Development of a Speech Recognition and Workflow Management Platform

The client faces inefficiencies due to fragmented platforms for users and administrators. Users require access to task-specific instructions, tips, and work time evaluation, while administrators need to prepare, outline, and assign tasks, including adding audio and text files. The existing setup lacks automation integration, leading to manual quality control, inconsistent exports, and limited scalability. This results in reduced efficiency, increased operational costs, and limited capacity to handle larger volumes of transcription tasks.

A medium-sized media company specializing in content transcription and annotation services seeking an integrated platform to streamline their transcription workflow with automated speech recognition and robust project management features.

• Develop an integrated platform that consolidates user and administrator workflows into a single, cohesive system.
• Implement automatic speech recognition (ASR) to generate annotations and transcriptions, reducing manual workload.
• Design new export formats compatible with downstream applications and client requirements.
• Enable automated quality controls and streamlined project file management to improve accuracy and turnaround times.
• Create a scalable infrastructure capable of supporting increased volume and concurrent users.
• Implement automated testing to ensure system stability, performance, and security during deployment.

• Unified Dashboard for users and administrators to access tasks, tips, and instructions.
• Task creation and management module allowing admins to prepare, outline, and assign tasks including audio and text file uploads.
• Integration of Automatic Speech Recognition (ASR) to generate transcriptions and annotations automatically.
• Work time tracking and compensation calculation based on task completion metrics.
• Quality control features including file management, review, and approval workflows.
• Export module supporting multiple formats to facilitate data sharing and downstream processing.
• Automated notifications and tips to guide users through tasks.

• Speech recognition APIs or services for ASR capabilities
• Audio and text file storage solutions
• Payment systems for handling user compensation
• Analytics and reporting tools for system usage and performance monitoring

• System should support at least 50 concurrent users with minimal latency
• Automated testing coverage including WebdriverIO, UAT, API testing, and performance testing with tools like jMeter
• Data security compliance, especially concerning audio and transcription data
• High availability architecture to ensure 99.9% uptime
• Scalability to handle increased volume with performance metrics defined

The implementation of this integrated transcription management system is expected to significantly enhance operational efficiency by automating annotation processes through ASR and consolidating workflow management. This will reduce manual effort, shorten turnaround times, and support increased volume capacity. Anticipated results include improved quality control, streamlined project execution, and reduced operational costs, enabling the client to scale their services effectively and improve client satisfaction.