diff --git a/README.md b/README.md index 56c9e6e..4c609ca 100644 --- a/README.md +++ b/README.md @@ -4,14 +4,22 @@ Workflows

-The Whisper plug-in is an implementation of the [Whisper](https://github.com/openai/whisper) speech recognition model developed by [OpenAI](https://openai.com/) as a [Vamp plug-in](https://www.vamp-plugins.org/). The Whisper plug-in analyses the text in the audio stream and generates markers corresponding to the tokens (words and/or syllables) found. +The Whisper plug-in is an implementation of the [Whisper](https://github.com/openai/whisper) speech recognition model developed by [OpenAI](https://openai.com/) as a [Vamp plug-in](https://www.vamp-plugins.org/). The Whisper plug-in analyses the text in the audio stream and generates markers corresponding to the tokens (words and/or syllables) found. The lightweight ggml-tiny model is embedded in the plugin (so you don’t have to download anything to start experimenting), but it is possible to download and use other models that may be more appropriate to your needs. -The Whisper Vamp Plugin has been designed for use in the [Partiels](https://forum.ircam.fr/projects/detail/partiels/) application and requires the [Ircam Vamp Extension](https://github.com/Ircam-Partiels/ircam-vamp-extension). +The Whisper Vamp Plugin has been designed for use in the free audio analysis application [Partiels](https://forum.ircam.fr/projects/detail/partiels/).

Screenshot

+## Installation + +Download the Whisper Vamp plugin installation package for your operating system from the [Releases](https://github.com/Ircam-Partiels/whisper-vamp-plugin/releases) section and run the installer. + +## Use + +Launch the Partiels application. In a new or existing document, create a new analysis track with the Whisper plugin. Modify the model or the analysis parameters via the property window. Please refer to the manual available in the [Releases](https://github.com/Ircam-Partiels/whisper-vamp-plugin/releases) section for further information. + ## Compilation The compilation system is based on [CMake](https://cmake.org/), for example: