Speaker Similarity refers to the similarity between the synthesized speech and the target speaker's speech. The closer the similarity index value is to 1, the higher the similarity.

SIM is an important indicator to measure whether the voices of the speakers in two speech segments are similar. It is widely used in speech recognition, voiceprint recognition, speech synthesis evaluation and other fields. The SIM measurement criteria include the extraction of acoustic features, the generation of embedding vectors and the similarity calculation method. Through these methods, the similarity between two speech samples can be effectively measured and used in practical applications such as speaker recognition, speech synthesis, and multi-speaker scene processing, thereby enhancing the performance and user experience of speech technology in practical applications.