Text to speech with Bark
How to transform text to speech using Bark
Last updated
How to transform text to speech using Bark
Last updated
Bark is a powerful tool in Takomo that allows you to turn text into speech. This article will guide you through the process of using Bark in Takomo to create an audio output from a text input.
Begin by navigating to the dashboard in Takomo. From there, head over to the left side of the screen and select 'New Project'. For this pipeline, you will need three things: an input, an output, and a Bark node.
The input for this project will be a text field. This is where you will input the text that you want to be converted into speech.
The output section will need to be set to audio, as this is the format that the final product will be in.
The Bark node can be found on the left side of the screen, under the 'Audio and Speech' category. Drag the Bark node into your pipeline, then connect the input field and the output field to it.
Now it's time to input the text that you want to be converted into speech. This can be anything you like - for this example, we'll use a fictional story about a fox in the forest.
In the Bark node, expand the 'Advanced Settings' section. Here, you can select the speaker and adjust the text and waveform temperature.
The speaker selection offers various speakers in different languages, from English to German, French, Spanish, and more. For this example, we'll leave it on English speaker one.
The text and waveform temperature allows you to change what the speaker sounds like. Higher numbers generate more diversity of sound, producing better speech, while lower numbers produce more hallucinations and phonetic uniformity. You can adjust these settings until you get the exact voice you want for your audio.
Once you're happy with your settings, run the pipeline to retrieve your audio file. Bark will take some time to run, so be patient. Once it's finished, you'll see an audio clip on the right side of the screen.
You can play the audio clip, lower the volume if it's too loud, and listen to it to see if you're happy with the results. If not, you can adjust the text temperature and try out different speakers until you're satisfied.
Once you're happy with your pipeline and the voice it produces, you can connect this API anywhere and get the same quality of audio every time you use it.
Remember, Bark does take some time to run, so don't worry if it doesn't finish in one or two seconds. Just let it run for a while, and you'll get your results.
