Originally, our client's business relied on human workers for real-time interpretation services. However, with the rise of AI, they decided to pivot to AI-powered interpretation. They began integrating various APIs like Speechmatics and Azure Cognitive Speech into their platform, but some integrations lacked Java libraries. Since Azure/.NET expertise was needed, we joined their team. We immediately started analyzing requirements and suggesting ways to integrate services like detection, translation, speech-to-text and text-to-speech. Working closely with the DevOps team and microservice owners, we delivered features and optimize interpretation to achieve near real-time translation and speech processing. With AI assistance, our customer can enhance their services and avoid human errors caused by fatigue.
Originally, our client's business relied on human workers for real-time interpretation services. However, with the rise of AI, they decided to pivot to AI-powered interpretation. They began integrating various APIs like Speechmatics and Azure Cognitive Speech into their platform, but some integrations lacked Java libraries. Since Azure/.NET expertise was needed, we joined their team. We immediately started analyzing requirements and suggesting ways to integrate services like detection, translation, speech-to-text and text-to-speech. Working closely with the DevOps team and microservice owners, we delivered features and optimize interpretation to achieve near real-time translation and speech processing. With AI assistance, our customer can enhance their services and avoid human errors caused by fatigue.