语音技术数据集汇总

智能语音技术是人工智能应用最成熟的技术之一，并拥有交互的自然性，就是让智能设备听懂人类的语音。它是一门涉及数字信号处理、人工智能、语言学、数理统计学、声学、情感学及心理学等多学科交叉的科学。智能语音解决的问题，就是使得设备可以用听觉感知周围的世界，用声音和人做最自然的交互，让操控和生活更为便捷。
本文包含如下语音技术方向数据集：
1）语音识别
2）说话人识别
3）语音合成
4）语种识别

Intelligent speech technology is one of the most mature technologies in artificial intelligence applications, featuring natural human-computer interaction that enables smart devices to comprehend human speech. It is an interdisciplinary science covering digital signal processing, artificial intelligence, linguistics, mathematical statistics, acoustics, affective science, psychology and other related disciplines. The core problems addressed by intelligent speech technology are to enable devices to perceive the surrounding world through hearing, conduct the most natural interactions with humans via voice, and thus make device operation and daily life more convenient.
This paper includes datasets covering the following speech technology research directions:
1) Speech Recognition
2) Speaker Recognition
3) Speech Synthesis
4) Language Identification

搜集汇总

背景与挑战

背景概述

该数据集汇总了语音技术领域的多个公开数据集，涵盖语音识别、说话人识别、语音合成和语种识别四个主要方向。它旨在为研究人员和开发者提供资源，以支持智能语音技术的开发和应用。