fx

README.md

@@ -18,18 +18,18 @@ tags:
 
 # Arousal - Dominance - Valence
 
-Dimensional Speech Emotion Recognition model of simultaneous use of [WavLM](https://huggingface.co/3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes) / [Wav2Vec2.0](https://hf.rst.im/audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim).
-Achieves `0.6760566` valence CCC on [MSP Podcast Test 1](https://paperswithcode.com/sota/speech-emotion-recognition-on-msp-podcast). Used as teacher for [Wav2Small](https://arxiv.org/abs/2408.13920).
+Dimensional Speech Emotion Recognition model of simultaneous use of [wavlm](https://huggingface.co/3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes) / [wav2vec2.0](https://github.com/audeering/w2v2-how-to).
+Achieves `0.6760566` valence CCC on [MSP Podcast Test 1](https://paperswithcode.com/sota/speech-emotion-recognition-on-msp-podcast). Used as teacher for [wav2small ..]().
 
 
 
-**[PapersWithCode](https://paperswithcode.com/dataset/msp-podcast)**
+**[PapersWithCode](https://paperswithcode.com/dataset/msp-podcast) / [arXiv](https://arxiv.org/abs/2408.13920)**
 
 ```
-Wav2Small: Distilling Wav2Vec2 to 72K parameters for Low-Resource Speech emotion recognition.
-Dionyssos Kounadis-Bastian, Oliver Schrüfer, Anna Derington, Hagen Wierstorf,
-Florian Eyben, Felix Burkhardt, Björn Schuller.
-2024, arXiV Preprint
+Wav2Small: Distilling Wav2Vec2 to 72K parameters for low-resource
+speech emotion recognition.
+D. Kounadis-Bastian, O. Schrüfer, A. Derington, H. Wierstorf,
+F. Eyben, F. Burkhardt, B.W. Schuller. 2024, arXiV Preprint
 ```
 
 <table style="width:500px">
@@ -41,7 +41,7 @@ Florian Eyben, Felix Burkhardt, Björn Schuller.
  
 
 
-# How To
+# HowTo
 ```python
 import librosa
 import torch