Tencent Cloud speech recognition system ASR has undergone a major upgrade, significantly improving dialect recognition and noise immunity capabilities. This upgrade covers three aspects: dialect recognition, semantic understanding and anti-interference capabilities. It has been widely used by many enterprises inside and outside Tencent, with daily calls exceeding 10 billion times, demonstrating its strong technical strength and market influence. The upgraded ASR system will bring users a more accurate and efficient speech recognition experience in practical applications.
Tencent Cloud's latest speech recognition system, ASR, has been upgraded to improve its ability to handle dialects and noise. ASR supports the recognition of 23 regional dialects and can cope with dialect confusion. Through its self-developed hybrid recognition engine, ASR can quickly recognize and switch between different dialects. Using distillation algorithms and semi-supervised training, ASR can efficiently learn from labeled and unlabeled data, and can even handle small dialects of ethnic minorities. In terms of semantic recognition, ASR uses a large language model to extract intent through contextual semantics and big data to improve recognition accuracy. At the same time, ASR has also trained its anti-interference ability through independent learning and optimization algorithms, and can automatically filter noise and improve recognition accuracy. ASR has been widely used in Tencent's internal products and external industries, serving thousands of enterprise customers, with tens of billions of calls per day.This ASR upgrade not only improves the accuracy and efficiency of speech recognition, but also broadens its application scenarios and provides better services to more industries and users. In the future, I believe Tencent Cloud ASR will continue to innovate in the field of speech recognition and lead the development of the industry.