update README.md

README.md

@@ -18,11 +18,16 @@ tags:
 - Speaker Recognition
 ---
 
-## SpeechT5 SID Manifest
+## SpeechT5 SID
 
 | [**Github**](https://github.com/microsoft/SpeechT5) | [**Huggingface**](https://huggingface.co/mechanicalsea/speecht5-sid) |
 
-This manifest is an attempt to recreate the Speaker Identification recipe used for training [SpeechT5](https://aclanthology.org/2022.acl-long.393). This manifest was constructed using [CMU ARCTIC](http://www.festvox.org/cmu_arctic/) four speakers, e.g., bdl, clb, rms, slt. There are 932 utterances for training, 100 utterances for validation, and 100 utterance for evaluation.
+This manifest is an attempt to recreate the Speaker Identification recipe used for training [SpeechT5](https://aclanthology.org/2022.acl-long.393). This manifest was constructed using [VoxCeleb1](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html) containing over 100,000 utterances for 1,251 celebrities. The identification split are given as follows.
+
+|                     |   train | valid |  test |
+| ------------------- | ------: | ----: | ----: |
+| **# of speakers**   |   1,251 | 1,251 | 1,251 |
+| **# of utterances** | 138,361 | 6,904 | 8,251 |
 
 ### Requirements
 
@@ -35,8 +40,9 @@ This manifest is an attempt to recreate the Speaker Identification recipe used f
 
 ### Model and Results
 
-- [`speecht5_sid.pt`](.) are reimplemented Speaker Identification fine-tuning on the released manifest **but with a smaller batch size** (Ensure the manifest is ok).
-- `results` are reproduced by the released fine-tuned model.
+- [`speecht5_sid.pt`](./speecht5_sid.pt) are reimplemented Speaker Identification fine-tuning on the released manifest **but with a smaller batch size** (Ensure the manifest is ok).
+- `results` are reproduced by the released fine-tuned model and the accuracy is $96.194\%$.
+- `log` is the tensorboard log of fine-tuning the released model.
 
 ### Reference