cnnmmd

cnnmmd_xoxxox_tlkuni

Clients: Chat client (game engine (Unity))

dependence:

overview

A chat client for the game engine:

・

Language used: C# (Unity)

・

Development environment: Unity

Installation: Manual

*

If individual settings are required before installation, modify the file following the steps below.

Copy the following files into any folder in the game engine (Unity) project pane:

# Transcription source:
> ${dirtop}/cnnmmd/export/app/xoxxox
 
> appuni

# Post to:
> Assets/*

Add the following audio playback components to any object (such as a character) in your Scene in the Hierarchy pane:

> AudioSource

Add the following as components to that object (after addition, the components should reflect the parameters from the individual files above):

> RcvVce # Receive audio
> SndVce # Send audio

Setting: Setting

The individual configuration files are as follows (the contents of the files that specify addresses are also shown): [※A] [※B]

# Individual settings:
>
${dirtop}/cnnmmd/import/cnnmmd_xoxxox_tlkuni/export/app/xoxxox/appuni/bin
 
> Params.cs
    - public static string srvadr = "127.0.0.1" // Address of the intermediate connector

※A

If you want to modify a plugin file, copy it to your custom folder in the same layout, modify the copied file, and then update the main (export) version as needed:

# Plugin side:
> ${dirtop}/cnnmmd/import/${plugin}/export/.../${target}
# Custom folder side:
> ${dirtop}/cnnmmd/import/${custom}/export/.../${target}

$ cd ${dirtop}/cnnmmd/manage/bin

$ ./remove.sh && ./append.sh

※B

The custom folder is a folder in Import (by default, a folder called “import/custom”) that contains the following files:

> manage/cnf/latest.txt

execution

Start the necessary servers and run the workflow.

Next, run the game engine (Unity) -- this is where the conversation begins. [※1][※C]

*1

The device for audio input is automatically selected as the active microphone on the OS side.

※C

At the beginning of a conversation or when switching speakers, it takes some time (possibly minutes on a CPU) for the speech synthesis engine to load the dictionary and individual models -- while the speech synthesis node display is active, models are loading or speech data is being generated.