Multi-speaker Emotional Speech Dataset

The Multi-speaker Emotional Speech Dataset, an open-source resource released by Magic Data, is designed for applications in speech emotion modeling and large-scale model training. It contains expressive emotional speech samples covering six fundamental human emotions. The textual content of each utterance is carefully aligned with its corresponding emotion, and the recordings are contributed by multiple speakers. This dataset provides an excellent resource for research on speech emotion recognition, emotional speech synthesis, and related fields.

多说话人情感语音数据集（Multi-speaker Emotional Speech Dataset）是由Magic Data发布的开源资源，旨在服务于语音情感建模与大规模模型训练相关应用。该数据集包含涵盖人类六种基础情感的富有表现力的情感语音样本，每条语音片段的文本内容均与对应情感精准对齐，且语音录制由多名说话人完成。本数据集为语音情感识别、情感语音合成及相关领域的研究提供了优质的资源支撑。

搜集汇总

背景与挑战

背景概述

该数据集是一个多说话人情感语音数据集，包含1,200个中文语音样本，覆盖六种基本情绪，由10位说话人录制。它专为语音情感建模和大模型训练设计，适用于语音情感识别、情感语音合成等研究领域。