Bonjour,
La voix fr-CH, French (Switzerland), Male, "fr-CH-Guillaume" ne lit pas les nombres comme nous le faisons en Suisse, elle le fait comme en France.
En effet, 70 doit se dire "septante" et non "soixante-" et 90 doit se dire "nonante" et non "quatre-vingt-". En outre selon les régions 80 se dit "huitante". Ce qui en rapport à la majorité des autres langues devrait être la norme.
Avec mes meilleures salutations,

Hi, can we use Speech SDK to access TTS service in container?
Why if using container, STT only supports SDK, and TTS only supports REST API?

By tests, it seems REST API is slower than SDK, why? Thanks.

MBps and Mbps are very different things. MBps is 8 times larger than Mbps, so Aria needs to know the difference between the two.

802.11 as a wireless standard should be pronounced "eight-o-two-eleven" instead of "eight hundred and two point one one"

このレストランではタバコを吸ってはいけません。is mispronounced. The はいけません part should be pronounced waikemasen and not haikemasen. This is with the Nanami Neural voice.

No SSML restrictions to one SSML elements in a SSML file, if you want to realise multiple tunings in the Audio Content Creation, like breaks, pronunciation, intonation etc.
(source:
Improve synthesis with the Audio Content Creation tool
> Create an audio tuning file:
"SSML restrictions Each SSML file can only contain a single piece of SSML."
(https://docs.microsoft.com/en-US/azure/cognitive-services/speech-service/how-to-audio-content-creation)

This is a bug not a feature. covid-19 sounds like covid 19. NASDAQ 100
S&P500
etc.
For the neural voices

En-GB mia neural voice pronounces the number 4 too quickly in sentences. Whether it is the digit or the word, same problem. I’m able to workaround this by adjusting the prosody speed of just that number :)

Teacher

Like a German/French/Spanish/Italian person speaking English, all have their own accent. Perfect for applications like Air Traffic Control etc.

Some of the unites are not pronounces correctly.
In my case i am using "9 Mega Watt" as (9MW) and its speaking correctly, but for 9 mili Watt (mW), its speaking wrong and saying Mega Watt. Can you update it, or provide separate access for customization acronyms.

I'd like to see the speech API coming to Raspberry PI, meaning having FULL ARM32 support for the linux implementation of this SDK. This would enable the raspi maker community to use Azure Speech seamlessly in their devices.

It would be beneficial for GovCloud users to have secure access a list of available endpoints for the service listed under the overview instead of just the token issuing endpoint forcing one to comb through out of date documentation trying to find the secured GovCloud endpoints.

Something changed with the zh-CN-XiaoxiaoNeural voice - the 'sentiment' expression no longer works, as of a few days ago. Using exactly the same code, but the output is quite different (no longer sounds sentimental). Was an update posted? If so, where do we find a list of changes?

Hi,

The new neural text 2 speech feature looks amazing, but one language is missing : French :)

I don't know if it something on the list, or if it is coming soon, but I'm waiting for this feature to switch from Google Wavenet.
I'm pretty sure that the french voice generated by this new neural TTS by MS Cognitive service will be a game changer.

The french language is complex, the emphasis, the punctation etc... but if MS can provide the same awesome quality as they have done in english... we will be able to build something incredible...

Once the synthesizer starts synthesizing audio, it can't be stopped. It would be nice to have some method that would stop/interrupt currently running audio synthesis.

Azure Speech API should offer json mark labels for Text to Speech audio. This allows developers to use the audio file and the json mark labels to create audio tracking text in the app. The competitor has a similar solution. I found Azure TTS to be superior but am forced to use the competitor's solution due to lack of json mark labels. Speech mark labels should be in json format and available for all languages. It should provide information such as the begin and end timestamp of each sound to the text, phrase and sentences.