https://github.com/muschellij2/pipertts

R Wrapper for Piper TTS from https://github.com/rhasspy/piper
https://github.com/muschellij2/pipertts

Last synced: 19 days ago
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R Wrapper for Piper TTS from https://github.com/rhasspy/piper

• Host: GitHub
• URL: https://github.com/muschellij2/pipertts
• Owner: muschellij2
• Created: 2024-09-13T18:15:51.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-09-16T22:51:24.000Z (3 months ago)
• Last Synced: 2024-10-16T08:21:59.934Z (2 months ago)
• Language: R
• Size: 25.4 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# pipertts

[![R-CMD-check](https://github.com/muschellij2/pipertts/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/muschellij2/pipertts/actions/workflows/R-CMD-check.yaml)

The goal of `pipertts` is to wrap the [piper](https://github.com/rhasspy/piper) Python module for translation of text to other languages.

# Package Installation

You can install the development version of `pipertts` like so:

```r

remotes::install_github("muschellij2/pipertts")

```

To install `TTS`, you can either run `install_piper`, which calls `reticulate::py_install()`,  If you already have a `conda` environment enacted, use `reticulate::py_install` or simply `install_piper`:

```r

library(pipertts)

install_piper()

```

Or you can run `create_piper_condaenv()`, which calls `reticulate::conda_create()` and creates a `conda` environment for `piper`, named `piper`.

``` r

create_piper_condaenv()

```

If you use this method, you should run `reticulate::use_condaenv("piper")` before enabling Python.

## Example

This is a basic example which shows you how to solve a common problem:

```{r example, cache = TRUE}

library(pipertts)

model = tempfile(fileext = ".onnx")

config = tempfile(fileext = ".json")

res = piper_download_voice(voice = "ljspeech", quality = "high",

                           model = model, config = config)

voice = piper_voice(model = res$model, config = res$config)

text = c(

  "Who knows what it's like to be a human?  ", 

  "Definitely not me.  I'm a computer.  ", 

  "Just a silly computer, but I'm learning.  And when I learn, whew, watch out."

)

output = piper_synthesize(voice, text = text, sentence_silence = 0.2)

output

```

```{r play, eval = FALSE}

system2("play", output)

```