数据堂—127小时马来语语音数据_对话（手机）

马来语语音数据_对话（手机），基于约三十个常见主题来模拟录制。此数据集标注了文本内容、句时间戳、说话人身份、性别等多种属性，由142名来自不同地域和文化背景的马来西亚本土人录制，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

Malay conversational speech dataset (collected via mobile phones), which was simulated and recorded based on approximately thirty common topics. This dataset is annotated with multiple attributes including text transcriptions, sentence-level timestamps, speaker identities, genders and other relevant information. It was recorded by 142 local Malaysian speakers from diverse regional and cultural backgrounds, with high annotation accuracy. This dataset provides abundant resources for speech recognition-related research and applications, and has been verified by multiple AI companies that it helps models achieve excellent performance when facing real-world diversity. We strictly comply with data protection regulations and privacy rules, ensuring that user privacy and legitimate rights and interests are protected during the processes of data collection, storage and use. All datasets conform to GDPR, CCPA and PIPL.

搜集汇总

背景与挑战

背景概述

该数据集包含127小时的马来语对话语音数据，专为语音识别研究和应用设计。数据由142名马来西亚母语者通过手机录制，覆盖约30个常见话题，并标注了文本内容、时间戳、说话人身份及性别等属性。录音格式为16kHz、16bit的WAV文件，在安静室内环境下采集，确保高质量和多样性。