. Verdictįor most cases in which you need to transcribe speech-to-text, we recommend Microsoft Azure Speech Service. Microsoft raises its price to $1.40 per hour of audio if you supply custom speech or acoustics models. At the same time, Google charges $2.16 per hour if you want to use the ‘Enhanced’ speech model. In that case, Speech-to-Text is slightly cheaper than Microsoft’s Speech Service. Google offers a 30% discount if you allow the company to log your audio data on its servers. 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. 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. 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. 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.
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