Unsupervised Speech Recognition

Unsupervised speech recognition refers to the technology that automatically parses and transcribes speech signals using machine learning algorithms without annotated data. Its goal is to enhance the robustness and generalization capabilities of speech recognition systems, reducing their reliance on large amounts of labeled data. This technology has significant application value in areas such as speech search, speech monitoring, and multilingual processing, effectively improving data processing efficiency and system performance.