关键词 "Neural Text-to-Speech" 的搜索结果, 共 24 条, 只显示前 480 条
AI voice generator for realistic text-to-speech conversion.
Luma AI enables lifelike 3D capture and photorealistic effects for everyone.
AI-powered video editor and graphic design tool for all platforms.
1分钟语音数据也可以用来训练一个好的TTS模型!(少量声音克隆).零样本 TTS:输入 5 秒的声音样本并体验即时文本到语音的转换。 Github上超过4万个星星
FunAudioLLM/CosyVoice(https://github.com/FunAudioLLM/CosyVoice) 项目是一个开源的多语言语音生成模型,它支持推理、训练和部署全流程。 该模型包括 CosyVoice-300M、CosyVoice-300M-SFT 和 CosyVoice-300M-Instruct 三种预训练模型,以及 CosyVoice-ttsfrd 资源。用户
Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
MCP Server wrapper for TTS engines (Kokoro TTS and OpenAI TTS)
Central logging server for the AI-MCP-Logger ecosystem
A simple MCP (Model Context Protocol) server that provides text-to-speech conversion capabilities, written in TypeScript.
An MCP server for text-to-speech synthesis (TTS) for LLMs.
A TTS server based on MCP
Advanced MCP server providing comprehensive text transformation and formatting tools. TextToolkit offers over 40 specialized utilities for case conversion, encoding/decoding, formatting, analysis, and
TTS MCP Server
MCP Server Tool for Text To Speech
MCP server for macOS text-to-speech functionality
Mirror of
Model Context Protocol for Text-to-Speech
A Streamlit-based chatbot interface powered by OpenAI GPT-4o that intelligently routes user input to custom MCP tools such as GPT chat, image generation, Supabase queries, and text-to-speech.
Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech and video generation APIs.
Official MiniMax Model Context Protocol (MCP) JavaScript implementation that provides seamless integration with MiniMax's powerful AI capabilities including image generation, video generation, text-to
A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model o
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