Manage And Curate Audio Data In Encord

Encord aims to simplify the process of preparing audio data for multimodal AI development by providing a consolidated platform for managing and curating audio data. The platform offers solutions for various challenges in preparing audio data, such as data quality and noise, labeling ambiguity, and diverse file formats. Encord Index provides features like import and data curation, custom metadata schemas, audio quality metrics, search & filter capabilities, and audio data transcription to streamline the management of large-scale audio datasets. This enables efficient data curation for speech-related tasks and helps users build high-performance AI models across multiple modalities such as audio, video, image, and DICOM.