@@ -226,6 +226,12 @@ recall and elapsed time statistics are shown in the following figure：
...
@@ -226,6 +226,12 @@ recall and elapsed time statistics are shown in the following figure：
The retrieval framework based on Milvus takes about 2.9 milliseconds to retrieve on the premise of 90% recall rate, and it takes about 500 milliseconds for feature extraction (testing audio takes about 5 seconds), that is, a single audio test takes about 503 milliseconds in total, which can meet most application scenarios.
The retrieval framework based on Milvus takes about 2.9 milliseconds to retrieve on the premise of 90% recall rate, and it takes about 500 milliseconds for feature extraction (testing audio takes about 5 seconds), that is, a single audio test takes about 503 milliseconds in total, which can meet most application scenarios.
* compute embeding takes 500 ms
* retrieval with cosine takes 2.9 ms
* total takes 503 ms
> test audio is 5 sec
### 6.Pretrained Models
### 6.Pretrained Models
Here is a list of pretrained models released by PaddleSpeech :
Here is a list of pretrained models released by PaddleSpeech :
