AZURE SPEECH TO TEXT PYTHON EXAMPLE SOFTWARE
AZURE SPEECH TO TEXT PYTHON EXAMPLE CODE
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Sometimes having a voice, while not perfect, is better than none while, at other times, itвЂ™s worth the additional cost and effort for a studio recording. We believe your stakeholders and end customers should help guide whatвЂ™s appropriate and best for your specific application. There remains a lot of variability but overall the non-neural voices are not as high quality as others since they rely on parametric modelsвЂ“and are mostly on-par with GoogleвЂ™s non-WaveNet offerings. Overall, they are acceptable for the cases where no alternative exists.

Quality: The 5 Neural TTS offerings are almost a startвЂ“but they donвЂ™t really have the breadth of offerings as the other vendors.

This however is вЂњgated technologyвЂќ meaning itвЂ™s potential for abuse and other ethical concerns means that you have to invest heavily and get approval from Microsoft for your use. This opens the door to customization and allows you to take a regular TTS voice and truly model one for yourself.

MicrosoftвЂ™s Special Add-ons вЂ“ The speech service is able to be trained with additional data for 9 major languages.

With 81 voices though, itвЂ™s somewhat shallower than the others meaning sometimes you only have a single voice to choose from. The service lists support for 49 languages and 81 voices.В It is worth noting that Microsoft offers some languages that are not available on AWS or GoogleвЂ“so in terms of coverage this is the broader list.

AZURE SPEECH TO TEXT PYTHON EXAMPLE SOFTWARE

Coverage вЂ“ Microsoft Azure Text to Speech is probably the oldest entry for TTS and they even have a Windows-based SAPI for screen readers and other software in Windows.

So, for the basic user, this is probably not the best option.

AZURE SPEECH TO TEXT PYTHON EXAMPLE CODE

To get it to work, they do provide some sample code but it assumes you know something about C# or Python.

As a large developer-run organization, it makes sense that the TTS options on their cloud platform share tame terminology and usage as their sophisticated tools for developersвЂ“not end-users. Namely, youвЂ™ll need to get an API and be a developer or have access to one.

Ease of Use вЂ“ The TTS Options offered by Microsoft Azure Text to Speech offer a similar approach to Google when it comes to availability for using their product.

So, while it looks similar to GoogleвЂ™s offering, thereвЂ™s some potential golden nuggets, hidden in the architecture. Basically, they skip the entire process of anything written вЂ“ just talk in one language and it will talk back in the other. Respectively, these are different approaches to transcription and speech generation. In this platform offering, you can customize and augment the speech serviceвЂ“which is packaged closely with Speech to Text, Text to Speech, and Speech to Speech. TTS Options offered by Microsoft Azure Text to Speech provides a reliable, if somewhat less exciting collection, of voices with a very interesting mix of back-end abilities. Your rating on quality will directly correlate to the original goals you outlined. But in some cases, such as French, you may have up to 10 options between all 3 providers with multiple genders and accents.

For example, if you need Finnish, you might only have one choice: a female voice from Microsoft.

The quality of TTS is very subjective so it is important to have a clearly defined goal so that you can rate the quality when you are comparing options.

Special Add-ons and Technology Available.

What variants and genders are available?.

What voices and voice options are available?.

What technical skills do you need to do this?.

How easy can you get into the application and get it to work?.

Be sure to see our other blogs for comparisons of the other two major cloud providers: Amazon Polly, Google Text to Speech. To provide a common criterion for review of the three major Cloud TTS providers, we will use the following guidelines. Today, weвЂ™ll focus specifically on TTS options offered by Microsoft Azure Text to Speech. We take a deep dive deep into the services offered by each of these platforms and outline specific selection criteria utilized to compare them.

AZURE SPEECH TO TEXT PYTHON EXAMPLE SERIES

In this three-part blog series on Text to Speech (TTS), we explore three major players in Cloud TTS: Google, Microsoft, and Amazon.

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