Datasets:

Languages:
English
ArXiv:
License:
michaelhe commited on
Commit
809000b
·
verified ·
1 Parent(s): 5768a6d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -15
README.md CHANGED
@@ -15,12 +15,6 @@ The **SpMis Dataset** is designed to facilitate research on detecting synthetic
15
  <!-- Provide a longer summary of what this dataset is. -->
16
  This dataset contains synthetic spoken audio clips generated using state-of-the-art TTS models such as Amphion and OpenVoice v2, labeled to indicate whether the speech is genuine or misinformation. The dataset is designed to assist in the development of models capable of detecting both synthetic speech and misinformation.
17
 
18
- - **Curated by:** Researchers from [Institution Names]
19
- - **Funded by [optional]:** [More Information Needed]
20
- - **Shared by [optional]:** [Institution Names or Individuals]
21
- - **Language(s) (NLP):** English
22
- - **License:** MIT License
23
-
24
  ### Dataset Sources [optional]
25
 
26
  <!-- Provide the basic links for the dataset. -->
@@ -32,15 +26,8 @@ This dataset contains synthetic spoken audio clips generated using state-of-the-
32
  ### Direct Use
33
 
34
  <!-- This section describes suitable use cases for the dataset. -->
35
- The dataset is intended to be used for training and evaluating models in tasks like:
36
- - **Synthetic speech detection**: Distinguishing human speech from TTS-generated speech.
37
- - **Misinformation detection**: Identifying whether the spoken content is intended to deceive or mislead.
38
- - **Speaker verification**: Verifying whether the speaker is correctly matched to the generated voice.
39
-
40
- ### Out-of-Scope Use
41
-
42
- <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
43
- This dataset should not be used for malicious purposes, such as creating or spreading synthetic misinformation. It also may not work well for tasks unrelated to speech or misinformation detection.
44
 
45
  ## Dataset Structure
46
 
 
15
  <!-- Provide a longer summary of what this dataset is. -->
16
  This dataset contains synthetic spoken audio clips generated using state-of-the-art TTS models such as Amphion and OpenVoice v2, labeled to indicate whether the speech is genuine or misinformation. The dataset is designed to assist in the development of models capable of detecting both synthetic speech and misinformation.
17
 
 
 
 
 
 
 
18
  ### Dataset Sources [optional]
19
 
20
  <!-- Provide the basic links for the dataset. -->
 
26
  ### Direct Use
27
 
28
  <!-- This section describes suitable use cases for the dataset. -->
29
+ The dataset is intended to be used for training and evaluating models in tasks:
30
+ - **Misinformation detection**: Identifying whether the spoken voice is intended to mislead.
 
 
 
 
 
 
 
31
 
32
  ## Dataset Structure
33