❗conrad is a reboot of mscstts. Instead of httr, which is superseded and not recommended, we use httr2 to perform HTTP requests to the Microsoft Cognitive Services Text to Speech REST API.

conrad serves as a client to the Microsoft Cognitive Services Text to Speech REST API. The Text to Speech REST API supports neural text to speech voices, which support specific languages and dialects that are identified by locale. Each available endpoint is associated with a region.

Before you use the text to speech REST API, a valid account must be registered at the Microsoft Azure Cognitive Services and you must obtain an API key. Without an API key, this package will not work.

Install the CRAN version:

install.packages("conrad")

Or install the development version from GitHub:

# install.packages("devtools")
devtools::install_github("fhdsl/conrad")

1. Sign in/Create an Azure account on Microsoft Azure Cognitive Services.
2. Click + Create a resource (below “Azure services” or click on the Hamburger button)
3. Search for “Speech” and Click Create -> Speech
4. Create a Resource group and a “Name”.
5. Choose Pricing tier (you can choose the free version with Free F0)
6. Click Review + create, review the Terms, and click Create.

If the deployment was successful, you should see ✅ Your deployment is complete on the next page.

7. Under Next steps, click Go to resource
8. Look on the left sidebar and under Resource Management, click Keys and Endpoint
9. Copy either KEY 1 or KEY 2 to clipboard. Only one key is necessary to make an API call.

Once you complete these steps, you have successfully retrieved your API keys to access the API.

⚠️ Remember your Location/Region, which you use to make calls to the API. Specifying a different region will lead to a HTTP 403 Forbidden response.

For more detailed information on each step, refer to the API Key vignette.

You can set your API key in a number of ways:

1. Edit ~/.Renviron and set MS_TTS_API_KEY = "YOUR_API_KEY"
2. In R, use options(ms_tts_key = "YOUR_API_KEY").
3. Set export MS_TTS_API_KEY=YOUR_API_KEY in .bash_profile/.bashrc if you’re using R in the terminal.
4. Pass api_key = "YOUR_API_KEY" in arguments of functions such as ms_list_voices(api_key = "YOUR_API_KEY").

ms_list_voice() uses the tts.speech.microsoft.com/cognitiveservices/voices/list endpoint to get a full list of voices for a specific region. It attaches a region prefix to this endpoint to get a list of voices for that region.

For example, to get a list of all the voices for the westus region, it uses the https://westus.tts.speech.microsoft.com/cognitiveservices/voices/list endpoint.

⚠️ Be sure to specify the Speech resource region that corresponds to your API Key.

ms_list_voice(api_key = "YOUR_API_KEY", region = "westus")

ms_synthesize() uses the tts.speech.microsoft.com/cognitiveservices/v1 endpoint to convert text to speech. The endpoint requires Speech Synthesis Markup Language (SSML) to specify the language, gender, and full voice name.

⚠️ Be sure to specify the Speech resource region that corresponds to your API Key.

# Convert text to speech
res <- ms_synthesize(script = "Hello world, this is a talking computer", region = "westus", gender = "Male")
# Returns hexadecimal representation of binary data

# Create file to store audio output
output_path <- tempfile(fileext = ".wav")
# Write binary data to output path
writeBin(res, con = output_path)
# Play audio in browser
play_audio(audio = output_path)

If you want more examples of different voices with different scripts, refer to the Introduction to conrad vignette.

ms_get_token() makes a request to the issueToken endpoint to get an access token. The function require an API key and region as inputs. The access token is used to send requests to the API.

⚠️ Be sure to specify the Speech resource region that corresponds to your API Key.

ms_get_token(api_key = "YOUR_API_KEY", region = "westus")

• To enhance the reliability of our package, we have transitioned from using httr to httr2 for handling HTTP requests to the Text to Speech REST API. This change was motivated by the fact that httr is no longer being actively maintained, with updates limited to those necessary for CRAN compatibility. In contrast, httr2 represents a modern reimagining of httr and is strongly recommended for usage.
• It resolves the HTTP 403 Forbidden issue. An HTTP 403 Forbidden response status code signifies that the server comprehends the request but denies authorization. In the case of mscstts::ms_synthesize(), the problem arose due to the use of an invalid voice within the HTTP request, specifically concerning the chosen region. For instance, the SSML might have contained a voice name that was not supported in the westus region. As a consequence, the server would reject the HTTP request.
• We have made significant improvements to the documentation across the entire package. These enhancements include simpler function names, commented functions for clarity, removal of unnecessary functions and arguments, and URLs directing users to pages that explain text-to-speech jargon.

We believe that these improvements will greatly enhance the usability of the package and make it even more reliable in the long-term.

conrad wouldn’t be possible without prior work on mscstts by John Muschelli and httr2 by Hadley Wickham.