201小时孟加拉语（印度）手机采集朗读语音数据

数据基于给定的脚本朗读并模拟录制，内容丰富。此数据集标注了文本内容等多种属性，由母语人参与采集，准确性高，为语音识别相关研究及应用提供了丰富的资源，经多家AI公司验证：有助于模型面对真实世界的多样性时能够表现出色。我们严格遵循数据保护法规和隐私规定，确保数据采集、存储和使用的过程中维护用户的隐私和合法权益，所有数据均遵循GDPR, CCPA, PIPL。

This dataset is created via script-based reading and simulated recording, with abundant content. It is annotated with multiple attributes including text content, collected by native speakers, and features high accuracy. As a rich resource for research and applications related to speech recognition, it has been verified by multiple AI companies that it can help models perform excellently when confronting the diversity of real-world scenarios. We strictly comply with data protection regulations and privacy rules, ensuring that users' privacy and legitimate rights and interests are safeguarded throughout the processes of data collection, storage and utilization. All data in this dataset adheres to GDPR, CCPA and PIPL.

搜集汇总

背景与挑战

背景概述

该数据集包含201小时通过手机采集的印度孟加拉语朗读语音，内容基于脚本且标注了文本属性，由母语者参与确保准确性。它专为语音识别研究设计，经多家AI公司验证能有效提升模型在多样真实场景中的表现，并严格遵循GDPR等数据保护法规。