1) What It Is
We’re looking to build an in-house Speech-to-Text Annotation Platform. This platform aims to facilitate the conversion of audio speech into transcribed text, which can be annotated, segmented, and labeled. This is somewhat similar to existing platforms like Labelbox, Annotation Pro, AppTek, and Label Studio. I have added an image as an example as well.
2) How It Works
Basic Workflow
- Upload Audio: Users upload audio files into the system.
- Transcription: The audio is automatically transcribed into text (or manually transcribed by human operators).
- Annotation Interface: The transcribed text is presented in an interactive UI, where users can annotate, segment, and label the text.
- Review and Approval: Annotations are reviewed and approved by managers or subject matter experts.
- Data Export: The annotated data is then exported for further analysis or machine learning training.
3) Our Needs
User Management
- Ability to manage hundreds of users with different roles (annotator, reviewer, admin, etc.)
Process Management
- Workflow management to handle the stages from audio upload to data export.
- Real-time tracking of annotation progress and quality.
Annotation/Text/Labeling Tool
- Text-based UI for annotation, complete with features like tagging, segmentation, and labeling.
- Capability for multiple users to work on the same project simultaneously.
Customization & Scalability
- The platform should be customizable to adapt to different annotation guidelines and scalable to accommodate a growing number of users and data.
We’re wondering if your no-code platform can accommodate these needs and functionalities. Looking forward to your insights!