We have some customer in Brazil that want to use CRIS with PT-BR

Microsoft Conversational Base Model with en-in language, mainly for the Indian English, any plans/tentative dates?

With en-us, USA English, not getting the best results, and the accuracy percentage is too lower, to make use it!

If I want to build an APP using CRIS API, but the Internet connection cannot be guaranteed when using the APP, can this be achieved for the time being?

We have some customer in Japan that want to use Japanese Voice data.

After having created and trained a model with a dataset, whenever i get additional data for training, i would like to -

1. create a new dataset with just the additional data - possible currently.


2. re-train an existing model with this new additional dataset.

So all models created by me need to added as baseline models so I can specify my own model as the baseline model in the API and provide the id of the new dataset.

A confidence number value per word or per speech fragment would be very interesting. Because with this confidence value it would be possible to get self-assessments of the Microsoft speech service, if it recognizes the word or the fragment correctly or not. Unfortunately I didn't found a such possibility.

I'm trying to train a custom speech model using about 5 GB of data that I have. I realize the upload limit is 2GB archives, so I've split my data into multiple bundles to upload them separately. However, in the UI I don't see how it is possible to train a model using multiple archives. In particular, the "select training data" flow uses radio buttons to select data so I am only able to select a single model. Is it possible to train a model with multiple archives of data?

I want to use the Cognitive speech service (real-time continuous speech to text and interim results) in the Xamarin app. Is there any SDKs or plugin available? Since REST API has some limitations (no interim results), i am unable to go with it.

Get more precsion with my own language & accoustic models

Can the custom speech service be configured to recognize selected English phonemes? Our university lab needs this capability to enhance our English training program for slum dwelling disadvantaged youth

The new Tenant Model, which is currently in preview allows using organizational data to create a speech model, but I would like to add this data to an existing Custom Speech Model, thereby allowing me to deploy an endpoint that has the ability to detect not only organization specific terms, but also terms from my custom speech data.

The WordBoundary is an easy way to get the timestamps of the words. It should be included in all the Speech SDK's. Instead at the moment it is not included in the javascript version, but can be found in C# version.

I tried to create a new model using an existing dataset through the REST api. I get a 202 response but the UI doesn't reflect the new model. Am i doing something wrong?

I have been trying to train a new language model with custom adaptation data and the status is stuck perpetually on "Running".

The standard speech service isn't enough specific. Hence, we want to train the Microsoft Custom Speech Service (CRIS) for dynamic conditions in a non-english environmnent - at first for locale "de-DE" later for "fr-FR". But there is no support for the two languages currently.
Otherwise for creating language model the locales "de-DE" and "fr-FR" are available.

Add the ability to deploy new versions of the same endpoint have updateable stage/prod endpoints (like LUIS) so that we can easily swap models under an endpoint without needing to adapt the application that uses it.

I need to create a custom language model, which is based on Chinese. But there may be some English words in the sentence.
E.g. "如何使用Veeva？"

Right now, our only option when we simply want to provide a custom set of words that are not commonly used in the English language (E.G. medical terms), our only option is to upload the dictionary as if it was a set of transcriptions, which creates a bias as it does not contain full sentences. Creating full sentences from these terms can be a long and painful process (around 100k words in the dictionary)

With the C# SDKs and endpoints now deprecated, there is not supported SDK for C#. It would be great to have the support for the Speech Protocol in C#.