This is a CLI tool that uses the Emotivoice API to convert text to speech with ability for emotional synthesis. It supports multiple languages, with a default setting for Mandarin Chinese, and allows users to customize the emotional tone of the speech using Chinese prompts.

• Supports multiple languages, defaulting to Mandarin Chinese.
• Customizable emotional tone using Chinese prompts.
• Processes text input directly or from a file.
• Outputs in MP3 format with customizable voice and language options.

To convert a Chinese sentence into speech with a happy tone, run

node gen.js "春节是中国最重要的佳节之一。" --language Chinese --emotion 高兴

The output is given in the output folder, with the timestamped and prefixed mp3 output.

1. Clone the Repository

$ git clone [repository-url]
$ cd [repository-directory]

2. Install Dependencies Ensure Node.js and npm are installed, then run:

$ npm install

To use the tool, execute the following command:

• Direct Text Input:

node gen.js "Your text here" [--output <output_folder>] [--voice <voice_id>] [--language <language>] [--emotion <chinese_emotion>]

• File Input:

node gen.js -f <path_to_file> [--output <output_folder>] [--voice <voice_id>] [--language <language>] [--emotion <chinese_emotion>]

Options:

• -e, --emotion <chinese_emotion>: Optional. Specify the emotional tone using a Chinese prompt. Defaults to '高兴' (happy).

• '高兴' (Gāoxìng) - Happy
• '悲伤' (Bēishāng) - Sad
• '愤怒' (Fènnù) - Angry
• '兴奋' (Xīngfèn) - Excited
• '平静' (Píngjìng) - Calm

Set REPLICATE_API_TOKEN in your environment variables for authentication with the Emotivoice API.

Contributions are welcome. Please fork the repository, make your changes, and submit a pull request.

This project is licensed under the MIT License.