yfyeung
/

CLSP

@@ -13,7 +13,7 @@ license: apache-2.0
 **CLSP** (pronounced /klɪsp/) is a contrastive language–speech pretraining model for open-ended speaking style modeling that integrates global and fine-grained supervision to learn unified representations across multiple granularities. It performs reliably across global and fine-grained speech-text retrieval, zero-shot paralinguistic classification, and speech style similarity scoring, with strong alignment to human judgments.
-Detailed usage can be found in the [GitHub Repo](https://github.com/yfyeung/CLSP).
 **Note**: The model is pretrained on 16kHz sampled speech/audio data. When using the model, make sure that your input is also sampled at 16kHz.

 **CLSP** (pronounced /klɪsp/) is a contrastive language–speech pretraining model for open-ended speaking style modeling that integrates global and fine-grained supervision to learn unified representations across multiple granularities. It performs reliably across global and fine-grained speech-text retrieval, zero-shot paralinguistic classification, and speech style similarity scoring, with strong alignment to human judgments.
+For detailed usage, please refer to the [GitHub Repo](https://github.com/yfyeung/CLSP).
 **Note**: The model is pretrained on 16kHz sampled speech/audio data. When using the model, make sure that your input is also sampled at 16kHz.