240小时印度印地语语音数据_朗读（手机）

印度印地语语音数据_朗读（手机），基于给定的脚本朗读并模拟录制，覆盖经济，娱乐，新闻，口语等多个领域，内容丰富。此数据集标注了文本内容、时间戳等多种属性，由401名来自不同地域和文化背景的印度人参与录制，口音正宗，录音涵盖安静和噪音的不同环境，更贴合语音识别实际应用场，文本经过人工校对，准确率高，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。

Hindi Reading Speech Dataset (Mobile Recorded): Recorded by reading pre-specified scripts via mobile devices in simulated real-world recording scenarios, this dataset covers multiple domains including economy, entertainment, news, and colloquial speech, boasting rich and diverse content. It is annotated with multiple attributes such as textual transcripts and timestamps. The dataset was recorded by 401 Indian participants from diverse regional and cultural backgrounds, featuring authentic Indian Hindi accents. The recordings encompass both quiet and noisy environments, which better aligns with real-world speech recognition application scenarios. The textual transcripts have been manually proofread with high accuracy, providing valuable resources for speech recognition-related research and practical applications. Verified by multiple AI enterprises, this dataset helps models deliver excellent performance when facing real-world diversities. We strictly comply with data protection laws and privacy regulations, ensuring that user privacy and legitimate rights and interests are fully protected throughout the entire process of data collection, storage, and utilization. All data in this dataset complies with GDPR, CCPA, and PIPL.

搜集汇总

背景与挑战

背景概述

该数据集包含240小时的印度印地语朗读语音，通过手机录制，覆盖经济、娱乐、新闻、口语等多个领域，由401名印度人参与，口音正宗，并包含安静和噪音环境。数据标注了文本内容、时间戳等属性，文本经过人工校对，准确率高，适用于语音识别、TTS和教育等应用场景。