Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,47 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- automatic-speech-recognition
|
| 5 |
+
- audio-classification
|
| 6 |
+
- audio-to-audio
|
| 7 |
+
language:
|
| 8 |
+
- hi
|
| 9 |
+
- en
|
| 10 |
+
annotations_creators:
|
| 11 |
+
- crowdsourced
|
| 12 |
+
tags:
|
| 13 |
+
- speech
|
| 14 |
+
- speech-emotion-recognition
|
| 15 |
+
- automatic-speech-recognition
|
| 16 |
+
- audio-processing
|
| 17 |
+
- hindi
|
| 18 |
+
- multilingual
|
| 19 |
+
pretty_name: BhavVani
|
| 20 |
+
size_categories:
|
| 21 |
+
- 1K<n<10K
|
| 22 |
+
configs:
|
| 23 |
+
- config_name: default # Name of the dataset subset, if applicable. Example: default
|
| 24 |
+
data_files:
|
| 25 |
+
- split: train # Example: train
|
| 26 |
+
path: train.csv # Example: data.csv
|
| 27 |
+
- split: dev # Example: test
|
| 28 |
+
path: val.csv # Example: holdout.csv
|
| 29 |
+
- split: test # Example: test
|
| 30 |
+
path: test.csv # Example: holdout.csv
|
| 31 |
+
---
|
| 32 |
+
|
| 33 |
+
# Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning
|
| 34 |
+
|
| 35 |
+
This repository contains the BhavVani dataset introduced in the INTERSPEECH 2024 Paper :
|
| 36 |
+
[Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning](https://www.isca-archive.org/interspeech_2024/goel24_interspeech.pdf)
|
| 37 |
+
|
| 38 |
+
## Overview
|
| 39 |
+
In our work, we propose the following contributions:
|
| 40 |
+
1. We introduce the `CAMuLeNet` architecture for generalizing emotion recognition architectures to unseen speaker distributions using co-attention on features and multi-task learning:
|
| 41 |
+

|
| 42 |
+
|
| 43 |
+
2. We introduce the <b>first-ever</b> Hindi SER dataset - `BhavVani`. The statistics for the same are shared below:
|
| 44 |
+

|
| 45 |
+
|
| 46 |
+
## BhavVani Dataset
|
| 47 |
+
Please fill this form for accessing the audio files associated with the BhavVani dataset: [Form Link](https://forms.gle/9AqxS2oY4XVSeH1UA)
|