The results obtained by the SpeechRecognizer's Recognized event are not broken by punctuation marks, and sentences are connected even if the speaker changes.
Therefore, it is not possible to know the timing of the change of the speaker.
I want you to improve it so that an event occurs for each punctuation mark.

The lack of a confidence score on word level feature is a show stopper for my company's project. It would be extremely useful for us to have the confidence score included within "Words" list , which consist of words and their timestamps.

According to this answer: https://social.msdn.microsoft.com/Forums/en-US/4979ca92-aa0f-4d09-b010-fc2eeb1bde80/speech-results-confidence-score-on-word-level?forum=AzureCognitiveService#8ae67445-4e23-49ea-b694-a8d877dc2dd0
the feature is not public and we suspect that it could be provided quickly.

I'd be grateful for each vote for this idea!

Make neural voices available in the Northern Europe region.
We want to use the Norwegian Neural voice in our product (based in Norway, naturally) but are for some reason locked out of this feature.

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

Add support for other audio formats and bitrates

Tamil nlp

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...

There are no Xamarin Android & Xamarin IOS SDK for the latest custom speech used by Microsoft.

We hope we can use the SDK ASAP, since we think Xamarin is one of the Microsoft core product and widely used.

REST API support for custom phrase lists

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.

To create a new voice, have scripts ready to be read by the user. As the computer recognizes the user's voice, the sound is recorded and synthesized into a custom voice for the user.

If it is possible to identify sounds into characters, then it is good for other language developers to map it to the corresponding words.

I had previously trained a custom speech model and I trying to retrain that model but I am not seeing an option to retrain it, It only gives me an option to train the baseline model.

Is Greek on the roadmap? Please let me know when it is planned. If not, please add it.

For West Europe region, the service is returning "Specified grammar type is not supported!" when we pass in LUIS reference grammar ID (a.k.a. IntentRecognizer).

This causes the speech service to fail with a "WebSocket is already in CLOSING or CLOSED state." error when the LUIS reference grammar ID is passed in. If it is not included, the service works correctly.

May be related to this issue in the Cognitive Services Speech SDK repo: https://github.com/Azure-Samples/cognitive-services-speech-sdk/issues/127

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.

Support more languages/derivatives for Custom Voice Fonts. In particular, I'm looking to create a custom voice for en-GB, and building it using en-US doesn't quite work. I would also be looking to create custom voices for other flavours of English, en-AU being a priority.