diff --git a/demos/audio_searching/README.md b/demos/audio_searching/README.md index db38d14ed4d61d74833fcd81413d74af20fe473d..0fc901432bfeb8b103a0607458174a0d0e486344 100644 --- a/demos/audio_searching/README.md +++ b/demos/audio_searching/README.md @@ -226,6 +226,12 @@ recall and elapsed time statistics are shown in the following figureļ¼š 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 Here is a list of pretrained models released by PaddleSpeech :