Salesforce的新语音转文本服务如何使用OpenAI Whisper模型进行实时转录

In our Engineering Energizers Q&A series, we explore the paths of engineering leaders who have attained significant accomplishments in their respective fields. Today, we spotlight Dima Statz, Director of Software Engineering at Salesforce, who leads the development of Salesforce’s new Speech-to-Text (STT) service**. STT leverages advanced speech recognition technology to provide real-time, accurate transcriptions of spoken language**, thereby aiding businesses in better understanding customer interactions and enhancing their communication strategies.

在我们的“Engineering Energizers Q&A”系列中，我们探索了在各自领域取得重大成就的工程领导者的经历。今天，我们聚焦于Salesforce的软件工程总监Dima Statz，他负责开发Salesforce的新的语音转文本（STT）服务**。STT利用先进的语音识别技术提供实时准确的口语转录**，从而帮助企业更好地理解客户互动并增强其沟通策略。

Explore how Dima’s team addresses technical challenges, such as developing real-time transcription services that balance low latency with high accuracy, ensuring new features do not compromise existing functionalities, and much more.

探索Dima团队如何解决技术挑战，例如开发平衡低延迟和高准确性的实时转录服务，确保新功能不会影响现有功能等等。

What is your team’s mission?

你们团队的使命是什么？

Our mission is to develop text-to-speech and speech-to-text capabilities for the Salesforce AI Platform, empowering developers with out-of-the-box speech AI services for efficient and rapid conversational AI application development.

我们的使命是为Salesforce AI平台开发文本转语音和语音转文本功能，为开发人员提供开箱即用的语音AI服务，以便高效快速地开发对话式AI应用。

Our team improves the accuracy and functionality of STT, ensuring it can seamlessly convert spoken language into text. This precision is crucial for analyzing customer interactions and optimizing communication processes. Through our efforts, we strive to help businesses enhance their service delivery and gain deeper insights into their customer engagements, ultimately driving better business outcomes.

我们的团队致力于提高STT的准确性和功能性，确保它能够将口语转化为文本。这种精确性对于分析客户互动和优化沟通流程至关重要。通过我们的努力，我们努力帮助企业提升服务交付能力，并深入了解客户互动，最终推动更好的业务结果。

What was your team’s most significant technical challenge?

你的团队面临的最大技术挑战是什么？

Recently, our team faced a significant technical challenge: developing a real-ti...