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Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 30 voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s powerful neural networks to deliver the highest fidelity possible. With this easy-to-use API, you can create lifelike interactions with your users, across many applications and devices.
Read more on the Google Cloud Text-to-Speech Website
The Cloud Text-to-Speech API turns text into sound files of the spoken words. Its accessible via the gl_talk
function.
Arguments include:
input
- The text to turn into speechoutput
Where to save the speech audio filelanguageCode
The language of the voice as a BCP-47
language tagname
Name of the voice, see list via gl_talk_languages()
or online for supported voices. If not set, then the service will choose a voice based on languageCode
and gender
.gender
The gender of the voice, if availableaudioEncoding
Format of the requested audio stream - can be a choice of .wav
, .mp3
or .ogg
speakingRate
Speaking rate/speedpitch
Speaking pitchvolumeGainDb
Volumne gain in dBsampleRateHertz
Sample rate for returned audioThe API returns an audio file which is saved to the location specified in output
- by default this is output.wav
- if you don’t rename this file it will be overwritten by the next API call.
It is advised to set the appropriate file extension if you change the audio encoding (e.g. to one of .wav
, .mp3
or .ogg
) so audio payers recognise the file format.
The API can talk several different languages, with more being added over time. You can get a current list via the function gl_talk_languages()
or online
gl_talk_languages()
# A tibble: 32 x 4
languageCodes name ssmlGender naturalSampleRateHertz
<chr> <chr> <chr> <int>
1 es-ES es-ES-Standard-A FEMALE 24000
2 ja-JP ja-JP-Standard-A FEMALE 22050
3 pt-BR pt-BR-Standard-A FEMALE 24000
4 tr-TR tr-TR-Standard-A FEMALE 22050
5 sv-SE sv-SE-Standard-A FEMALE 22050
6 nl-NL nl-NL-Standard-A FEMALE 24000
7 en-US en-US-Wavenet-A MALE 24000
8 en-US en-US-Wavenet-B MALE 24000
9 en-US en-US-Wavenet-C FEMALE 24000
10 en-US en-US-Wavenet-D MALE 24000
If you are looking a specific language, specify that in the function call e.g. to see only Spanish (es
) voices issue:
gl_talk_languages(languageCode = "es")
# A tibble: 1 x 4
languageCodes name ssmlGender naturalSampleRateHertz
<chr> <chr> <chr> <int>
1 es-ES es-ES-Standard-A FEMALE 24000
You can then specify that voice when calling the API via the name
argument, which overrides the gender
and languageCode
argument:
Otherwise, specify your own gender
and languageCode
and the voice will be picked for you:
Some languages are not yet supported, such as Danish. The API will return an error in those cases.
Support is also included for Speech Synthesis Markup Language (SSML) - more details on using this to insert pauses, sounds and breaks in your audio can be found here: https://cloud.google.com/text-to-speech/docs/ssml
To use, send in your SSML markup around the text you want to talk and set inputType= "ssml"
:
You can output audio files that are optimised for playing on various devices.
To use audio profiles, supply a character vector of the available audio profiles listed here: https://cloud.google.com/text-to-speech/docs/audio-profiles
- the audio profiles are applied in the order given.
For instance effectsProfileIds="wearable-class-device"
will optimise output for smart watches, effectsProfileIds=c("wearable-class-device","telephony-class-application")
will apply sound filters optimised for smart watches, then telephonic devices.
Creating and clicking on the audio file to play it can be a bit of a drag, so you also have a function that will play the audio file for you, launching via the browser. This can be piped via the tidyverse’s %>%
library(magrittr)
gl_talk("This is my audio player") %>% gl_talk_player()
## non-piped equivalent
gl_talk_player(gl_talk("This is my audio player"))
The gl_talk_player()
creates a HTML file called player.html
in your working directory by default.
You can do this in Shiny too, which is demonstrated in the example Shiny app included with the package.
Click the link for a video tutorial on how to integrate text-to-speech into a Shiny app - the demo uses text-to-speech to talk through a user’s Google Analytics statistics.
A shiny module has been created to help integrate text-to-speech into your Shiny apps, demo in the video above and below:
library(shiny)
library(googleLanguageR) # assume auto auth setup
ui <- fluidPage(
gl_talk_shinyUI("talk")
)
server <- function(input, output, session){
transcript <- reactive({
paste("This is a demo talking Shiny app!")
})
callModule(gl_talk_shiny, "talk", transcript = transcript)
}
shinyApp(ui = ui, server = server)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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