SenseVoice对富文本解码的参数 (#1608)

gaochangfeng

2024-04-11 fce4e1d1b48f23cd8332e60afce3df8d6209a6a7

 funasr/models/campplus/model.py

@@ -123,5 +123,5 @@
        time3 = time.perf_counter()
        meta_data["extract_feat"] = f"{time3 - time2:0.3f}"
        meta_data["batch_data_time"] = np.array(speech_times).sum().item() / 16000.0
        results = [{"spk_embedding": self.forward(speech)}]
        results = [{"spk_embedding": self.forward(speech.to(torch.float32))}]
        return results, meta_data