Sequence-To-Sequence Speech Recognition

Sequence-to-Sequence Speech Recognition is an advanced technology that directly converts continuous speech signals into text sequences. Its core objective is to achieve end-to-end speech recognition through deep learning models, thereby improving recognition accuracy and efficiency. This technology has significant application value in areas such as automatic subtitle generation, voice assistants, and telephone customer service systems, and can significantly enhance user experience and system performance.